Schema
Describes data shapes and how unknown input becomes trusted values.
A schema can validate input, decode it into an application type, and encode that value back to another representation. This module contains the main schema, codec, decoder, and encoder APIs, together with schemas for common JavaScript values and Effect data types. It also supports refinements, transformations, defaults, classes, JSON Schema generation, test data generation, formatting, equivalence, optics, and differs derived from schema definitions.
Annotations
Adds metadata annotations to a schema without changing its runtime behavior.
This is the pipeable (curried) counterpart of the .annotate method.
Details
Annotations provide extra context used by documentation generators, JSON
Schema converters, error formatters, and other tooling. Common keys include
title, description, examples, message, and identifier.
See
- annotateEncoded to annotate the encoded side instead.
Signature
declare function annotate<S extends Top>(annotations: Bottom<S["Type"], S["~type.parameters"]>): (self: S) => S["Rebuild"]Example
(Adding a title and description)
import { Schema } from "effect"
const Age = Schema.Natural.pipe( Schema.annotate({ title: "Age", description: "A non-negative integer representing age in years" }))Schema.resolveAnnotations(Age)?.title // => "Age"annotateEncoded
Adds metadata annotations to the encoded side of a schema without
changing its runtime behavior. This is the encoded-side counterpart of
annotate, which targets the decoded (Type) side.
Details
Internally the schema is flipped so that Encoded becomes Type,
annotated, and then flipped back.
See
- annotate to annotate the type side instead.
Signature
declare function annotateEncoded<S extends Top>(annotations: Bottom<S["Encoded"], readonly []>): (self: S) => S["Rebuild"]Example
(Adding a title to the encoded representation)
import { Schema } from "effect"
const schema = Schema.NumberFromString.pipe( Schema.annotateEncoded({ title: "my title" }))
Schema.toEncoded(schema).ast.annotations?.title // => "my title"annotateKey
Adds key-level annotations to a schema field. This is the pipeable
(curried) counterpart of the .annotateKey method.
Details
Key annotations apply to a field's position inside a Struct or Tuple
rather than to the field's value type. They can carry a
messageMissingKey to customise the error shown when the field is absent,
as well as standard documentation fields such as title, description,
and examples.
Signature
declare function annotateKey<S extends Top>(annotations: Key<S["Type"]>): (self: S) => S["Rebuild"]Example
(Customizing the missing-key message for a required field)
import { Schema } from "effect"
const schema = Schema.Struct({ username: Schema.String.pipe( Schema.annotateKey({ description: "The username used to log in", messageMissingKey: "Username is required" }) )})schema.fields.username.ast.context?.annotations?.messageMissingKey // => "Username is required"Branding
Adds a nominal brand to a schema, intersecting the output type with
Brand.Brand<B> to prevent accidental mixing of structurally identical types.
When to use
Use to make values decoded by an existing schema nominally distinct when the schema already carries the runtime validation you need.
Gotchas
brand adds brand metadata and narrows the TypeScript output type, but it
does not add runtime checks.
See
- fromBrand for applying a Brand constructor's checks along with the brand tag
Signature
declare function brand<B extends string>(identifier: B): <S extends ConstraintRebuildable>(schema: S) => brand<S["Rebuild"], B>Type-level representation returned by brand.
Signature
interface brand<S extends Constraint, B> extends BottomLazy<S["ast"], brand<S, B>, S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["Type"] & UnionToIntersection<B extends U ? Brand<U> : never>; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: S["Encoded"]; readonly EncodingServices: S["EncodingServices"]; readonly identifier: string; readonly Iso: S["Type"] & UnionToIntersection<B extends U ? Brand<U> : never>; readonly schema: S; readonly Type: S["Type"] & UnionToIntersection<B extends U ? Brand<U> : never>;}Creates a branded schema from a Brand.Constructor, applying the constructor's checks and brand tag to the underlying schema.
Signature
declare function fromBrand<A extends Brand<any>>(identifier: string, ctor: Constructor<A>): <S extends Top & { readonly Type: Unbranded<A>;}>(self: S) => brand<S["Rebuild"], keyof A["~effect/Brand"]>Combinators
fieldsAssign
Adds fields to a struct schema through a struct-mapping lambda.
When to use
Use to add the same fields to an existing struct or every struct member of a union.
Details
This is a shortcut for MyStruct.mapFields(Struct.assign(fields)).
Signature
declare function fieldsAssign<NewFields extends Fields>(fields: NewFields): fieldsAssign<NewFields>Example
(Adding fields to a union of structs)
import { Schema, Tuple } from "effect"
// Add a new field to all members of a union of structsconst schema = Schema.Union([ Schema.Struct({ a: Schema.String }), Schema.Struct({ b: Schema.Number })]).mapMembers(Tuple.map(Schema.fieldsAssign({ c: Schema.Number })))Schema.decodeSync(schema)({ a: "a", c: 1 }) // => { a: "a", c: 1 }mutableKey
Makes a struct field mutable (removes the readonly modifier on the property).
Use readonlyKey to reverse.
Signature
declare const mutableKey: mutableKeyLambdaMarks a struct field as optional, allowing the key to be absent or
undefined.
Details
The resulting property may be absent or explicitly set to undefined.
Equivalent to optionalKey(UndefinedOr(S)).
Use optionalKey instead if you want exact optional semantics (absent
only, not undefined).
Signature
declare const optional: optionalLambdaExample
(Defining an optional field accepting undefined)
import { Schema } from "effect"
const schema = Schema.Struct({ name: Schema.String, age: Schema.optional(Schema.Number)})
// { readonly name: string; readonly age?: number | undefined }type Person = typeof schema.TypeoptionalKey
Creates an exact optional key schema for struct fields. Unlike optional,
this creates exact optional properties (not | undefined) that can be
completely omitted from the object.
Signature
declare const optionalKey: optionalKeyLambdaExample
(Creating a struct with optional key)
import { Schema } from "effect"
const schema = Schema.Struct({ name: Schema.String, age: Schema.optionalKey(Schema.Number)})
// Type: { readonly name: string; readonly age?: number }type Person = typeof schema["Type"]readonlyKey
Reverses mutableKey and returns the inner readonly schema.
When to use
Use to remove mutable-key wrapping from a schema field that was previously wrapped with mutableKey.
Signature
declare const readonlyKey: readonlyKeyLambdaReverses optional and returns the inner schema.
When to use
Use to remove optional wrapping from a schema field that was previously wrapped with optional.
Details
This also unwraps the UndefinedOr member added by optional.
Signature
declare const required: requiredLambdarequiredKey
Reverses optionalKey and returns the inner required schema.
When to use
Use to remove optional-key wrapping from a schema field that was previously wrapped with optionalKey.
Signature
declare const requiredKey: requiredKeyLambdatoTaggedUnion
Augments an existing Union of tagged structs with utility methods and an ordered tuple of discriminant values.
Gotchas
Throws if multiple members use the same discriminant property key.
See
- TaggedUnion for a shorthand that builds the union from scratch
Signature
declare function toTaggedUnion<Tag extends PropertyKey>(tag: Tag): <Members extends readonly Array<Constraint & { readonly Type: { [K in PropertyKey]: PropertyKey };}>>(self: Union<Members>) => toTaggedUnion<Tag, Members>Example
(Adding tagged-union utilities to an existing union)
import { Schema } from "effect"
const A = Schema.TaggedStruct("A", { value: Schema.Number })const B = Schema.TaggedStruct("B", { name: Schema.String })
const MyUnion = Schema.Union([A, B]).pipe(Schema.toTaggedUnion("_tag"))
// Pattern-match on the unionconst result = MyUnion.match({ _tag: "A", value: 1 }, { A: (a) => `number: ${a.value}`, B: (b) => `name: ${b.name}`})result // => "number: 1"toTaggedUnion type
Type-level representation returned by toTaggedUnion.
Signature
type toTaggedUnion<Tag extends PropertyKey, Members extends ReadonlyArray<Constraint & { readonly Type: { [K in Tag]: PropertyKey };}>> = Union<Members> & TaggedUnionUtils<Tag, Members>Constructors
Signature
declare const Array: ArrayLambdaArrayEnsure
Creates a schema that accepts either a value decoded by schema or an array
decoded by Schema.Array(schema), then returns an array.
When to use
Use to accept input that may be provided either as one item or as an array, while normalizing decoded values to a readonly array.
Details
During encoding, one-element arrays are encoded as the single element. Empty arrays and arrays with two or more elements are encoded as arrays.
Gotchas
The single-value branch is tried before the array branch. If schema itself
accepts arrays, an array input can be treated as one value and wrapped in a
one-element array.
See
- Array for accepting only array input
- NonEmptyArray for requiring at least one decoded element
Signature
declare function ArrayEnsure<S extends Constraint>(schema: S): ArrayEnsure<S>ArrayEnsure interface
Type-level representation returned by ArrayEnsure.
Signature
interface ArrayEnsure<S extends Constraint> extends decodeTo<$Array<toType<S>>, Union<readonly [S, $Array<S>]>> { constructor(_: never); readonly Rebuild: ArrayEnsure<S>;}Creates a schema-backed class whose constructor validates input against a
Struct schema. Construction throws an Error with a
SchemaIssue.Issue in its cause on invalid input.
When to use
Use when you need a schema-backed data class with validated construction, schema-derived decoding/encoding, and class-style methods or inheritance.
Details
Pass the desired class type as the first type parameter. The second optional type parameter can be used to add nominal brands.
The identifier is the schema's stable runtime name. It is exposed on the
class, stored in the schema AST, and used to label diagnostics and generated
references as well as to format class instances.
It also derives a runtime marker that recognizes instances across hot module
reloads, where instanceof can fail because the constructor has been
replaced. The identifier is explicit because the outer JavaScript class name
is not available while the extends expression is evaluated and may change
through renaming or minification.
Gotchas
Passing disableChecks in the options skips constructor validation.
See
- TaggedClass for adding a
_tagliteral field to the class schema - Error for defining schema-backed error classes
- TaggedError for defining tagged schema-backed error classes
Signature
declare const Class: <Self = never, Brand = {}>(identifier: string) => { <Fields extends Fields>(fields: Fields, annotations?: Declaration<Self, readonly [Struct<Fields>]>): [Self] extends [never] ? "Missing `Self` generic - use `class Self extends Schema.Class<Self>(...)`" : Class<Self, Struct<Fields>, Brand>; <S extends Struct<Fields>>(schema: S, annotations?: Declaration<Self, readonly [S]>): [Self] extends [never] ? "Missing `Self` generic - use `class Self extends Schema.Class<Self>(...)`" : Class<Self, S, Brand>;}Example
(Defining a basic class)
import { Schema } from "effect"
class Person extends Schema.Class<Person>("Person")({ name: Schema.String, age: Schema.Number}) {}
const alice = new Person({ name: "Alice", age: 30 })alice.name // => "Alice"String(alice) // => "Person({\"name\":\"Alice\",\"age\":30})"Example
(Extending a class)
import { Schema } from "effect"
class Animal extends Schema.Class<Animal>("Animal")({ name: Schema.String}) {}
class Dog extends Animal.extend<Dog>("Dog")({ breed: Schema.String}) {}
const dog = new Dog({ name: "Rex", breed: "Labrador" })dog.name // => "Rex"dog.breed // => "Labrador"Creates a schema for a non-parametric opaque type using a type-guard
function. The schema accepts any unknown value and succeeds when is returns
true, failing with an InvalidType issue otherwise.
When to use
Use when you are defining a schema for an opaque type with no type parameters and validation can be expressed as a type guard.
See
- declareConstructor for creating schemas for parametric types.
Signature
declare function declare<T, Iso = T>(is: (u: unknown) => u is T, annotations?: Declaration<T, readonly []>): declare<T, Iso>Example
import { Schema } from "effect"
type UserId = string & { readonly _tag: "UserId" }
const isUserId = (u: unknown): u is UserId => typeof u === "string" && u.startsWith("user_")
const UserId = Schema.declare<UserId>(isUserId, { title: "UserId", description: "A user identifier starting with 'user_'"})Schema.decodeUnknownSync(UserId)("user_123") // => "user_123"Type-level representation returned by declare.
Signature
interface declare<T, Iso = T> extends declareConstructor<T, T, readonly [], Iso> { constructor(_: never); readonly Rebuild: declare<T, Iso>;}declareConstructor
Creates a schema for a parametric type (a generic container such as
Array<A>, Option<A>, etc.) by accepting a list of type-parameter schemas
and a decoder factory.
When to use
Use when you are defining a schema for a generic container whose validation depends on one or more type-parameter schemas.
Details
The outer call declareConstructor<T, E, Iso>() fixes the decoded type T,
the encoded type E, and the optional iso type. The inner call receives:
typeParameters— the concrete schemas for each type variablerun— a factory that, given resolved codecs for each type parameter, returns a parsing function(u, ast, options) => Effect<T, Issue>annotations— optional metadata
See
- declare for creating schemas for non-parametric types.
Signature
declare function declareConstructor<T, E = T, Iso = T>(): <TypeParameters extends readonly Array<Constraint>>(typeParameters: TypeParameters, run: (typeParameters: { [K in string | number | symbol]: Codec<TypeParameters[K]["Type"], TypeParameters[K]["Encoded"], never, never> }) => (u: unknown, self: Declaration, options: ParseOptions) => Effect<T, Issue>, annotations?: Declaration<T, TypeParameters>) => declareConstructor<T, E, TypeParameters, Iso>declareConstructor interface
Type-level representation returned by declareConstructor.
Signature
interface declareConstructor<T, E, TypeParameters extends ReadonlyArray<Constraint>, Iso = T> extends Bottom<T, E, TypeParameters[number]["DecodingServices"], TypeParameters[number]["EncodingServices"], SchemaAST.Declaration, declareConstructor<T, E, TypeParameters, Iso>, T, Iso, TypeParameters> { constructor(_: never);}Creates a schema from a TypeScript enum object. Validates that the input is one of the enum's values.
Signature
declare function Enum<A extends { [x: string]: string | number;}>(enums: A): Enum<A>Example
(Defining a direction enum)
import { Schema } from "effect"
enum Direction { Up = "Up", Down = "Down"}
const schema = Schema.Enum(Direction)Schema.decodeSync(schema)(Direction.Up) // => "Up"Creates a schema-backed error class that can be used as a typed,
yieldable error in Effect programs. Combines Class validation with
the YieldableError interface so instances can be yielded directly inside
Effect.gen.
Signature
declare const Error: <Self = never, Brand = {}>(identifier: string) => { <Fields extends Fields>(fields: Fields, annotations?: Declaration<Self, readonly [Struct<Fields>]>): [Self] extends [never] ? "Missing `Self` generic - use `class Self extends Schema.Error<Self>(...)`" : Class<Self, Struct<Fields>, YieldableError & Brand>; <S extends Struct<Fields>>(schema: S, annotations?: Declaration<Self, readonly [S]>): [Self] extends [never] ? "Missing `Self` generic - use `class Self extends Schema.Error<Self>(...)`" : Class<Self, S, YieldableError & Brand>;}Example
(Schema-backed error)
import { Effect, Schema } from "effect"
class NotFound extends Schema.Error<NotFound>("NotFound")({ id: Schema.Number}) {}
const program = Effect.gen(function*() { yield* new NotFound({ id: 1 })})const error = await Effect.runPromise(Effect.flip(program))error.id // => 1instanceOf
Creates a schema that validates values using instanceof.
Decoding and encoding pass the value through unchanged.
Signature
declare function instanceOf<C extends (...args: any) => any, Iso = InstanceType<C>>(constructor: C, annotations?: Declaration<InstanceType<C>, readonly []>): instanceOf<InstanceType<C>, Iso>Example
(Defining a schema for a built-in class)
import { Schema } from "effect"
const DateSchema = Schema.instanceOf(Date)
const decoded = Schema.decodeUnknownSync(DateSchema)(new Date("2024-01-01"))decoded.toISOString() // => "2024-01-01T00:00:00.000Z"Creates a schema for a single literal value (string, number, bigint, boolean, or null).
See
Signature
declare function Literal<L extends LiteralValue>(literal: L): Literal<L>Example
(Defining a string literal)
import { Schema } from "effect"
const schema = Schema.Literal("hello")// Type: Schema.Literal<"hello">Schema.decodeSync(schema)("hello") // => "hello"Creates a union schema from an array of literal values.
See
- Literal for a schema that represents a single literal.
Signature
declare function Literals<L extends readonly Array<LiteralValue>>(literals: L): Literals<L>Example
(Defining status codes)
import { Schema } from "effect"
const schema = Schema.Literals(["active", "inactive", "pending"])Schema.decodeSync(schema)("active") // => "active"Creates a schema from an AST (Abstract Syntax Tree) node.
Details
This is the fundamental constructor for all schemas in the Effect Schema library. It takes an AST node and wraps it in a fully-typed schema that preserves all type information and provides the complete schema API.
The make function is used internally to create all primitive schemas like
String, Number, Boolean, etc., as well as more complex schemas. It's
the bridge between the untyped AST representation and the strongly-typed
schema.
Signature
declare const make: <S extends Constraint>(ast: S["ast"], options?: object) => SmakeFilter
Creates a custom validation filter from a predicate function.
Details
The predicate receives the decoded input value, the schema AST, and parse
options, and returns a FilterOutput. Non-success outputs are normalized into
schema issues. The annotations parameter annotates the filter itself; with
the default formatter, failures use message first, expected second, and
<filter> when neither is provided.
When abort is true, parsing stops after this filter fails instead of
collecting later check failures.
Signature
declare const makeFilter: <T>(filter: (input: T, ast: SchemaAST.AST, options: SchemaAST.ParseOptions) => FilterOutput, annotations?: Annotations.Filter, abort?: boolean) => SchemaAST.Filter<T>Example
(Reporting failure at a nested path)
import { Result, Schema } from "effect"
const schema = Schema.Struct({ password: Schema.String, confirmPassword: Schema.String }).check( Schema.makeFilter((o) => o.password === o.confirmPassword ? undefined : { path: ["password"], issue: "password and confirmPassword must match" } ))
const result = Schema.decodeUnknownResult(schema)({ password: "123456", confirmPassword: "1234567" })if (Result.isFailure(result) && result.failure.issue._tag === "Filter" && result.failure.issue.issue._tag === "Pointer") { result.failure.issue.issue.path // => ["password"]}Example
(Reporting multiple failures at once)
import { Result, Schema } from "effect"
const schema = Schema.Struct({ a: Schema.Finite, b: Schema.Finite, c: Schema.Finite }).check( Schema.makeFilter((o) => { const issues: Array<Schema.FilterIssue> = [] if (o.a > 0) { if (o.b <= 0) issues.push({ path: ["b"], issue: "b must be greater than 0" }) if (o.c <= 0) issues.push({ path: ["c"], issue: "c must be greater than 0" }) } return issues }))
const result = Schema.decodeUnknownResult(schema)({ a: 1, b: 0, c: 0 })if (Result.isFailure(result) && result.failure.issue._tag === "Filter" && result.failure.issue.issue._tag === "Composite") { result.failure.issue.issue.issues.map((issue) => issue._tag === "Pointer" ? issue.path : []) // => [["b"], ["c"]]}makeFilterGroup
Groups multiple checks into a single SchemaAST.FilterGroup, applying optional shared annotations to the group as a whole.
Signature
declare function makeFilterGroup<T>(checks: readonly [Check<T>, Check<T>], annotations: Filter | undefined): FilterGroup<T>NonEmptyArray
Defines a non-empty ReadonlyArray schema — at least one element required.
Type is readonly [T, ...T[]].
Signature
declare const NonEmptyArray: NonEmptyArrayLambdaExample
(Defining a non-empty array of numbers)
import { Schema } from "effect"
const schema = Schema.NonEmptyArray(Schema.Number)
Schema.decodeUnknownSync(schema)([1, 2, 3]) // => [1, 2, 3]Creates a union schema of S | null | undefined.
Signature
declare const NullishOr: NullishOrLambdaCreates a union schema of S | null.
Signature
declare const NullOr: NullOrLambdaWraps a struct schema so that its decoded Type becomes a nominally distinct type Self.
Useful for creating opaque types that are structurally identical to a base struct
but type-incompatible with it.
Signature
declare function Opaque<Self, Brand = {}>(): <S extends Top>(schema: S) => Opaque<Self, S, Brand> & Omit<S, keyof Top>Example
(Defining opaque structs)
import { Schema } from "effect"
class Person extends Schema.Opaque<Person>()( Schema.Struct({ name: Schema.String })) {}
// Decoded value is Person, not { name: string }const person = Schema.decodeUnknownSync(Person)({ name: "Alice" })person.name // => "Alice"Defines a record schema whose dynamic properties are selected by a key schema and decoded with a value schema.
Details
For dynamic keys, the key schema selects matching own properties and the value schema decodes or encodes only those selected properties. Checks on string, number, symbol, and template literal key schemas narrow which properties are selected.
For transformed key schemas, property selection is based on encoded property names before the selected key is decoded.
Gotchas
When decoded or encoded key transformations produce the same property key,
sequential parsing applies selected own properties in selection order, so
the later selected property overwrites the earlier value. With concurrency
greater than 1, completion order determines which value is retained.
Signature
declare function Record<Key extends Key, Value extends Constraint>(key: Key, value: Value): $Record<Key, Value>Example
(Defining a string-keyed record of numbers)
import { Schema } from "effect"
const schema = Schema.Record(Schema.String, Schema.Number)
// { readonly [x: string]: number }type R = typeof schema.Type
Schema.decodeUnknownSync(schema)({ a: 1, b: 2 }) // => { a: 1, b: 2 }Defines a struct schema from a map of field schemas.
Details
Each field value is a schema. Use optionalKey or optional to mark fields as optional, and mutableKey to mark them as mutable.
The resulting schema's Type is a readonly object type with the fields'
decoded types. The Encoded form mirrors the field schemas' encoded types.
Signature
declare function Struct<Fields extends Fields>(fields: Fields): Struct<Fields>Example
(Defining a basic struct)
import { Schema } from "effect"
const Person = Schema.Struct({ name: Schema.String, age: Schema.Number, email: Schema.optionalKey(Schema.String)})
// { readonly name: string; readonly age: number; readonly email?: string }type Person = typeof Person.Type
Schema.decodeUnknownSync(Person)({ name: "Alice", age: 30 }) // => { name: "Alice", age: 30 }StructWithRest
Extends a struct schema with one or more record (index-signature) schemas, producing a schema whose decoded type intersects the struct and all records.
Gotchas
TypeScript index signatures also apply to fixed keys. StructWithRest does
not reject incompatible fixed fields at the call site; use
StructWithRest.ValidateRecords when you want an explicit type-level
compatibility check.
Signature
declare function StructWithRest<S extends Objects, Records extends Records>(schema: S, records: Records): StructWithRest<S, Records>Example
(Defining structs with string-indexed extra keys)
import { Schema } from "effect"
const schema = Schema.StructWithRest( Schema.Struct({ id: Schema.Number }), [Schema.Record(Schema.String, Schema.Number)])
// { readonly id: number, readonly [x: string]: number }type T = typeof schema.TypeCreates a suspended schema that defers evaluation until needed. This is essential for creating recursive schemas where a schema references itself, preventing infinite recursion during schema definition.
Signature
declare function suspend<S extends Constraint>(f: () => S): suspend<S>Example
(Defining recursive tree schemas)
import { Schema } from "effect"
interface Tree { readonly value: number readonly children: ReadonlyArray<Tree>}
const Tree = Schema.Struct({ value: Schema.Number, children: Schema.Array(Schema.suspend((): Schema.Codec<Tree> => Tree))})Schema.decodeSync(Tree)({ value: 1, children: [] }) // => { value: 1, children: [] }Combines a Literal schema with withConstructorDefault, making it ideal
for discriminator fields in tagged unions. When constructing via make, the
_tag field can be omitted and will be filled automatically.
See
- tagDefaultOmit to also omit the tag during encoding
- TaggedStruct for a shorthand that adds
_tagautomatically
Signature
declare function tag<Tag extends LiteralValue>(literal: Tag): tag<Tag>Example
(Defining a discriminated union tag)
import { Schema } from "effect"
const A = Schema.Struct({ _tag: Schema.tag("A"), value: Schema.Number })
// _tag is optional in make, auto-filled to "A"const a = A.make({ value: 42 })a // => { _tag: "A", value: 42 }Type-level representation returned by tag.
Signature
interface tag<Tag extends SchemaAST.LiteralValue> extends withConstructorDefault<Literal<Tag>> { constructor(_: never);}tagDefaultOmit
Creates a literal _tag schema that is omitted from encoded output.
When to use
Use to decode data that omits the discriminator field while still constructing
values with a _tag for tagged union matching.
Details
The tag is filled during decoding and construction, like tag, but is omitted when encoding.
See
- tag for the variant that keeps the tag during encoding
Signature
declare function tagDefaultOmit<Tag extends LiteralValue>(literal: Tag): withDecodingDefaultKey<tag<Tag>, never>Example
(Omitting tags during encoding)
import { Schema } from "effect"
const A = Schema.Struct({ _tag: Schema.tagDefaultOmit("A"), value: Schema.Number})
// Encode strips the _tag fieldSchema.encodeUnknownSync(A)({ _tag: "A", value: 1 }) // => { value: 1 }TaggedClass
Defines a schema-backed class with an automatically populated _tag field.
When to use
Use to define class instances that are validated by a schema and participate in tagged union matching.
Details
The optional identifier parameter overrides the schema identifier;
it defaults to the tag value.
Signature
declare const TaggedClass: <Self = never, Brand = {}>(identifier?: string) => { <Tag extends string, Fields extends Fields>(tag: Tag, fields: Fields, annotations?: Declaration<Self, readonly [TaggedStruct<Tag, Fields>]>): [Self] extends [never] ? "Missing `Self` generic - use `class Self extends Schema.TaggedClass<Self>(...)`" : Class<Self, TaggedStruct<Tag, Fields>, Brand>; <Tag extends string, S extends Struct<Fields>>(tag: Tag, schema: S, annotations?: Declaration<Self, readonly [Struct<{ [K in string | number | symbol]: { readonly _tag: tag<...>; } & S["fields"][K] }>]>): [Self] extends [never] ? "Missing `Self` generic - use `class Self extends Schema.TaggedClass<Self>(...)`" : Class<Self, Struct<{ [K in string | number | symbol]: { readonly _tag: tag<Tag>; } & S["fields"][K] }>, Brand>;}Example
(Defining a tagged class)
import { Schema } from "effect"
class Circle extends Schema.TaggedClass<Circle>()("Circle", { radius: Schema.Number}) {}
const c = new Circle({ radius: 5 })c._tag // => "Circle"c.radius // => 5TaggedError
Defines a schema-backed yieldable error class with an automatically populated
_tag field.
When to use
Use to define typed errors that are schema validated, yielded in Effect.gen,
and matched as tagged union members.
Signature
declare const TaggedError: <Self = never, Brand = {}>(identifier?: string) => { <Tag extends string, Fields extends Fields>(tag: Tag, fields: Fields, annotations?: Declaration<Self, readonly [TaggedStruct<Tag, Fields>]>): [Self] extends [never] ? "Missing `Self` generic - use `class Self extends Schema.TaggedError<Self>(...)`" : Class<Self, TaggedStruct<Tag, Fields>, YieldableError & Brand>; <Tag extends string, S extends Struct<Fields>>(tag: Tag, schema: S, annotations?: Declaration<Self, readonly [Struct<{ [K in string | number | symbol]: { readonly _tag: tag<...>; } & S["fields"][K] }>]>): [Self] extends [never] ? "Missing `Self` generic - use `class Self extends Schema.TaggedError<Self>(...)`" : Class<Self, Struct<{ [K in string | number | symbol]: { readonly _tag: tag<Tag>; } & S["fields"][K] }>, YieldableError & Brand>;}Example
(Defining a tagged error class)
import { Effect, Schema } from "effect"
class NotFound extends Schema.TaggedError<NotFound>()("NotFound", { id: Schema.Number}) {}
const program = Effect.gen(function*() { yield* new NotFound({ id: 42 })})const error = await Effect.runPromise(Effect.flip(program))error._tag // => "NotFound"error.id // => 42TaggedStruct
Creates a struct schema with an automatically populated _tag field.
When to use
Use to define a tagged union case from a literal tag and a set of fields.
Details
When using the make method, the _tag field is optional and will be
added automatically. However, when decoding or encoding, the _tag field
must be present in the input.
Signature
declare function TaggedStruct<Tag extends LiteralValue, Fields extends Fields>(value: Tag, fields: Fields): TaggedStruct<Tag, Fields>Example
(Defining a tagged struct shorthand)
import { Schema } from "effect"
// Defines a struct with a fixed `_tag` fieldconst tagged = Schema.TaggedStruct("A", { a: Schema.String})
// This is the same as writing:const equivalent = Schema.Struct({ _tag: Schema.tag("A"), a: Schema.String})void taggedvoid equivalentExample
(Accessing the literal value of the tag)
import { Schema } from "effect"
const tagged = Schema.TaggedStruct("A", { a: Schema.String})
tagged.fields._tag.schema.literal // => "A"TaggedUnion
Builds a discriminated union from a record of field sets, one per variant.
Each key becomes the _tag literal and the value is passed to TaggedStruct.
The result includes cases, guards, isAnyOf, match, and matchOrElse utilities.
See
- toTaggedUnion to augment an existing union instead
Signature
declare function TaggedUnion<CasesByTag extends Record<string, Fields>>(casesByTag: CasesByTag): TaggedUnion<{ [K in string]: TaggedStruct<K, CasesByTag[K]> }>Example
(Pattern matching a discriminated union)
import { Schema } from "effect"
const Shape = Schema.TaggedUnion({ Circle: { radius: Schema.Number }, Rectangle: { width: Schema.Number, height: Schema.Number }})
// Pattern-match on a decoded valueconst area = Shape.match({ _tag: "Circle", radius: 5 }, { Circle: (c) => Math.PI * c.radius ** 2, Rectangle: (r) => r.width * r.height})Math.round(area * 100) / 100 // => 78.54TemplateLiteral
Creates a schema that validates strings by matching ordered template literal parts.
When to use
Use when the decoded value should remain the matched string and you do not need the individual template parts parsed into a tuple.
Details
Each part can be a literal string, number, or bigint, or a schema whose
encoded type is string, number, or bigint. Checks on string, number,
and bigint schema parts are applied while matching each segment.
See
- TemplateLiteralParser for a schema that also parses matched parts into a tuple.
Signature
declare function TemplateLiteral<Parts extends Parts>(parts: Parts): TemplateLiteral<Parts>Example
(Defining a URL path pattern)
import { Schema } from "effect"
const schema = Schema.TemplateLiteral(["/user/", Schema.Number])Schema.is(schema)("/user/123") // => trueTemplateLiteralParser
Schema for parsing matched template literal strings into typed tuple parts.
When to use
Use to validate a template literal string and decode the matched parts into typed values.
Details
Unlike TemplateLiteral, this schema decodes the matched string into a readonly tuple with one element per schema part. Checks on string, number, and bigint schema parts are applied while matching each segment.
See
- TemplateLiteral for a validation-only version that keeps the string encoded.
Signature
declare function TemplateLiteralParser<Parts extends Parts>(parts: Parts): TemplateLiteralParser<Parts>Example
(Parsing path parameters)
import { Schema } from "effect"
const schema = Schema.TemplateLiteralParser(["/user/", Schema.NumberFromString])Schema.decodeSync(schema)("/user/42") // => ["/user/", 42]toIsoFocus
Returns an identity Iso over the schema's focus (Iso) side.
Signature
declare function toIsoFocus<S extends Constraint>(_: S): Iso<S["Iso"], S["Iso"]>toIsoSource
Returns an identity Iso over the schema's source (Type) side.
Signature
declare function toIsoSource<S extends Constraint>(_: S): Iso<S["Type"], S["Type"]>Defines a fixed-length tuple schema from an array of element schemas.
Signature
declare function Tuple<Elements extends readonly Array<Constraint>>(elements: Elements): Tuple<Elements>Example
(Defining a pair of string and number)
import { Schema } from "effect"
const schema = Schema.Tuple([Schema.String, Schema.Number])
Schema.decodeUnknownSync(schema)(["hello", 42]) // => ["hello", 42]TupleWithRest
Extends a fixed-length tuple schema with a variadic rest segment.
Details
The resulting tuple starts with the fixed elements from schema. The first
schema in rest is the repeatable element schema, and any additional schemas
in rest are required trailing tuple elements after the variadic segment. For
example, [Schema.Boolean, Schema.String] represents zero or more booleans
followed by a final string.
Signature
declare function TupleWithRest<S extends Tuple<Elements>, Rest extends readonly [Constraint, Constraint]>(schema: S, rest: Rest): TupleWithRest<S, Rest>Example
(Defining tuples with rest elements)
import { Schema } from "effect"
// [string, number, ...boolean[]]const schema = Schema.TupleWithRest( Schema.Tuple([Schema.String, Schema.Number]), [Schema.Boolean])
Schema.decodeUnknownSync(schema)(["hello", 1, true, false]) // => ["hello", 1, true, false]UndefinedOr
Creates a union schema of S | undefined.
Signature
declare const UndefinedOr: UndefinedOrLambdaCreates a union schema from an array of member schemas. Members are tested in order; the first match is returned.
Details
Optionally, specify mode:
"anyOf"(default) — matches if any member matches."oneOf"— matches if exactly one member matches.
Signature
declare function Union<Members extends readonly Array<Constraint>>(members: Members, options?: { mode?: "anyOf" | "oneOf";}): Union<Members>Example
(Defining a string or number union)
import { Schema } from "effect"
const schema = Schema.Union([Schema.String, Schema.Number])
Schema.decodeUnknownSync(schema)("hello") // => "hello"Schema.decodeUnknownSync(schema)(42) // => 42UniqueArray
Returns a new array schema that ensures all elements are unique.
Details
The equivalence used to determine uniqueness is the one provided by
Schema.toEquivalence(item).
Signature
declare function UniqueArray<S extends Constraint>(item: S): UniqueArray<S>UniqueSymbol
Creates a schema for a specific symbol. Only that exact symbol satisfies the schema.
See
- Symbol for a schema that accepts any symbol.
Signature
declare function UniqueSymbol<sym extends symbol>(symbol: sym): UniqueSymbol<sym>Example
(Defining a specific symbol)
import { Schema } from "effect"
const mySymbol = Symbol.for("mySymbol")const schema = Schema.UniqueSymbol(mySymbol)Schema.decodeSync(schema)(mySymbol) === mySymbol // => truewithConstructorDefault
Attaches a constructor default value to a schema field.
Details
Constructor defaults are applied only during make*, not during decoding or
encoding. Failures are represented directly as SchemaIssue.Issue values.
Signature
declare function withConstructorDefault<S extends Constraint & WithoutConstructorDefault>(defaultValue: Effect<S["~type.make.in"], Issue>): (schema: S) => withConstructorDefault<S>Example
(Defining an optional field with a static default)
import { Effect, Schema } from "effect"
const MySchema = Schema.Struct({ name: Schema.String.pipe( Schema.optionalKey, Schema.withConstructorDefault(Effect.succeed("anonymous")) )})
MySchema.make({}).name // => "anonymous"withConstructorDefault interface
Type-level representation returned by withConstructorDefault.
Signature
interface withConstructorDefault<S extends Constraint & WithoutConstructorDefault> extends BottomLazy<S["ast"], withConstructorDefault<S>, S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], "with-default", S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: S["Encoded"]; readonly EncodingServices: S["EncodingServices"]; readonly Iso: S["Iso"]; readonly schema: S; readonly Type: S["Type"];}Converting
toCodecArrayFromSingle
Allows array schemas to decode from either an array input or a single value input.
When to use
Use when you need to accept transport formats that may represent a single-item array as a bare value, such as query-string or form-data adapters.
Gotchas
This combinator is intentionally not part of toCodecStringTree; it adds a
decoding convenience rather than a canonical StringTree representation. It
does not parse comma-separated strings.
Signature
declare function toCodecArrayFromSingle<S extends Constraint>(schema: S): toCodecArrayFromSingle<S>toCodecArrayFromSingle interface
Type-level representation returned by toCodecArrayFromSingle.
Signature
interface toCodecArrayFromSingle<S extends Constraint> extends BottomLazy<S["ast"], toCodecArrayFromSingle<S>, S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: S["Encoded"]; readonly EncodingServices: S["EncodingServices"]; readonly Iso: S["Iso"]; readonly Type: S["Type"];}toCodecIso
Derives an isomorphism codec from a schema. The encoded form is the schema's
Iso type — the intermediate representation used for round-tripping.
Details
Annotation links may be asynchronous, may fail, and may use optional services; the consuming parser chooses the execution and failure handling.
Gotchas
Links cannot require services because the returned Codec does not expose
service requirements.
Signature
declare function toCodecIso<S extends Constraint>(schema: S): Codec<S["Type"], S["Iso"]>toCodecJson
Derives a canonical JSON codec from a schema. The encoded form is Json, and
decoding produces the schema's Type.
Details
Derivation does not run transformations. Annotation links may be asynchronous, may fail, and may use optional services; the consuming parser chooses the execution and failure handling. Because hooks do not widen the returned service types, links cannot require services not declared by the input schema.
Gotchas
Declarations without a toCodecJson or toCodec annotation use Json as
their encoded schema. This keeps codec construction total, but encoding or
decoding can still fail when declaration values are not JSON values. A
toCodecJson callback can return undefined when the declaration is already
in canonical JSON form. When derivation adds an artificial transformation,
checks and annotations remain on its source node rather than being copied to
the JSON target. Source checks still run after the transformation.
Signature
declare function toCodecJson<S extends Constraint>(schema: S): toCodecJson<S>toCodecJson interface
Type-level representation returned by toCodecJson.
Signature
interface toCodecJson<S extends Constraint> extends BottomLazy<S["ast"], toCodecJson<S>, S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: Json; readonly EncodingServices: S["EncodingServices"]; readonly Iso: S["Iso"]; readonly schema: S; readonly Type: S["Type"];}toCodecStringTree
Converts a schema to the StringTree canonical codec, where every leaf value becomes a string while preserving the original structure.
Details
Derivation does not run transformations. Annotation links may be asynchronous, may fail, and may use optional services; the consuming parser chooses the execution and failure handling. Links cannot require services not declared by the input schema because hooks do not widen the returned service types.
Gotchas
Declarations must provide a structural toCodecStringTree, toCodecJson, or
toCodec encoding. A callback can return undefined when the declaration is
already in canonical StringTree form.
Signature
declare function toCodecStringTree<S extends Constraint>(schema: S): toCodecStringTree<S>toCodecStringTree interface
Type-level representation returned by toCodecStringTree.
Signature
interface toCodecStringTree<S extends Constraint> extends BottomLazy<S["ast"], toCodecStringTree<S>, ReadonlyArray<Constraint>, S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: StringTree; readonly EncodingServices: S["EncodingServices"]; readonly Iso: S["Iso"]; readonly schema: S; readonly Type: S["Type"];}toDifferJsonPatch
Derives a JSON Patch differ from a codec. Serializes values to JSON (via toCodecJson), computes RFC 6902 JSON Patch operations between old and new values, and can apply patches back to the typed value.
Details
diff encodes both values before computing the patch. patch encodes the old
value, applies the patch to its JSON representation, and decodes the result.
Gotchas
This API runs synchronously, so failing, asynchronous, or service-dependent
transformations can throw. Schema failures use "Schema validation failed"
with a SchemaIssue.Issue in cause; format it with
SchemaIssue.makeFormatterDefault(). Invalid patch operations instead produce
JsonPatch.apply errors.
Signature
declare function toDifferJsonPatch<T>(schema: ConstraintCodec<T, unknown>): Differ<T, JsonPatch>Derives an Iso optic from a schema that isomorphically converts between
the schema's Type and its Iso (intermediate / serialized form).
Details
Reading through the Iso encodes the schema value, while replacing through
it decodes the new focus.
Gotchas
This API runs synchronously, so failing, asynchronous, or service-dependent
transformations can throw. Schema failures use "Schema validation failed"
with a SchemaIssue.Issue in cause; format it with
SchemaIssue.makeFormatterDefault(). Consume toCodecIso with an
effectful parser for asynchronous execution or explicit failure handling.
Signature
declare function toIso<S extends Constraint>(schema: S): Iso<S["Type"], S["Iso"]>toJsonSchemaDocument
Returns a JSON Schema document using draft 2020-12.
When to use
Use when you need a draft-2020-12 description of the canonical JSON form of a runtime schema.
Details
The options parameter controls reference extraction and generation details
such as additional properties and synthesized check descriptions; it does
not change the draft target. The reference policy receives canonical JSON
encoded ASTs. By default, anonymous non-recursive candidates remain inline, while candidates with resolved identifiers
become definitions. Declarations are lowered through their toCodecJson or toCodec
annotation when available before the representation document is compiled.
For schemas whose codec JSON AST can be represented exactly in JSON Schema,
importing the emitted document reconstructs a schema that accepts the same
JSON values. This is a semantic round-trip guarantee; the reconstructed AST
may have a different shape.
Gotchas
JSON Schema generation is best-effort. Some Effect schema semantics cannot
be represented exactly in JSON Schema, and importing an emitted JSON Schema
may produce an equivalent approximation rather than the original schema
shape. Such schemas are outside the exact round-trip subset. When canonical
JSON derivation adds an artificial transformation, checks and annotations on
its source node are not copied to the JSON target, so they do not appear in
the emitted document. Opaque declarations without a structural codec are
represented by an unconstrained JSON Schema. Effect decoding may discard
excess object properties by default; use onExcessProperty: "error" when
comparing validation semantics with an emitted JSON Schema.
See
- SchemaRepresentation.toJsonSchemaDocument for compiling an existing live representation document
Signature
declare function toJsonSchemaDocument(schema: Constraint, options?: ToJsonSchemaOptions): Document<"draft-2020-12">toRepresentation
Derives an intermediate SchemaRepresentation.Document from the encoded
side of a schema.
When to use
Use when you have a Schema and need its live structural representation for inspection, persistence, or compilation.
Details
Use toType before this function to represent the type side instead. The optional reference policy controls which candidates are extracted into the document's reference table. By default, only candidates with a resolved identifier become references; recursive candidates always require one.
See
- SchemaRepresentation.toRepresentation for converting a
SchemaAST.ASTdirectly
Signature
declare function toRepresentation(schema: Constraint, options?: ToRepresentationOptions): DocumenttoStandardJSONSchemaV1
Converts a schema to an experimental Standard JSON Schema V1 representation.
Details
Signature
declare function toStandardJSONSchemaV1<S extends Constraint>(self: S): StandardJSONSchemaV1<S["Encoded"], S["Type"]> & StoStandardSchemaV1
Returns a "Standard Schema" object conforming to the Standard Schema v1 specification.
Details
This function creates a schema whose validate method attempts to decode and
validate the provided input synchronously. If the underlying Schema
includes any asynchronous components (e.g., asynchronous message resolutions
or checks), then validation will necessarily return a Promise instead.
Signature
declare function toStandardSchemaV1<S extends ConstraintDecoder<unknown, never>>(self: S, options?: { readonly checkHook?: CheckHook; readonly leafHook?: LeafHook; readonly parseOptions?: ParseOptions;}): StandardSchemaV1<S["Encoded"], S["Type"]> & SExample
(Creating a standard schema from a regular schema)
import { Schema } from "effect"
// Define custom hook functions for error formattingconst leafHook = (issue: any) => { switch (issue._tag) { case "InvalidType": return "Expected different type" case "InvalidValue": return "Invalid value provided" case "MissingKey": return "Required property missing" case "UnexpectedKey": return "Unexpected property found" case "Forbidden": return "Operation not allowed" case "OneOf": return "Multiple valid options available" default: return "Validation error" }}
// Create a standard schema from a regular schemaconst PersonSchema = Schema.Struct({ name: Schema.NonEmptyString, age: Schema.Finite.check(Schema.isBetween({ minimum: 0, maximum: 150 }))})
const standardSchema = Schema.toStandardSchemaV1(PersonSchema, { leafHook})
// The standard schema can be used with any Standard Schema v1 compatible libraryconst validResult = standardSchema["~standard"].validate({ name: "Alice", age: 30})const invalidResult = standardSchema["~standard"].validate({ name: "", age: 200})
if (validResult instanceof Promise || invalidResult instanceof Promise) { throw new Error("Expected synchronous validation")}if ("value" in validResult) { validResult.value // => { name: "Alice", age: 30 }}invalidResult.issues?.map((issue) => issue.path) // => [["name"], ["age"]]Decoding
decodeEffect
Decodes a typed input (the schema's Encoded type) against a schema,
returning an Effect that succeeds with the decoded value or fails with a
SchemaError.
When to use
Use when you need to decode input already typed as the schema's Encoded
type in an Effect whose failure channel is SchemaError.
Details
For unknown input use decodeUnknownEffect.
Options may be provided either when creating the decoder or when applying it;
application options override creation options.
See
- SchemaParser.decodeEffect for the adapter that fails with
SchemaIssue.Issuedirectly
Signature
declare const decodeEffect: <S extends Constraint>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Encoded"], options?: SchemaAST.ParseOptions) => Effect.Effect<S["Type"], SchemaError, S["DecodingServices"]>decodeExit
Decodes a typed input (the schema's Encoded type) against a schema
synchronously, returning an Exit that is either a Success with the decoded
value or a Failure.
When to use
Use when you need to decode already typed Encoded input into an Exit and
capture schema mismatches as SchemaError.
Details
Only usable with schemas that have no DecodingServices requirement. For
unknown input use decodeUnknownExit.
Options may be provided either when creating the decoder or when applying it;
application options override creation options.
Schema mismatches are represented by a Failure cause containing
SchemaError.
Gotchas
Schema issue fail reasons are wrapped as SchemaError. Defects,
interruptions, and other non-schema reasons remain in the returned Cause,
including when they are mixed with schema issues.
See
- SchemaParser.decodeExit for the adapter whose failure contains
SchemaIssue.Issuedirectly
Signature
declare const decodeExit: <S extends ConstraintDecoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Encoded"], options?: SchemaAST.ParseOptions) => Exit_.Exit<S["Type"], SchemaError>decodeOption
Decodes a typed input (the schema's Encoded type) against a schema,
returning an Option that is Some with the decoded value on success or
None for schema mismatches.
When to use
Use when you already have input typed as the schema's Encoded type and
only need to know whether decoding succeeded.
Details
For unknown input use decodeUnknownOption.
Options may be provided either when creating the decoder or when applying it;
application options override creation options.
Gotchas
Only causes made entirely of schema issues are converted to None. Causes
that contain defects, interruptions, or other non-schema reasons throw
instead.
Signature
declare const decodeOption: <S extends ConstraintDecoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Encoded"], options?: SchemaAST.ParseOptions) => Option_.Option<S["Type"]>decodePromise
Decodes a typed input (the schema's Encoded type) against a schema,
returning a Promise that resolves with the decoded value or rejects with a
SchemaError for schema mismatches.
When to use
Use when you already have input typed as the schema's Encoded type and
need decoding to return a JavaScript Promise that rejects with
SchemaError for schema mismatches.
Details
For unknown input use decodeUnknownPromise.
Options may be provided either when creating the decoder or when applying it;
application options override creation options.
Gotchas
Non-schema failures may reject with a runtime failure instead of
SchemaError.
See
- SchemaParser.decodePromise for the adapter that rejects with an
Errorwhose cause isSchemaIssue.Issue
Signature
declare const decodePromise: <S extends ConstraintDecoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Encoded"], options?: SchemaAST.ParseOptions) => Promise<S["Type"]>decodeResult
Decodes a typed input (the schema's Encoded type) against a schema,
returning a Result that succeeds with the decoded value or fails with a
SchemaError for schema mismatches.
When to use
Use when you already have input typed as the schema's Encoded type and want
schema mismatches returned as Result.fail with SchemaError.
Details
For unknown input use decodeUnknownResult.
Options may be provided either when creating the decoder or when applying it;
application options override creation options.
Schema mismatches are returned as Result.fail with SchemaError.
Gotchas
Only causes made entirely of schema issues are returned as Result.fail.
Causes that contain defects, interruptions, or other non-schema reasons throw
instead.
See
- SchemaParser.decodeResult for the adapter that fails with
SchemaIssue.Issuedirectly
Signature
declare const decodeResult: <S extends ConstraintDecoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Encoded"], options?: SchemaAST.ParseOptions) => Result_.Result<S["Type"], SchemaError>decodeSync
Decodes a typed input (the schema's Encoded type) against a schema
synchronously, returning the decoded value or throwing a SchemaError
for schema mismatches.
When to use
Use when you already have input typed as the schema's Encoded type and
want schema mismatches to throw SchemaError synchronously.
Details
For unknown input use decodeUnknownSync.
Only service-free schemas can be decoded synchronously. Options may be
provided either when creating the decoder or when applying it; application
options override creation options.
Gotchas
Non-schema failures may throw a runtime failure instead of SchemaError.
See
- SchemaParser.decodeSync for the adapter that throws an
Errorwhose cause isSchemaIssue.Issue
Signature
declare const decodeSync: <S extends ConstraintDecoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Encoded"], options?: SchemaAST.ParseOptions) => S["Type"]decodeUnknownEffect
Decodes an unknown input against a schema, returning an Effect that
succeeds with the decoded value or fails with a SchemaError.
When to use
Use when you need to decode unknown input in an Effect whose failure
channel is SchemaError.
Details
Prefer decodeEffect when the input is already typed as the schema's
Encoded type.
Options may be provided either when creating the decoder or when applying it;
application options override creation options.
See
- SchemaParser.decodeUnknownEffect for the adapter that fails with
SchemaIssue.Issuedirectly
Signature
declare function decodeUnknownEffect<S extends Constraint>(schema: S, options?: ParseOptions): (input: unknown, options?: ParseOptions) => Effect<S["Type"], SchemaError, S["DecodingServices"]>decodeUnknownExit
Decodes an unknown input against a schema synchronously, returning an
Exit that is either a Success with the decoded value or a Failure.
When to use
Use when you need to decode unknown input into an Exit and capture schema
mismatches as SchemaError.
Details
Only usable with schemas that have no DecodingServices requirement. Prefer
decodeExit when the input is already typed as the schema's Encoded
type.
Options may be provided either when creating the decoder or when applying it;
application options override creation options.
Schema mismatches are represented by a Failure cause containing
SchemaError.
Gotchas
Schema issue fail reasons are wrapped as SchemaError. Defects,
interruptions, and other non-schema reasons remain in the returned Cause,
including when they are mixed with schema issues.
See
- SchemaParser.decodeUnknownExit for the adapter whose failure contains
SchemaIssue.Issuedirectly
Signature
declare function decodeUnknownExit<S extends ConstraintDecoder<unknown, never>>(schema: S, options?: ParseOptions): (input: unknown, options?: ParseOptions) => Exit<S["Type"], SchemaError>decodeUnknownOption
Decodes an unknown input against a schema, returning an Option that is
Some with the decoded value on success or None for schema mismatches.
When to use
Use when you do not know the input type statically and only need to know whether decoding succeeded.
Details
Prefer this over decodeUnknownExit or decodeUnknownEffect
when you don't need error details. For input already typed as the schema's
Encoded type use decodeOption.
Options may be provided either when creating the decoder or when applying it;
application options override creation options.
Gotchas
Only causes made entirely of schema issues are converted to None. Causes
that contain defects, interruptions, or other non-schema reasons throw
instead.
Signature
declare const decodeUnknownOption: <S extends ConstraintDecoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: unknown, options?: SchemaAST.ParseOptions) => Option_.Option<S["Type"]>decodeUnknownPromise
Decodes an unknown input against a schema, returning a Promise that
resolves with the decoded value or rejects with a SchemaError for
schema mismatches.
When to use
Use when you need decoding of unknown input to return a JavaScript Promise
that rejects with SchemaError for schema mismatches.
Details
For input already typed as the schema's Encoded type use
decodePromise.
Options may be provided either when creating the decoder or when applying it;
application options override creation options.
Gotchas
Non-schema failures may reject with a runtime failure instead of
SchemaError.
See
- SchemaParser.decodeUnknownPromise for the adapter that rejects with an
Errorwhose cause isSchemaIssue.Issue
Signature
declare function decodeUnknownPromise<S extends ConstraintDecoder<unknown, never>>(schema: S, options?: ParseOptions): (input: unknown, options?: ParseOptions) => Promise<S["Type"]>decodeUnknownResult
Decodes an unknown input against a schema, returning a Result that
succeeds with the decoded value or fails with a SchemaError for schema
mismatches.
When to use
Use when you do not know the input type statically and want schema mismatches
returned as Result.fail with SchemaError.
Details
For input already typed as the schema's Encoded type use
decodeResult.
Options may be provided either when creating the decoder or when applying it;
application options override creation options.
Schema mismatches are returned as Result.fail with SchemaError.
Gotchas
Only causes made entirely of schema issues are returned as Result.fail.
Causes that contain defects, interruptions, or other non-schema reasons throw
instead.
See
- SchemaParser.decodeUnknownResult for the adapter that fails with
SchemaIssue.Issuedirectly
Signature
declare function decodeUnknownResult<S extends ConstraintDecoder<unknown, never>>(schema: S, options?: ParseOptions): (input: unknown, options?: ParseOptions) => Result<S["Type"], SchemaError>decodeUnknownSync
Decodes an unknown input against a schema synchronously, returning the
decoded value or throwing a SchemaError for schema mismatches.
When to use
Use when you need to validate unknown data at a synchronous boundary and want
schema mismatches to throw SchemaError.
Details
For input already typed as the schema's Encoded type use decodeSync.
Only service-free schemas can be decoded synchronously. For alternatives that
do not throw on schema mismatches, see decodeUnknownOption,
decodeUnknownExit, or decodeUnknownEffect. Options may be provided either
when creating the decoder or when applying it; application options override
creation options.
Gotchas
Non-schema failures may throw a runtime failure instead of SchemaError.
See
- SchemaParser.decodeUnknownSync for the adapter that throws an
Errorwhose cause isSchemaIssue.Issue
Signature
declare function decodeUnknownSync<S extends ConstraintDecoder<unknown, never>>(schema: S, options?: ParseOptions): (input: unknown, options?: ParseOptions) => S["Type"]Example
(Decoding with a transformation schema)
import { Schema } from "effect"
const NumberFromString = Schema.NumberFromString
Schema.decodeUnknownSync(NumberFromString)("42") // => 42fromFormData
Schema for decoding FormData through a bracket-notation tree.
When to use
Use to decode browser or multipart form data into a structured schema value.
Details
The decoding process has two steps:
- Parse
FormDatainto a nested tree record. - Decode the parsed value with the given schema.
You can express nested values using bracket notation.
If you want to decode string fields into non-string primitive values, use
Schema.toCodecStringTree.
Signature
declare function fromFormData<S extends Constraint>(schema: S): fromFormData<S>Example
(Decoding a flat structure)
import { Schema } from "effect"
const schema = Schema.fromFormData( Schema.Struct({ a: Schema.String }))
const formData = new FormData()formData.append("a", "1")formData.append("b", "2")
Schema.decodeUnknownSync(schema)(formData) // => { a: "1" }Example
(Decoding nested fields)
import { Schema } from "effect"
const schema = Schema.fromFormData( Schema.Struct({ a: Schema.String, b: Schema.Struct({ c: Schema.String, d: Schema.String }) }))
const formData = new FormData()formData.append("a", "1")formData.append("b[c]", "2")formData.append("b[d]", "3")
Schema.decodeUnknownSync(schema)(formData) // => { a: "1", b: { c: "2", d: "3" } }Example
(Parsing non-string values)
import { Schema } from "effect"
const schema = Schema.fromFormData( Schema.toCodecStringTree( Schema.Struct({ a: Schema.Int }) ))
const formData = new FormData()formData.append("a", "1")
Schema.decodeUnknownSync(schema)(formData) // => { a: 1 }fromURLSearchParams
Schema for decoding URLSearchParams through a bracket-notation tree.
When to use
Use to decode query parameters into a structured schema value.
Details
The decoding process has two steps:
- Parse
URLSearchParamsinto a nested tree record. - Decode the parsed value with the given schema.
You can express nested values using bracket notation.
If you want to decode values that are not strings, use
Schema.toCodecStringTree. This serializer preserves values such as
numbers when compatible with the schema.
Signature
declare function fromURLSearchParams<S extends Constraint>(schema: S): fromURLSearchParams<S>Example
(Decoding a flat structure)
import { Schema } from "effect"
const schema = Schema.fromURLSearchParams( Schema.Struct({ a: Schema.String }))
const urlSearchParams = new URLSearchParams("a=1&b=2")
Schema.decodeUnknownSync(schema)(urlSearchParams) // => { a: "1" }Example
(Decoding nested fields)
import { Schema } from "effect"
const schema = Schema.fromURLSearchParams( Schema.Struct({ a: Schema.String, b: Schema.Struct({ c: Schema.String, d: Schema.String }) }))
const urlSearchParams = new URLSearchParams("a=1&b[c]=2&b[d]=3")
Schema.decodeUnknownSync(schema)(urlSearchParams) // => { a: "1", b: { c: "2", d: "3" } }Example
(Parsing non-string values)
import { Schema } from "effect"
const schema = Schema.fromURLSearchParams( Schema.toCodecStringTree( Schema.Struct({ a: Schema.Int }) ))
const urlSearchParams = new URLSearchParams("a=1&b=2")
Schema.decodeUnknownSync(schema)(urlSearchParams) // => { a: 1 }middlewareDecoding
Intercepts the decoding pipeline of a schema.
Details
The provided function receives the current decoding Effect and ParseOptions,
and returns a new Effect — potentially adding service requirements (RD),
recovering from errors, or augmenting the result.
See
- catchDecoding for a simpler error-recovery variant
Signature
declare function middlewareDecoding<S extends Constraint, RD>(decode: (effect: Effect<Option<S["Type"]>, Issue, S["DecodingServices"]>, options: ParseOptions) => Effect<Option<S["Type"]>, Issue, RD>): (schema: S) => middlewareDecoding<S, RD>Example
(Logging decode failures)
import { Effect, Schema } from "effect"
const events: Array<string> = []const Logged = Schema.String.pipe( Schema.middlewareDecoding((effect) => Effect.tapError(effect, () => Effect.sync(() => events.push("decode failed"))) ))Effect.runSync(Effect.result(Schema.decodeUnknownEffect(Logged)(42)))events // => ["decode failed"]middlewareDecoding interface
Type-level representation returned by middlewareDecoding.
Signature
interface middlewareDecoding<S extends Constraint, RD> extends BottomLazy<S["ast"], middlewareDecoding<S, RD>, S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: RD; readonly Encoded: S["Encoded"]; readonly EncodingServices: S["EncodingServices"]; readonly Iso: S["Iso"]; readonly schema: S; readonly Type: S["Type"];}withDecodingDefault
Wraps the Encoded side with optional (key absent or undefined)
and provides a default Encoded value when the field is missing or
undefined during decoding.
When to use
Use when the default is expressed in the encoded representation, before the field's decoding transformation runs.
Details
The default value is specified in terms of the Encoded type (before any
decoding transformations).
Options:
encodingStrategy:"passthrough"(default): include the value in the encoded output."omit": omit the key from the encoded output.
See
- withDecodingDefaultKey for the key-level variant (key absent only, not
undefined) - withDecodingDefaultType for the variant where the default is a
Typevalue
Signature
declare function withDecodingDefault<S extends Constraint, R = never>(defaultValue: Effect<S["Encoded"], SchemaError, R>, options?: DecodingDefaultOptions): (self: S) => withDecodingDefault<S, R>Example
(Providing a default for an optional field value)
import { Effect, Schema } from "effect"
const MySchema = Schema.Struct({ name: Schema.String.pipe(Schema.optional, Schema.withDecodingDefault(Effect.succeed("anonymous")))})
Schema.decodeUnknownSync(MySchema)({ name: undefined }).name // => "anonymous"withDecodingDefault interface
Type-level representation returned by withDecodingDefault.
Signature
interface withDecodingDefault<S extends Constraint, R = never> extends decodeTo<S, optional<toEncoded<S>>, R> { constructor(_: never); readonly Rebuild: withDecodingDefault<S, R>;}withDecodingDefaultKey
Makes a struct key optional on the Encoded side and provides a default
Encoded value when the key is missing during decoding.
Details
The key uses optionalKey on the encoded side, so it may be absent from the
input object but not undefined. The default value is specified in terms
of the Encoded type (before any decoding transformations).
Options:
encodingStrategy:"passthrough"(default): include the value in the encoded output."omit": omit the key from the encoded output.
See
- withDecodingDefault for the value-level variant (key absent or
undefined) - withDecodingDefaultTypeKey for the variant where the default is a
Typevalue
Signature
declare function withDecodingDefaultKey<S extends Constraint, R = never>(defaultValue: Effect<S["Encoded"], SchemaError, R>, options?: DecodingDefaultOptions): (self: S) => withDecodingDefaultKey<S, R>Example
(Providing a default for a missing struct key)
import { Effect, Schema } from "effect"
const MySchema = Schema.Struct({ name: Schema.String.pipe(Schema.withDecodingDefaultKey(Effect.succeed("anonymous")))})
Schema.decodeUnknownSync(MySchema)({}).name // => "anonymous"withDecodingDefaultKey interface
Type-level representation returned by withDecodingDefaultKey.
Signature
interface withDecodingDefaultKey<S extends Constraint, R = never> extends decodeTo<S, optionalKey<toEncoded<S>>, R> { constructor(_: never); readonly Rebuild: withDecodingDefaultKey<S, R>;}withDecodingDefaultType
Wraps the Encoded side with optional (key absent or undefined)
and provides a default Type value when the field is missing or
undefined during decoding.
When to use
Use when the default is already in the decoded representation and should not pass through the field's decoding transformation.
Details
Unlike withDecodingDefault, the default value is specified in terms
of the Type (decoded) representation, so it does not need to go through
the decoding transformation.
Options:
encodingStrategy:"passthrough"(default): include the value in the encoded output."omit": omit the key from the encoded output.
See
- withDecodingDefault for the variant where the default is an
Encodedvalue - withDecodingDefaultTypeKey for the key-level variant
Signature
declare function withDecodingDefaultType<S extends Constraint, R = never>(defaultValue: Effect<S["Type"], SchemaError, R>, options?: DecodingDefaultOptions): (self: S) => withDecodingDefaultType<S, R>withDecodingDefaultType interface
Type-level representation returned by withDecodingDefaultType.
Signature
interface withDecodingDefaultType<S extends Constraint, R = never> extends decodeTo<withDecodingDefault<toType<S>, R>, optional<S>> { constructor(_: never); readonly Rebuild: withDecodingDefaultType<S, R>;}withDecodingDefaultTypeKey
Makes a struct key optional on the Encoded side (optionalKey, so the
key may be absent but not undefined) and provides a default Type
value when the key is missing during decoding.
Details
Unlike withDecodingDefaultKey, the default value is specified in
terms of the Type (decoded) representation, so it does not need to go
through the decoding transformation.
Options:
encodingStrategy:"passthrough"(default): include the value in the encoded output."omit": omit the key from the encoded output.
See
- withDecodingDefaultKey for the variant where the default is an
Encodedvalue - withDecodingDefaultType for the value-level variant
Signature
declare function withDecodingDefaultTypeKey<S extends Constraint, R = never>(defaultValue: Effect<S["Type"], SchemaError, R>, options?: DecodingDefaultOptions): (self: S) => withDecodingDefaultTypeKey<S, R>withDecodingDefaultTypeKey interface
Type-level representation returned by withDecodingDefaultTypeKey.
Signature
interface withDecodingDefaultTypeKey<S extends Constraint, R = never> extends decodeTo<withDecodingDefaultKey<toType<S>, R>, optionalKey<S>> { constructor(_: never); readonly Rebuild: withDecodingDefaultTypeKey<S, R>;}Encoding
encodeEffect
Encodes a typed input (the schema's Type) against a schema, returning an
Effect that succeeds with the encoded value or fails with a
SchemaError.
When to use
Use when you need to encode input already typed as the schema's Type in
an Effect whose failure channel is SchemaError.
Details
For unknown input use encodeUnknownEffect.
Options may be provided either when creating the encoder or when applying it;
application options override creation options.
See
- SchemaParser.encodeEffect for the adapter that fails with
SchemaIssue.Issuedirectly
Signature
declare const encodeEffect: <S extends Constraint>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Type"], options?: SchemaAST.ParseOptions) => Effect.Effect<S["Encoded"], SchemaError, S["EncodingServices"]>encodeExit
Encodes a typed input (the schema's Type) against a schema synchronously,
returning an Exit that is either a Success with the encoded value or a
Failure.
When to use
Use when you need to encode already typed schema values into an Exit and
capture schema mismatches as SchemaError.
Details
Only usable with schemas that have no EncodingServices requirement. For
unknown input use encodeUnknownExit.
Options may be provided either when creating the encoder or when applying it;
application options override creation options.
Schema mismatches are represented by a Failure cause containing
SchemaError.
Gotchas
Schema issue fail reasons are wrapped as SchemaError. Defects,
interruptions, and other non-schema reasons remain in the returned Cause,
including when they are mixed with schema issues.
See
- SchemaParser.encodeExit for the adapter whose failure contains
SchemaIssue.Issuedirectly
Signature
declare const encodeExit: <S extends ConstraintEncoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Type"], options?: SchemaAST.ParseOptions) => Exit_.Exit<S["Encoded"], SchemaError>encodeOption
Encodes a typed input (the schema's Type) against a schema, returning an
Option that is Some with the encoded value on success or None for schema
mismatches.
When to use
Use when you already have a value typed as the schema's Type and only need
to know whether encoding succeeded.
Details
For unknown input use encodeUnknownOption.
Options may be provided either when creating the encoder or when applying it;
application options override creation options.
Gotchas
Only causes made entirely of schema issues are converted to None. Causes
that contain defects, interruptions, or other non-schema reasons throw
instead.
Signature
declare const encodeOption: <S extends ConstraintEncoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Type"], options?: SchemaAST.ParseOptions) => Option_.Option<S["Encoded"]>encodePromise
Encodes a typed input (the schema's Type) against a schema, returning a
Promise that resolves with the encoded value or rejects with a
SchemaError for schema mismatches.
When to use
Use when you already have a value typed as the schema's Type and need
encoding to return a JavaScript Promise that rejects with SchemaError for
schema mismatches.
Details
For unknown input use encodeUnknownPromise.
Options may be provided either when creating the encoder or when applying it;
application options override creation options.
Gotchas
Non-schema failures may reject with a runtime failure instead of
SchemaError.
See
- SchemaParser.encodePromise for the adapter that rejects with an
Errorwhose cause isSchemaIssue.Issue
Signature
declare const encodePromise: <S extends ConstraintEncoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Type"], options?: SchemaAST.ParseOptions) => Promise<S["Encoded"]>encodeResult
Encodes a typed input (the schema's Type) against a schema, returning a
Result that succeeds with the encoded value or fails with a
SchemaError for schema mismatches.
When to use
Use when you already have a value typed as the schema's Type and want schema
mismatches returned as Result.fail with SchemaError.
Details
For unknown input use encodeUnknownResult.
Options may be provided either when creating the encoder or when applying it;
application options override creation options.
Schema mismatches are returned as Result.fail with SchemaError.
Gotchas
Only causes made entirely of schema issues are returned as Result.fail.
Causes that contain defects, interruptions, or other non-schema reasons throw
instead.
See
- SchemaParser.encodeResult for the adapter that fails with
SchemaIssue.Issuedirectly
Signature
declare const encodeResult: <S extends ConstraintEncoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Type"], options?: SchemaAST.ParseOptions) => Result_.Result<S["Encoded"], SchemaError>encodeSync
Encodes a typed input (the schema's Type) against a schema synchronously,
throwing a SchemaError for schema mismatches.
When to use
Use when you already have a value typed as the schema's Type and want
schema mismatches to throw SchemaError synchronously.
Details
For unknown input use encodeUnknownSync.
Options may be provided either when creating the encoder or when applying it;
application options override creation options.
Gotchas
Non-schema failures may throw a runtime failure instead of SchemaError.
See
- SchemaParser.encodeSync for the adapter that throws an
Errorwhose cause isSchemaIssue.Issue
Signature
declare const encodeSync: <S extends ConstraintEncoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: S["Type"], options?: SchemaAST.ParseOptions) => S["Encoded"]encodeUnknownEffect
Encodes an unknown input against a schema, returning an Effect that
succeeds with the encoded value or fails with a SchemaError.
When to use
Use when you need to encode unknown input in an Effect whose failure
channel is SchemaError.
Details
Prefer encodeEffect when the value is already typed as the schema's
Type.
Options may be provided either when creating the encoder or when applying it;
application options override creation options.
See
- SchemaParser.encodeUnknownEffect for the adapter that fails with
SchemaIssue.Issuedirectly
Signature
declare function encodeUnknownEffect<S extends Constraint>(schema: S, options?: ParseOptions): (input: unknown, options?: ParseOptions) => Effect<S["Encoded"], SchemaError, S["EncodingServices"]>Example
(Encoding a value to a string)
import { Effect, Schema } from "effect"
const NumberFromString = Schema.NumberFromString
await Effect.runPromise(Schema.encodeUnknownEffect(NumberFromString)(42)) // => "42"encodeUnknownExit
Encodes an unknown input against a schema synchronously, returning an
Exit that is either a Success with the encoded value or a Failure.
When to use
Use when you need to encode unknown input into an Exit and capture schema
mismatches as SchemaError.
Details
Only usable with schemas that have no EncodingServices requirement. Prefer
encodeExit when the value is already typed as the schema's Type.
Options may be provided either when creating the encoder or when applying it;
application options override creation options.
Schema mismatches are represented by a Failure cause containing
SchemaError.
Gotchas
Schema issue fail reasons are wrapped as SchemaError. Defects,
interruptions, and other non-schema reasons remain in the returned Cause,
including when they are mixed with schema issues.
See
- SchemaParser.encodeUnknownExit for the adapter whose failure contains
SchemaIssue.Issuedirectly
Signature
declare function encodeUnknownExit<S extends ConstraintEncoder<unknown, never>>(schema: S, options?: ParseOptions): (input: unknown, options?: ParseOptions) => Exit<S["Encoded"], SchemaError>encodeUnknownOption
Encodes an unknown input against a schema, returning an Option that is
Some with the encoded value on success or None for schema mismatches.
When to use
Use when you do not know the input type statically and only need to know whether encoding succeeded.
Details
Prefer this over encodeUnknownExit or encodeUnknownEffect
when you don't need error details. For values already typed as the schema's
Type use encodeOption.
Options may be provided either when creating the encoder or when applying it;
application options override creation options.
Gotchas
Only causes made entirely of schema issues are converted to None. Causes
that contain defects, interruptions, or other non-schema reasons throw
instead.
Signature
declare const encodeUnknownOption: <S extends ConstraintEncoder<unknown>>(schema: S, options?: SchemaAST.ParseOptions) => (input: unknown, options?: SchemaAST.ParseOptions) => Option_.Option<S["Encoded"]>encodeUnknownPromise
Encodes an unknown input against a schema, returning a Promise that
resolves with the encoded value or rejects with a SchemaError for
schema mismatches.
When to use
Use when you need encoding of unknown input to return a JavaScript Promise
that rejects with SchemaError for schema mismatches.
Details
For values already typed as the schema's Type use encodePromise.
Options may be provided either when creating the encoder or when applying it;
application options override creation options.
Gotchas
Non-schema failures may reject with a runtime failure instead of
SchemaError.
See
- SchemaParser.encodeUnknownPromise for the adapter that rejects with an
Errorwhose cause isSchemaIssue.Issue
Signature
declare function encodeUnknownPromise<S extends ConstraintEncoder<unknown, never>>(schema: S, options?: ParseOptions): (input: unknown, options?: ParseOptions) => Promise<S["Encoded"]>encodeUnknownResult
Encodes an unknown input against a schema, returning a Result that
succeeds with the encoded value or fails with a SchemaError for schema
mismatches.
When to use
Use when you do not know the input type statically and want schema mismatches
returned as Result.fail with SchemaError.
Details
For values already typed as the schema's Type use encodeResult.
Options may be provided either when creating the encoder or when applying it;
application options override creation options.
Schema mismatches are returned as Result.fail with SchemaError.
Gotchas
Only causes made entirely of schema issues are returned as Result.fail.
Causes that contain defects, interruptions, or other non-schema reasons throw
instead.
See
- SchemaParser.encodeUnknownResult for the adapter that fails with
SchemaIssue.Issuedirectly
Signature
declare function encodeUnknownResult<S extends ConstraintEncoder<unknown, never>>(schema: S, options?: ParseOptions): (input: unknown, options?: ParseOptions) => Result<S["Encoded"], SchemaError>encodeUnknownSync
Encodes an unknown input against a schema synchronously, throwing a
SchemaError for schema mismatches.
When to use
Use when you need to serialize unknown data at a synchronous boundary and
want schema mismatches to throw SchemaError.
Details
For alternatives that do not throw on schema mismatches, see
encodeUnknownOption, encodeUnknownExit, or
encodeUnknownEffect. For values already typed as the schema's Type
use encodeSync. Options may be provided either when creating the
encoder or when applying it; application options override creation options.
Gotchas
Non-schema failures may throw a runtime failure instead of SchemaError.
See
- SchemaParser.encodeUnknownSync for the adapter that throws an
Errorwhose cause isSchemaIssue.Issue
Signature
declare function encodeUnknownSync<S extends ConstraintEncoder<unknown, never>>(schema: S, options?: ParseOptions): (input: unknown, options?: ParseOptions) => S["Encoded"]middlewareEncoding
Intercepts the encoding pipeline of a schema.
Details
The provided function receives the current encoding Effect and ParseOptions,
and returns a new Effect — potentially adding service requirements (RE),
recovering from errors, or augmenting the result.
See
- catchEncoding for a simpler error-recovery variant
Signature
declare function middlewareEncoding<S extends Constraint, RE>(encode: (effect: Effect<Option<S["Encoded"]>, Issue, S["EncodingServices"]>, options: ParseOptions) => Effect<Option<S["Encoded"]>, Issue, RE>): (schema: S) => middlewareEncoding<S, RE>Example
(Logging encode failures)
import { Effect, Schema } from "effect"
const events: Array<string> = []const Logged = Schema.String.pipe( Schema.middlewareEncoding((effect) => Effect.tapError(effect, () => Effect.sync(() => events.push("encode failed"))) ))Effect.runSync(Effect.result(Schema.encodeUnknownEffect(Logged)(42)))events // => ["encode failed"]middlewareEncoding interface
Type-level representation returned by middlewareEncoding.
Signature
interface middlewareEncoding<S extends Constraint, RE> extends BottomLazy<S["ast"], middlewareEncoding<S, RE>, S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: S["Encoded"]; readonly EncodingServices: RE; readonly Iso: S["Iso"]; readonly schema: S; readonly Type: S["Type"];}toEncoderXml
Derives an XML encoder from a codec.
Details
The returned function encodes a value through toCodecStringTree and returns
an Effect that succeeds with the XML string or fails with SchemaError if
codec encoding fails.
Signature
declare function toEncoderXml<T, RE>(codec: ConstraintCodec<T, unknown, unknown, RE>, options?: XmlEncoderOptions): (t: T) => Effect<string, SchemaError, RE>Error Handling
catchDecoding
Recovers from a decoding error by providing a fallback value.
Details
The handler receives the Issue and returns an Effect that either
succeeds with a fallback value or re-fails with a (possibly different) issue.
See
- catchDecodingWithContext to add service requirements to the handler
Signature
declare function catchDecoding<S extends Constraint>(f: (issue: Issue) => Effect<Option<S["Type"]>, Issue>): (self: S) => middlewareDecoding<S, S["DecodingServices"]>Example
(Returning a default on decode failure)
import { Effect, Option, Schema } from "effect"
const schema = Schema.Number.pipe( Schema.catchDecoding((_issue) => Effect.succeed(Option.some(0))))Effect.runSync(Schema.decodeUnknownEffect(schema)("invalid")) // => 0catchDecodingWithContext
Recovers from a decoding error with a handler that may require Effect services.
When to use
Use when you need decoding fallback logic to require services from the Effect context.
Details
The handler receives the Issue and returns an Effect that either succeeds
with a fallback value or re-fails with a (possibly different) issue. The
handler's services are added to the schema's decoding services.
See
- catchDecoding for recovery handlers that do not require services
- middlewareDecoding for intercepting or replacing the full decoding pipeline
Signature
declare function catchDecodingWithContext<S extends Constraint, R = never>(f: (issue: Issue) => Effect<Option<S["Type"]>, Issue, R>): (self: S) => middlewareDecoding<S, R | S["DecodingServices"]>catchEncoding
Recovers from an encoding error by providing a fallback value.
Details
The handler receives the Issue and returns an Effect that either
succeeds with a fallback value or re-fails with a (possibly different) issue.
See
- catchEncodingWithContext to add service requirements to the handler
Signature
declare function catchEncoding<S extends Constraint>(f: (issue: Issue) => Effect<Option<S["Encoded"]>, Issue>): (self: S) => middlewareEncoding<S, S["EncodingServices"]>catchEncodingWithContext
Recovers from an encoding error with a handler that may require Effect services.
When to use
Use when you need encoding fallback logic to require services from the Effect context.
Details
The handler receives the Issue and returns an Effect that either succeeds
with a fallback encoded value or re-fails with a (possibly different) issue.
The handler's services are added to the schema's encoding services.
See
- catchEncoding for recovery handlers that do not require services
- middlewareEncoding for intercepting or replacing the full encoding pipeline
Signature
declare function catchEncodingWithContext<S extends Constraint, R = never>(f: (issue: Issue) => Effect<Option<S["Encoded"]>, Issue, R>): (self: S) => middlewareEncoding<S, R | S["EncodingServices"]>Errors
SchemaError
Error thrown or returned when schema decoding or encoding fails.
Details
The issue field contains a structured SchemaIssue.Issue tree describing
every validation failure, including the path to the problematic value and
the expected type or constraint. The message field renders the issue tree
with the default formatter.
Gotchas
Parsing with reportInput: true adds an enumerable input field to
value-bearing issues. Built-in messages may include reported input, and
custom annotations or messages are not sanitized.
See
- isSchemaError for narrowing unknown values
Signature
declare class SchemaError extends YieldableError<this> & { readonly _tag: "SchemaError";} & Readonly<{ readonly issue: Issue;}> { constructor(issue: Issue); readonly "~effect/SchemaError/SchemaError": "~effect/SchemaError/SchemaError"; message: string; toString(): string;}Example
(Inspecting a SchemaError)
import { Result, Schema } from "effect"
const result = Schema.decodeUnknownResult(Schema.Number)("not a number")const message = Result.isFailure(result) ? result.failure.message : ""message // => "Expected number"Filtering
Attaches one or more filter checks to a schema without changing the TypeScript type.
Signature
declare function check<S extends Top>(...checks: readonly [Check<S["Type"]>, Check<S["Type"]>]): (self: S) => S["Rebuild"]Example
(Adding checks to a schema)
import { Schema } from "effect"
const AgeSchema = Schema.Finite.pipe( Schema.check(Schema.isGreaterThanOrEqualTo(0), Schema.isLessThanOrEqualTo(120)))Schema.is(AgeSchema)(42) // => trueSchema.is(AgeSchema)(121) // => falseNarrows the TypeScript type of a schema's output via a type guard predicate, attaching the guard as a runtime filter check.
Details
The annotations parameter annotates the filter created by the refinement.
With the default formatter, failed refinements use message first,
expected second, and <filter> when neither is provided. identifier
names type-level failures before the refinement runs; it does not name the
failed refinement itself.
Signature
declare function refine<S extends Constraint, T extends unknown>(refinement: (value: S["Type"]) => value is T, annotations?: Filter): (schema: S) => refine<T, S>Type-level representation returned by refine.
Signature
interface refine<T extends S["Type"], S extends Constraint> extends BottomLazy<S["ast"], refine<T, S>, S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": T; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: S["Encoded"]; readonly EncodingServices: S["EncodingServices"]; readonly Iso: T; readonly schema: S; readonly Type: T;}Formatting
overrideToFormatter
Attaches a custom formatter used by toFormatter.
Details
Use this when the formatter derived from the schema structure is not suitable.
The annotation is applied through this helper because adding it directly to
Annotations.Bottom would make schemas invariant.
Signature
declare function overrideToFormatter<S extends Top>(toFormatter: () => Formatter<S["Type"]>): (self: S) => S["Rebuild"]toFormatter
Derives a string formatter function from a schema. The formatter converts a value to its human-readable string representation, recursing into structs, arrays, and unions.
Details
The optional onBefore hook lets you intercept specific AST nodes before
the default formatting logic runs.
Signature
declare function toFormatter<S extends Constraint>(schema: S, options?: { readonly onBefore?: (ast: AST, recur: (ast: AST) => Formatter<any>) => Formatter<any, string> | undefined;}): Formatter<S["Type"]>Generators
toArbitrary
Returns an Arbitrary factory derived from a schema. The generated
values satisfy the schema and use its decoded Type.
When to use
Use when you need a fast-check generator for values accepted by a schema.
Details
Constraints refine base generators; candidates add weighted sources while filters still validate every value. Recursive schemas use terminal branches and fail when no finite terminal path exists. The result is memoized so repeated calls with the same schema are cheap.
Signature
declare function toArbitrary<S extends Constraint>(schema: S): Arbitrary<S["Type"]>Example
(Generating arbitrary values)
import { Schema } from "effect"import * as FastCheck from "fast-check"
const makePersonArbitrary = Schema.toArbitrary( Schema.Struct({ name: Schema.String, age: Schema.Number }))
const PersonArbitrary = makePersonArbitrary(FastCheck)FastCheck.sample(PersonArbitrary, 1)Getters
resolveAnnotations
Resolves the typed annotations from a schema. The term "resolve" (rather than "get") reflects the lookup strategy: if the schema has checks, the annotations are taken from the last check; otherwise they are taken from the base schema instance.
Signature
declare function resolveAnnotations<S extends Constraint>(schema: S): Bottom<S["Type"], S["~type.parameters"]> | undefinedresolveAnnotationsKey
Resolves the context (key-level) annotations from a schema. Context
annotations are those attached via annotateKey and live on the AST's
context rather than on the schema node itself.
Signature
declare function resolveAnnotationsKey<S extends Constraint>(schema: S): Key<S["Type"]> | undefinedGuards
Creates an assertion function that throws an error if the input does not match the schema.
When to use
Use to validate unknown input at runtime while narrowing the value with a TypeScript assertion signature.
Details
The input is narrowed if the assertion succeeds. If schema validation fails,
the assertion throws an Error whose cause is SchemaIssue.Issue.
Schema validation failures use the generic message "Schema validation failed".
Format the cause explicitly with SchemaIssue.makeFormatterDefault() when
human-readable details are needed.
Gotchas
Causes that contain defects, interruptions, or other non-schema reasons throw
with the underlying Cause attached instead of being converted to schema
validation errors.
Signature
declare const asserts: <S extends Constraint, I>(schema: S, input: I) => asserts input is I & S["Type"]Example
(Asserting and narrowing an input)
import { Schema, SchemaIssue } from "effect"
const input: unknown = "hello"
// This will pass silently (no return value) and narrow input to stringSchema.asserts(Schema.String, input)input.toUpperCase() // => "HELLO"
// This will throw an errortry { const invalid: unknown = 123 Schema.asserts(Schema.String, invalid)} catch (error) { if (error instanceof Error) { SchemaIssue.isIssue(error.cause) // => true }}Creates a type guard function that checks if a value conforms to a given schema.
Details
This function returns a predicate that performs a type-safe check, narrowing
the type of the input value if the check passes. The predicate returns false
for schema mismatches.
Gotchas
Only causes made entirely of schema issues are converted to false. Causes
that contain defects, interruptions, or other non-schema reasons throw
instead.
Signature
declare const is: <S extends Constraint>(schema: S) => <I>(input: I) => input is I & S["Type"]Example
(Defining a basic type guard)
import { Schema } from "effect"
const isString = Schema.is(Schema.String)
isString("hello") // => trueisString(42) // => false
// Type narrowing in actionconst value: unknown = "hello"if (isString(value)) { // value is now typed as string value.toUpperCase() // => "HELLO"}Checks whether a value is a Schema.
Signature
declare function isSchema(u: unknown): u is TopisSchemaError
Returns true if u is a SchemaError.
When to use
Use when you need to narrow an unknown value to SchemaError.
Signature
declare function isSchemaError(u: unknown): u is SchemaErrorExample
(Narrowing Schema errors)
import { Result, Schema } from "effect"
const result = Result.try(() => Schema.decodeUnknownSync(Schema.Number)("oops"))const error: unknown = Result.isFailure(result) ? result.failure : undefinedSchema.isSchemaError(error) // => trueInstances
overrideToEquivalence
Overrides the equivalence derivation for a schema by supplying a custom
Equivalence.
When to use
Use when you need a custom equivalence instead of the default structural equivalence derived by toEquivalence.
Signature
declare function overrideToEquivalence<S extends Top>(toEquivalence: () => Equivalence<S["Type"]>): (self: S) => S["Rebuild"]toEquivalence
Derives an Equivalence from a schema. Two values are considered equal when
every field (and nested field) compares equal according to the schema
structure.
Signature
declare function toEquivalence<T>(schema: Schema<T>): Equivalence<T>Example
(Comparing structs)
import { Schema } from "effect"
const eq = Schema.toEquivalence(Schema.Struct({ id: Schema.Number, name: Schema.String }))
eq({ id: 1, name: "Alice" }, { id: 1, name: "Alice" }) // => trueeq({ id: 1, name: "Alice" }, { id: 2, name: "Alice" }) // => falseModels
Type-level representation returned by Array.
Signature
interface $Array<S extends Constraint> extends BottomLazy<SchemaAST.Arrays, $Array<S>> { constructor(_: never); readonly "~type.make": readonly Array<S["~type.make"]>; readonly "~type.make.in": readonly Array<S["~type.make"]>; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: readonly Array<S["Encoded"]>; readonly EncodingServices: S["EncodingServices"]; readonly Iso: readonly Array<S["Iso"]>; readonly Type: readonly Array<S["Type"]>; readonly value: S;}$ReadonlyMap interface
Type-level representation returned by ReadonlyMap.
Signature
interface $ReadonlyMap<Key extends Constraint, Value extends Constraint> extends declareConstructor<globalThis.ReadonlyMap<Key["Type"], Value["Type"]>, globalThis.ReadonlyMap<Key["Encoded"], Value["Encoded"]>, readonly [Key, Value], ReadonlyMapIso<Key, Value>> { constructor(_: never); readonly key: Key; readonly Rebuild: $ReadonlyMap<Key, Value>; readonly value: Value;}$ReadonlySet interface
Type-level representation returned by ReadonlySet.
Signature
interface $ReadonlySet<Value extends Constraint> extends declareConstructor<globalThis.ReadonlySet<Value["Type"]>, globalThis.ReadonlySet<Value["Encoded"]>, readonly [Value], ReadonlySetIso<Value>> { constructor(_: never); readonly Rebuild: $ReadonlySet<Value>; readonly value: Value;}Type-level representation returned by Record.
Signature
interface $Record<Key extends Record.Key, Value extends Constraint> extends BottomLazy<SchemaAST.Objects, $Record<Key, Value>> { constructor(_: never); readonly "~type.make": { [K in string | number | symbol]: MakeIn<Key, Value>[K] }; readonly "~type.make.in": { [K in string | number | symbol]: MakeIn<Key, Value>[K] }; readonly DecodingServices: DecodingServices<Key, Value>; readonly Encoded: Encoded<Key, Value>; readonly EncodingServices: EncodingServices<Key, Value>; readonly Iso: Iso<Key, Value>; readonly key: Key; readonly Type: Type<Key, Value>; readonly value: Value;}Type-level representation of Any.
Signature
interface Any extends Bottom<any, any, never, never, SchemaAST.Any, Any> { constructor(_: never);}BigDecimal interface
Type-level representation of BigDecimal.
Signature
interface BigDecimal extends declare<BigDecimal_.BigDecimal> { constructor(_: never); readonly Rebuild: BigDecimal;}BigDecimalFromString interface
Type-level representation of BigDecimalFromString.
Signature
interface BigDecimalFromString extends decodeTo<BigDecimal, String> { constructor(_: never); readonly Rebuild: BigDecimalFromString;}Type-level representation of BigInt.
Signature
interface BigInt extends Bottom<bigint, bigint, never, never, SchemaAST.BigInt, BigInt> { constructor(_: never);}BigIntFromString interface
Type-level representation of BigIntFromString.
Signature
interface BigIntFromString extends decodeTo<BigInt, String> { constructor(_: never); readonly Rebuild: BigIntFromString;}Type-level representation of Boolean.
Signature
interface Boolean extends Bottom<boolean, boolean, never, never, SchemaAST.Boolean, Boolean> { constructor(_: never);}BooleanFromBit interface
Type-level representation of BooleanFromBit.
Signature
interface BooleanFromBit extends decodeTo<Boolean, Literals<readonly [0, 1]>> { constructor(_: never); readonly Rebuild: BooleanFromBit;}BottomWithoutNew interface
The fully-parameterized schema interface without a construct signature. Exposes all 14 type parameters controlling type inference, mutability, optionality, services, and transformation behavior.
When to use
Use as the base for schema interfaces that provide a specialized construct signature.
Signature
interface BottomWithoutNew<out T, out E, out RD, out RE, out Ast extends SchemaAST.AST, out Rebuild extends Top, out TypeMakeIn = T, out Iso = T, in out TypeParameters extends ReadonlyArray<Constraint> = readonly [], out TypeMake = TypeMakeIn, out TypeMutability extends Mutability = "readonly", out TypeOptionality extends Optionality = "required", out TypeConstructorDefault extends ConstructorDefault = "no-default", out EncodedMutability extends Mutability = "readonly", out EncodedOptionality extends Optionality = "required"> extends Pipeable { readonly "~effect/Schema/Schema": "~effect/Schema/Schema"; readonly "~encoded.mutability": EncodedMutability; readonly "~encoded.optionality": EncodedOptionality; readonly "~type.constructor.default": TypeConstructorDefault; readonly "~type.make": TypeMake; readonly "~type.make.in": TypeMakeIn; readonly "~type.mutability": TypeMutability; readonly "~type.optionality": TypeOptionality; readonly "~type.parameters": TypeParameters; readonly ast: Ast; readonly DecodingServices: RD; readonly Encoded: E; readonly EncodingServices: RE; Iso: Iso; Rebuild: Rebuild; readonly Type: T; annotate(annotations: Bottom<T, TypeParameters>): Rebuild; annotateKey(annotations: Key<T>): Rebuild; check(...checks: readonly [Check<T>, Check<T>]): Rebuild; make(input: TypeMakeIn, options?: MakeOptions): T; makeEffect(input: TypeMakeIn, options?: MakeOptions): Effect<T, Issue>; makeOption(input: TypeMakeIn, options?: MakeOptions): Option<T>; rebuild(ast: Ast): Rebuild;}Type-level representation returned by Cause.
Signature
interface Cause<E extends Constraint, D extends Constraint> extends declareConstructor<Cause_.Cause<E["Type"]>, Cause_.Cause<E["Encoded"]>, readonly [E, D], CauseIso<E, D>> { constructor(_: never); readonly defect: D; readonly error: E; readonly Rebuild: Cause<E, D>;}CauseReason interface
Type-level representation returned by CauseReason.
Signature
interface CauseReason<E extends Constraint, D extends Constraint> extends declareConstructor<Cause_.Reason<E["Type"]>, Cause_.Reason<E["Encoded"]>, readonly [E, D], CauseReasonIso<E, D>> { constructor(_: never); readonly defect: D; readonly error: E; readonly Rebuild: CauseReason<E, D>;}Type-level representation of Char.
Signature
interface Char extends String { constructor(_: never); readonly Rebuild: Char;}Type-level representation returned by Chunk.
Signature
interface Chunk<Value extends Constraint> extends declareConstructor<Chunk_.Chunk<Value["Type"]>, Chunk_.Chunk<Value["Encoded"]>, readonly [Value], ChunkIso<Value>> { constructor(_: never); readonly Rebuild: Chunk<Value>; readonly value: Value;}Type-level representation returned by Class.
Signature
interface Class<Self, S extends Constraint & { readonly fields: Struct.Fields;}, Inherited> extends BottomLazyWithoutNew<SchemaAST.Declaration, decodeTo<declareConstructor<Self, S["Encoded"], readonly [S], S["Iso"]>, S>, readonly [S], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(...args: {} extends S["~type.make.in"] ? [props?: S["~type.make.in"], options?: MakeOptions] : [props: S["~type.make.in"], options?: MakeOptions]); readonly "~type.make": Self; readonly "~type.make.in": RequiredKeys<S["~type.make.in"]> extends never ? void | S["~type.make.in"] : S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: S["Encoded"]; readonly EncodingServices: S["EncodingServices"]; readonly fields: S["fields"]; readonly identifier: string; readonly Iso: S["Iso"]; readonly Type: Self; extend<Extended = never, Static = {}, Brand = {}>(identifier: string): { <NewFields extends Fields>(fields: NewFields, annotations?: Declaration<Extended, readonly [Struct<{ [K in string | number | symbol]: { [K in string | number | symbol]: ... & ... extends never ? ... & ... : ... & ...[K] }[K] }>]>): [Extended] extends [never] ? "Missing `Self` generic - use `class Self extends Base.extend<Self>(...)`" : InheritStaticMembers<Class<Extended, Struct<{ [K in string | number | symbol]: { [K in string | number | symbol]: ... & ... extends never ? ... & ... : ... & ...[K] }[K] }>, Self & Brand>, Static>; <Extension extends Struct<Fields>>(schema: Extension, annotations?: Declaration<Extended, readonly [Struct<{ [K in string | number | symbol]: { [K in string | number | symbol]: ... & ... extends never ? ... & ... : ... & ...[K] }[K] }>]>): [Extended] extends [never] ? "Missing `Self` generic - use `class Self extends Base.extend<Self>(...)`" : InheritStaticMembers<Class<Extended, Struct<{ [K in string | number | symbol]: { [K in string | number | symbol]: ... & ... extends never ? ... & ... : ... & ...[K] }[K] }>, Self & Brand>, Static>; }; mapFields<To extends Fields>(f: (fields: S["fields"]) => To, options?: { readonly unsafePreserveChecks?: boolean; }): Struct<{ [K in string | number | symbol]: Readonly<To>[K] }>;}A schema that tracks the decoded type T, the encoded type E, and the
Effect services required during decoding (RD) and encoding (RE).
Details
Use Codec<T, E, RD, RE> when you need to preserve full type information
about a schema — both what it decodes to and what it serializes from/to.
Most concrete schemas produced by this module implement Codec.
For APIs that only need one direction, prefer the narrower views:
- Decoder
<T, RD>— decode-only - Encoder
<E, RE>— encode-only - Schema
<T>— type-only (no encoded representation)
See
- Codec.Encoded — extract the encoded type
- Codec.DecodingServices — extract required decoding services
- Codec.EncodingServices — extract required encoding services
- revealCodec — helper to make TypeScript infer the full Codec type
Signature
interface Codec<out T, out E = T, out RD = never, out RE = never> extends Schema<T> { constructor(_: never); readonly DecodingServices: RD; readonly Encoded: E; readonly EncodingServices: RE; readonly Rebuild: Codec<T, E, RD, RE>;}Example
import { Schema } from "effect"
const serialize = <T>(codec: Schema.Codec<T, string>, value: T): string => Schema.encodeSync(codec)(value)
serialize(Schema.NumberFromString, 42) // => "42"Constraint interface
Lightweight structural constraint for APIs that accept schema values but only read their data and type-level views.
When to use
Use when you need to constrain a generic value to be a schema, but the API
only reads properties such as ast, Type, Encoded, service
requirements, constructor input views, or modifier flags.
Details
Constraint keeps the schema type identifier and the property surface needed
by schema constructors, while avoiding the full Bottom protocol. Use
Top when an API calls schema methods such as annotate, check,
rebuild, make, or makeEffect.
See
- Top for the complete schema protocol.
Signature
interface Constraint { readonly "~effect/Schema/Schema": "~effect/Schema/Schema"; readonly "~encoded.mutability": Mutability; readonly "~encoded.optionality": Optionality; readonly "~type.constructor.default": ConstructorDefault; readonly "~type.make": unknown; readonly "~type.make.in": unknown; readonly "~type.mutability": Mutability; readonly "~type.optionality": Optionality; readonly "~type.parameters": any; readonly ast: AST; readonly DecodingServices: unknown; readonly Encoded: unknown; readonly EncodingServices: unknown; readonly Iso: unknown; readonly Type: unknown;}ConstraintCodec interface
Lightweight structural constraint for APIs that need codec type views but do not need the full schema protocol.
When to use
Use when you need to preserve decoded type, encoded type, and service
requirements for a schema value, but the API does not call schema methods
such as annotate, check, rebuild, make, or makeEffect.
See
- Constraint for the generic lightweight schema constraint.
- Codec for the full schema protocol with codec type views.
Signature
interface ConstraintCodec<out T, out E = T, out RD = never, out RE = never> extends Constraint { readonly DecodingServices: RD; readonly Encoded: E; readonly EncodingServices: RE; readonly Type: T;}ConstraintDecoder interface
Lightweight structural constraint for APIs that need decoder type views but do not need the full schema protocol.
When to use
Use when you need to preserve a schema's decoded type and decoding services,
but the API does not constrain the encoded type, encoding services, or call
schema methods such as annotate, check, rebuild, make, or
makeEffect.
See
- ConstraintCodec for APIs that need both decoded and encoded codec views.
- Codec for the full schema protocol with codec type views.
Signature
interface ConstraintDecoder<out T, out RD = never> extends ConstraintCodec<T, unknown, RD, unknown> {}ConstraintEncoder interface
Lightweight structural constraint for APIs that need encoder type views but do not need the full schema protocol.
When to use
Use when you need to preserve a schema's encoded type and encoding services,
but the API does not constrain the decoded type, decoding services, or call
schema methods such as annotate, check, rebuild, make, or
makeEffect.
See
- ConstraintCodec for APIs that need both decoded and encoded codec views.
- Codec for the full schema protocol with codec type views.
Signature
interface ConstraintEncoder<out E, out RE = never> extends ConstraintCodec<unknown, E, unknown, RE> {}ConstraintRebuildable interface
Lightweight structural constraint for APIs that need schema views and the rebuilt schema type, but do not call the full schema protocol.
When to use
Use when an API needs to read Rebuild in addition to the schema views
exposed by Constraint, but does not call methods such as annotate,
check, rebuild, make, or makeEffect.
Signature
interface ConstraintRebuildable extends Constraint { readonly Rebuild: Constraint;}ConstructorDefault type
Whether a schema field has a constructor default value.
See
- withConstructorDefault — add a default to a schema field
- tag — creates a literal field with a constructor default
Signature
type ConstructorDefault = "no-default" | "with-default"Type-level representation of Date.
Signature
interface Date extends declare<globalThis.Date> { constructor(_: never); readonly Rebuild: Date;}DateFromMillis interface
Type-level representation of DateFromMillis.
Signature
interface DateFromMillis extends decodeTo<Date, Int> { constructor(_: never); readonly Rebuild: DateFromMillis;}DateFromString interface
Type-level representation of DateFromString.
Signature
interface DateFromString extends decodeTo<Date, String> { constructor(_: never); readonly Rebuild: DateFromString;}DateTimeUtc interface
Type-level representation of DateTimeUtc.
Signature
interface DateTimeUtc extends declare<DateTime.Utc> { constructor(_: never); readonly Rebuild: DateTimeUtc;}DateTimeUtcFromDate interface
Type-level representation of DateTimeUtcFromDate.
Signature
interface DateTimeUtcFromDate extends decodeTo<DateTimeUtc, Date> { constructor(_: never); readonly Rebuild: DateTimeUtcFromDate;}DateTimeUtcFromMillis interface
Type-level representation of DateTimeUtcFromMillis.
Signature
interface DateTimeUtcFromMillis extends decodeTo<instanceOf<DateTime.Utc>, Int> { constructor(_: never); readonly Rebuild: DateTimeUtcFromMillis;}DateTimeUtcFromString interface
Type-level representation of DateTimeUtcFromString.
Signature
interface DateTimeUtcFromString extends decodeTo<DateTimeUtc, String> { constructor(_: never); readonly Rebuild: DateTimeUtcFromString;}DateTimeZoned interface
Type-level representation of DateTimeZoned.
Signature
interface DateTimeZoned extends declare<DateTime.Zoned> { constructor(_: never); readonly Rebuild: DateTimeZoned;}DateTimeZonedFromString interface
Type-level representation of DateTimeZonedFromString.
Signature
interface DateTimeZonedFromString extends decodeTo<DateTimeZoned, String> { constructor(_: never); readonly Rebuild: DateTimeZonedFromString;}A schema that tracks the decoded type T and the Effect services required
during decoding (RD).
When to use
Use when you need to preserve a schema's decoded type and decoding service requirements, but do not need to constrain its encoded representation or encoding services.
See
Signature
interface Decoder<out T, out RD = never> extends Schema<T> { constructor(_: never); readonly DecodingServices: RD; readonly Encoded: unknown; readonly EncodingServices: unknown; readonly Rebuild: Decoder<T, RD>;}Type-level representation of Defect.
Signature
interface Defect extends decodeTo<Unknown, typeof Json> { constructor(_: never); readonly Rebuild: Defect;}Type-level representation of Duration.
Signature
interface Duration extends declare<Duration_.Duration> { constructor(_: never); readonly Rebuild: Duration;}DurationFromMillis interface
Type-level representation of DurationFromMillis.
Signature
interface DurationFromMillis extends decodeTo<Duration, Number> { constructor(_: never); readonly Rebuild: DurationFromMillis;}DurationFromNanos interface
Type-level representation of DurationFromNanos.
Signature
interface DurationFromNanos extends decodeTo<Duration, BigInt> { constructor(_: never); readonly Rebuild: DurationFromNanos;}DurationFromString interface
Type-level representation of DurationFromString.
Signature
interface DurationFromString extends decodeTo<Duration, String> { constructor(_: never); readonly Rebuild: DurationFromString;}EncodedGraph type
Encoded representation of an immutable Effect graph.
Signature
type EncodedGraph<N, E, T extends Graph_.Kind> = Graph_.Snapshot<N, E, T>A schema that tracks the encoded type E and the Effect services required
during encoding (RE).
When to use
Use when you need to preserve a schema's encoded type and encoding service requirements, but do not need to constrain its decoded representation or decoding services.
See
Signature
interface Encoder<out E, out RE = never> extends Schema<unknown> { constructor(_: never); readonly DecodingServices: unknown; readonly Encoded: E; readonly EncodingServices: RE; readonly Rebuild: Encoder<E, RE>;}Type-level representation returned by Enum.
Signature
interface Enum<A extends { [x: string]: string | number;}> extends Bottom<A[keyof A], A[keyof A], never, never, SchemaAST.Enum, Enum<A>> { constructor(_: never); readonly enums: A;}ErrorInstance interface
Type-level representation of ErrorInstance.
Signature
interface ErrorInstance extends instanceOf<globalThis.Error> { constructor(_: never); readonly Rebuild: ErrorInstance;}Type-level representation returned by Exit.
Signature
interface Exit<A extends Constraint, E extends Constraint, D extends Constraint> extends declareConstructor<Exit_.Exit<A["Type"], E["Type"]>, Exit_.Exit<A["Encoded"], E["Encoded"]>, readonly [A, E, D], ExitIso<A, E, D>> { constructor(_: never); readonly defect: D; readonly error: E; readonly Rebuild: Exit<A, E, D>; readonly value: A;}Type-level representation of File.
Signature
interface File extends instanceOf<globalThis.File> { constructor(_: never); readonly Rebuild: File;}FilterIssue type
A single failure reported by a filter predicate. Used as the element type of the array arm of FilterOutput, and also accepted on its own.
Details
string: failure with that string as the message. Produces an SchemaIssue.InvalidValue with the string used as the issue'smessageannotation and honorsreportInput.- SchemaIssue.Issue: a fully-formed issue, returned as-is. It is not
enriched when
reportInputis enabled. { path, issue }: failure attached to a nested path.issueis either astring(wrapped in an SchemaIssue.InvalidValue that honorsreportInput) or a full SchemaIssue.Issue (returned unchanged); the result is wrapped in an SchemaIssue.Pointer at the givenpath.
Signature
type FilterIssue = string | SchemaIssue.Issue | { readonly issue: string | SchemaIssue.Issue; readonly path: ReadonlyArray<PropertyKey>;}FilterOutput type
The value a filter predicate (see makeFilter) may return.
Details
Each shape is normalized into an SchemaIssue.Issue (or undefined for
success) before being attached to the parse result:
undefined: success. The input satisfies the filter.true: success. Equivalent toundefined, useful when the predicate is a plain boolean expression.false: generic failure. Produces an SchemaIssue.InvalidValue with no custom message and honorsreportInput.- FilterIssue: a single failure. See FilterIssue for the
shapes (
string, SchemaIssue.Issue, or{ path, issue }). ReadonlyArray<FilterIssue>: several failures reported together. An empty array is treated as success; a single-element array is equivalent to returning that element directly; otherwise the entries are grouped into an SchemaIssue.Composite.
Signature
type FilterOutput = undefined | boolean | FilterIssue | ReadonlyArray<FilterIssue>Type-level representation of Finite.
Signature
interface Finite extends Number { constructor(_: never); readonly Rebuild: Finite;}FiniteFromString interface
Type-level representation of FiniteFromString.
Signature
interface FiniteFromString extends decodeTo<Finite, String> { constructor(_: never); readonly Rebuild: FiniteFromString;}Type-level representation of FormData.
Signature
interface FormData extends instanceOf<globalThis.FormData> { constructor(_: never); readonly Rebuild: FormData;}fromFormData interface
Type-level representation returned by fromFormData.
Signature
interface fromFormData<S extends Constraint> extends decodeTo<S, FormData> { constructor(_: never); readonly Rebuild: fromFormData<S>;}fromJsonString interface
Type-level representation returned by fromJsonString.
Signature
interface fromJsonString<S extends Constraint> extends decodeTo<S, String> { constructor(_: never); readonly Rebuild: fromJsonString<S>;}fromURLSearchParams interface
Type-level representation returned by fromURLSearchParams.
Signature
interface fromURLSearchParams<S extends Constraint> extends decodeTo<S, URLSearchParams> { constructor(_: never); readonly Rebuild: fromURLSearchParams<S>;}Type-level representation returned by Graph.
Signature
interface Graph<T extends Graph_.Kind, Node extends Constraint, Edge extends Constraint> extends declareConstructor<Graph_.Graph<Node["Type"], Edge["Type"], T>, Graph_.Graph<Node["Encoded"], Edge["Encoded"], T>, readonly [Node, Edge], GraphIso<T, Node, Edge>> { constructor(_: never); readonly edge: Edge; readonly node: Node; readonly Rebuild: Graph<T, Node, Edge>; readonly type: T;}Type-level representation returned by HashMap.
Signature
interface HashMap<Key extends Constraint, Value extends Constraint> extends declareConstructor<HashMap_.HashMap<Key["Type"], Value["Type"]>, HashMap_.HashMap<Key["Encoded"], Value["Encoded"]>, readonly [Key, Value], HashMapIso<Key, Value>> { constructor(_: never); readonly key: Key; readonly Rebuild: HashMap<Key, Value>; readonly value: Value;}Type-level representation returned by HashSet.
Signature
interface HashSet<Value extends Constraint> extends declareConstructor<HashSet_.HashSet<Value["Type"]>, HashSet_.HashSet<Value["Encoded"]>, readonly [Value], HashSetIso<Value>> { constructor(_: never); readonly Rebuild: HashSet<Value>; readonly value: Value;}instanceOf interface
Type-level representation returned by instanceOf.
Signature
interface instanceOf<T, Iso = T> extends declare<T, Iso> { constructor(_: never); readonly Rebuild: instanceOf<T, Iso>;}Type-level representation of Int.
Signature
interface Int extends Number { constructor(_: never); readonly Rebuild: Int;}Recursive TypeScript type for any valid immutable JSON value: null,
number, boolean, string, a readonly array of Json values, or a
readonly record of string → Json. For the corresponding schema, see the
Json const.
Signature
type Json = null | number | boolean | string | JsonArray | JsonObjectA readonly array of Json values.
Signature
interface JsonArray extends ReadonlyArray<Json> { [n: number]: Json;}JsonObject interface
A readonly record whose values are Json values.
Signature
interface JsonObject { [x: string]: Json;}Type-level representation returned by Literal.
Signature
interface Literal<L extends SchemaAST.LiteralValue> extends Bottom<L, L, never, never, SchemaAST.Literal, Literal<L>> { constructor(_: never); readonly literal: L; transform<L2 extends LiteralValue>(to: L2): decodeTo<Literal<L2>, Literal<L>>;}Type-level representation returned by Literals.
Signature
interface Literals<L extends ReadonlyArray<SchemaAST.LiteralValue>> extends Bottom<L[number], L[number], never, never, SchemaAST.Union<SchemaAST.Literal>, Literals<L>> { constructor(_: never); readonly literals: L; readonly members: { [K in string | number | symbol]: Literal<L[K]> }; mapMembers<To extends readonly Array<Constraint>>(f: (members: { [K in string | number | symbol]: Literal<L[K]> }) => To): Union<{ [K in string | number | symbol]: Readonly<To>[K] }>; pick<L2 extends readonly Array<L[number]>>(literals: L2): Literals<L2>; transform<L2 extends { [I in string | number | symbol]: LiteralValue }>(to: L2): Union<{ [I in string | number | symbol]: decodeTo<Literal<L2[I]>, Literal<L[I]>, never, never> }>;}Mutability type
Whether a schema field is readonly or mutable within a struct.
See
- mutableKey — mark a struct field as mutable
Signature
type Mutability = "readonly" | "mutable"MutableJson type
Recursive TypeScript type for mutable JSON values: null, number,
boolean, string, mutable arrays, or mutable string-keyed records.
Signature
type MutableJson = null | number | boolean | string | MutableJsonArray | MutableJsonObjectMutableJsonArray interface
A mutable array of MutableJson values.
Signature
interface MutableJsonArray extends Array<MutableJson> { [n: number]: MutableJson;}MutableJsonObject interface
A mutable record whose values are MutableJson values.
Signature
interface MutableJsonObject { [x: string]: MutableJson;}mutableKey interface
Type-level representation returned by mutableKey.
Signature
interface mutableKey<S extends Constraint> extends BottomLazy<S["ast"], mutableKey<S>, S["~type.parameters"], "mutable", S["~type.optionality"], S["~type.constructor.default"], "mutable", S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: S["Encoded"]; readonly EncodingServices: S["EncodingServices"]; readonly Iso: S["Iso"]; readonly schema: S; readonly Type: S["Type"];}Type-level representation of Natural.
Signature
interface Natural extends Int { constructor(_: never); readonly Rebuild: Natural;}Type-level representation of Never.
Signature
interface Never extends Bottom<never, never, never, never, SchemaAST.Never, Never> { constructor(_: never);}NonEmptyArray interface
Type-level representation returned by NonEmptyArray.
Signature
interface NonEmptyArray<S extends Constraint> extends BottomLazy<SchemaAST.Arrays, NonEmptyArray<S>> { constructor(_: never); readonly "~type.make": readonly [S["~type.make"], S["~type.make"]]; readonly "~type.make.in": readonly [S["~type.make"], S["~type.make"]]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: readonly [S["Encoded"], S["Encoded"]]; readonly EncodingServices: S["EncodingServices"]; readonly Iso: readonly [S["Iso"], S["Iso"]]; readonly Type: readonly [S["Type"], S["Type"]]; readonly value: S;}NonEmptyString interface
Type-level representation of NonEmptyString.
Signature
interface NonEmptyString extends String { constructor(_: never); readonly Rebuild: NonEmptyString;}Type-level representation of Null.
Signature
interface Null extends Bottom<null, null, never, never, SchemaAST.Null, Null> { constructor(_: never);}Type-level representation returned by NullishOr.
Signature
interface NullishOr<S extends Constraint> extends Union<readonly [S, Null, Undefined]> { constructor(_: never); readonly Rebuild: NullishOr<S>;}Type-level representation returned by NullOr.
Signature
interface NullOr<S extends Constraint> extends Union<readonly [S, Null]> { constructor(_: never); readonly Rebuild: NullOr<S>;}Type-level representation of Number.
Signature
interface Number extends Bottom<number, number, never, never, SchemaAST.Number, Number> { constructor(_: never);}NumberFromString interface
Type-level representation of NumberFromString.
Signature
interface NumberFromString extends decodeTo<Number, String> { constructor(_: never); readonly Rebuild: NumberFromString;}ObjectKeyword interface
Type-level representation of ObjectKeyword.
Signature
interface ObjectKeyword extends Bottom<object, object, never, never, SchemaAST.ObjectKeyword, ObjectKeyword> { constructor(_: never);}Type-level representation returned by Opaque.
Signature
interface Opaque<Self, S extends Top, Brand> extends BottomLazyWithoutNew<S["ast"], S["Rebuild"], S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: S["Encoded"]; readonly EncodingServices: S["EncodingServices"]; readonly Iso: S["Iso"]; readonly Type: Self;}A schema that additionally supports optic (lens/prism) operations.
Details
Optic<T, Iso> extends Schema<T> with an Iso type that
describes the isomorphic counterpart used by the optic layer. Crucially,
decoding and encoding require no Effect services (DecodingServices and
EncodingServices are both never), which means the optic can operate
purely without an Effect runtime.
Most primitive schemas (e.g. Schema.String, Schema.Number) implement
Optic automatically. You normally interact with this interface through
Optic_ utilities rather than constructing it directly.
Signature
interface Optic<out T, out Iso> extends Schema<T> { constructor(_: never); readonly DecodingServices: never; readonly EncodingServices: never; Iso: Iso; readonly Rebuild: Optic<T, Iso>;}Type-level representation returned by Option.
Signature
interface Option<A extends Constraint> extends declareConstructor<Option_.Option<A["Type"]>, Option_.Option<A["Encoded"]>, readonly [A], OptionIso<A>> { constructor(_: never); readonly Rebuild: Option<A>; readonly value: A;}Type-level representation returned by optional.
Signature
interface optional<S extends Constraint> extends optionalKey<UndefinedOr<S>> { constructor(_: never); readonly Rebuild: optional<S>;}Optionality type
Whether a schema field is required or optional within a struct.
See
- optionalKey — mark a struct field as optional
- optional — mark a struct field as optional with
| undefined
Signature
type Optionality = "required" | "optional"optionalKey interface
Type-level representation returned by optionalKey.
Signature
interface optionalKey<S extends Constraint> extends BottomLazy<S["ast"], optionalKey<S>, S["~type.parameters"], S["~type.mutability"], "optional", S["~type.constructor.default"], S["~encoded.mutability"], "optional"> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: S["Encoded"]; readonly EncodingServices: S["EncodingServices"]; readonly Iso: S["Iso"]; readonly schema: S; readonly Type: S["Type"];}OptionFromNullishOr interface
Type-level representation returned by OptionFromNullishOr.
Signature
interface OptionFromNullishOr<S extends Constraint> extends decodeTo<Option<toType<S>>, NullishOr<S>> { constructor(_: never); readonly Rebuild: OptionFromNullishOr<S>;}OptionFromNullOr interface
Type-level representation returned by OptionFromNullOr.
Signature
interface OptionFromNullOr<S extends Constraint> extends decodeTo<Option<toType<S>>, NullOr<S>> { constructor(_: never); readonly Rebuild: OptionFromNullOr<S>;}OptionFromOptional interface
Type-level representation returned by OptionFromOptional.
Signature
interface OptionFromOptional<S extends Constraint> extends decodeTo<Option<toType<S>>, optional<S>> { constructor(_: never); readonly Rebuild: OptionFromOptional<S>;}OptionFromOptionalKey interface
Type-level representation returned by OptionFromOptionalKey.
Signature
interface OptionFromOptionalKey<S extends Constraint> extends decodeTo<Option<toType<S>>, optionalKey<S>> { constructor(_: never); readonly Rebuild: OptionFromOptionalKey<S>;}OptionFromOptionalNullOr interface
Type-level representation returned by OptionFromOptionalNullOr.
Signature
interface OptionFromOptionalNullOr<S extends Constraint> extends decodeTo<Option<toType<S>>, optional<NullOr<S>>> { constructor(_: never); readonly Rebuild: OptionFromOptionalNullOr<S>;}OptionFromUndefinedOr interface
Type-level representation returned by OptionFromUndefinedOr.
Signature
interface OptionFromUndefinedOr<S extends Constraint> extends decodeTo<Option<toType<S>>, UndefinedOr<S>> { constructor(_: never); readonly Rebuild: OptionFromUndefinedOr<S>;}Type-level representation returned by Redacted.
Signature
interface Redacted<S extends Constraint> extends declareConstructor<Redacted_.Redacted<S["Type"]>, Redacted_.Redacted<S["Encoded"]>, readonly [S]> { constructor(_: never); readonly Rebuild: Redacted<S>; readonly value: S;}RedactedFromValue interface
Type-level representation returned by RedactedFromValue.
Signature
interface RedactedFromValue<S extends Constraint> extends decodeTo<Redacted<toType<S>>, S> { constructor(_: never); readonly Rebuild: RedactedFromValue<S>;}Type-level representation of RegExp.
Signature
interface RegExp extends instanceOf<globalThis.RegExp> { constructor(_: never); readonly Rebuild: RegExp;}Type-level representation returned by Result.
Signature
interface Result<A extends Constraint, E extends Constraint> extends declareConstructor<Result_.Result<A["Type"], E["Type"]>, Result_.Result<A["Encoded"], E["Encoded"]>, readonly [A, E], ResultIso<A, E>> { constructor(_: never); readonly failure: E; readonly Rebuild: Result<A, E>; readonly success: A;}A typed view of a schema that tracks only the decoded (output) type T.
Details
Use Schema<T> as a constraint when you want to accept "any schema that
decodes to T" and do not need to know or constrain the encoded
representation, required services, or any other type parameters.
This is a structural interface — concrete schema values are produced by the constructors in this module (e.g. Struct, String, Number). When you also need the encoded type or service requirements, use Codec.
See
- Codec — also tracks Encoded, DecodingServices, EncodingServices
- Schema.Type — extract the decoded type at the type level
Signature
interface Schema<out T> extends Top { constructor(_: never); readonly Rebuild: Schema<T>; readonly Type: T;}Example
import { Schema } from "effect"
const accept = (_schema: Schema.Schema<string>): void => {}
accept(Schema.String)accept(Schema.NonEmptyString)Type-level representation of String.
Signature
interface String extends Bottom<string, string, never, never, SchemaAST.String, String> { constructor(_: never);}StringFromBase64 interface
Type-level representation of StringFromBase64.
Signature
interface StringFromBase64 extends decodeTo<String, String> { constructor(_: never); readonly Rebuild: StringFromBase64;}StringFromBase64Url interface
Type-level representation of StringFromBase64Url.
Signature
interface StringFromBase64Url extends decodeTo<String, String> { constructor(_: never); readonly Rebuild: StringFromBase64Url;}StringFromHex interface
Type-level representation of StringFromHex.
Signature
interface StringFromHex extends decodeTo<String, String> { constructor(_: never); readonly Rebuild: StringFromHex;}StringFromUriComponent interface
Type-level representation of StringFromUriComponent.
Signature
interface StringFromUriComponent extends decodeTo<String, String> { constructor(_: never); readonly Rebuild: StringFromUriComponent;}StringTree type
A Tree of string | undefined nodes. Leaf values are either a
string representation or undefined for opaque/declaration types.
Signature
type StringTree = Tree<string | undefined>Type-level representation returned by Struct.
Signature
interface Struct<Fields extends Struct.Fields> extends BottomLazy<SchemaAST.Objects, Struct<Fields>> { constructor(_: never); readonly "~type.make": MakeInView<Fields>; readonly "~type.make.in": MakeInView<Fields>; readonly DecodingServices: DecodingServices<Fields>; readonly Encoded: View<Fields>; readonly EncodingServices: EncodingServices<Fields>; readonly fields: Fields; readonly Iso: View<Fields>; readonly Type: View<Fields>; mapFields<To extends Fields>(f: (fields: Fields) => To, options?: { readonly unsafePreserveChecks?: boolean; }): Struct<{ [K in string | number | symbol]: Readonly<To>[K] }>;}StructWithRest interface
Type-level representation returned by StructWithRest.
Signature
interface StructWithRest<S extends StructWithRest.Objects, Records extends StructWithRest.Records> extends BottomLazy<SchemaAST.Objects, StructWithRest<S, Records>> { constructor(_: never); readonly "~type.make": { [K in string | number | symbol]: MakeIn<S, Records>[K] }; readonly "~type.make.in": { [K in string | number | symbol]: MakeIn<S, Records>[K] }; readonly DecodingServices: DecodingServices<S, Records>; readonly Encoded: { [K in string | number | symbol]: Encoded<S, Records>[K] }; readonly EncodingServices: EncodingServices<S, Records>; readonly Iso: { [K in string | number | symbol]: Iso<S, Records>[K] }; readonly records: Records; readonly schema: S; readonly Type: { [K in string | number | symbol]: Type<S, Records>[K] };}Type-level representation returned by suspend.
Signature
interface suspend<S extends Constraint> extends BottomLazy<SchemaAST.Suspend, suspend<S>, S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: S["Encoded"]; readonly EncodingServices: S["EncodingServices"]; readonly Iso: S["Iso"]; readonly Type: S["Type"];}Type-level representation of Symbol.
Signature
interface Symbol extends Bottom<symbol, symbol, never, never, SchemaAST.Symbol, Symbol> { constructor(_: never);}TaggedStruct type
Type-level representation returned by TaggedStruct.
Signature
type TaggedStruct<Tag extends SchemaAST.LiteralValue, Fields extends Struct.Fields> = Struct<Simplify<{ readonly _tag: tag<Tag>;} & Fields>>TaggedUnion interface
Type-level representation returned by TaggedUnion.
Signature
interface TaggedUnion<Cases extends Record<string, Constraint>> extends BottomLazy<SchemaAST.Union<SchemaAST.Objects>, TaggedUnion<Cases>> { constructor(_: never); readonly "~type.make": { [K in string | number | symbol]: Cases[K]["~type.make"] }[keyof Cases]; readonly "~type.make.in": { [K in string | number | symbol]: Cases[K]["~type.make"] }[keyof Cases]; readonly cases: Cases; readonly DecodingServices: { [K in string | number | symbol]: Cases[K]["DecodingServices"] }[keyof Cases]; readonly Encoded: { [K in string | number | symbol]: Cases[K]["Encoded"] }[keyof Cases]; readonly EncodingServices: { [K in string | number | symbol]: Cases[K]["EncodingServices"] }[keyof Cases]; readonly guards: { [K in string | number | symbol]: (u: unknown) => u is Cases[K]["Type"] }; readonly isAnyOf: <Keys>(keys: readonly Array<Keys>) => (value: Cases[keyof Cases]["Type"]) => value is Extract<Cases[keyof Cases]["Type"], { _tag: Keys; }>; readonly Iso: { [K in string | number | symbol]: Cases[K]["Type"] }[keyof Cases]; readonly match: { <Output>(cases: { [K in string | number | symbol]: (value: Cases[K]["Type"]) => Output }): (value: Cases[keyof Cases]["Type"]) => Output; <Output>(value: Cases[keyof Cases]["Type"], cases: { [K in string | number | symbol]: (value: Cases[K]["Type"]) => Output }): Output; }; readonly matchOrElse: { <Output>(value: Cases[keyof Cases]["Type"], cases: { [K in string | number | symbol]: (value: Cases[K]["Type"]) => Output }, orElse: (value: Cases[keyof Cases]["Type"]) => Output): Output; <Output>(cases: { [K in string | number | symbol]: (value: Cases[K]["Type"]) => Output }, orElse: (value: Cases[keyof Cases]["Type"]) => Output): (value: Cases[keyof Cases]["Type"]) => Output; }; readonly Type: { [K in string | number | symbol]: Cases[K]["Type"] }[keyof Cases];}TemplateLiteral interface
Type-level representation returned by TemplateLiteral.
Signature
interface TemplateLiteral<Parts extends TemplateLiteral.Parts> extends Bottom<TemplateLiteral.Encoded<Parts>, TemplateLiteral.Encoded<Parts>, never, never, SchemaAST.TemplateLiteral, TemplateLiteral<Parts>> { constructor(_: never); readonly parts: Parts;}TemplateLiteralParser interface
Type-level representation returned by TemplateLiteralParser.
Signature
interface TemplateLiteralParser<Parts extends TemplateLiteral.Parts> extends BottomLazy<SchemaAST.Arrays, TemplateLiteralParser<Parts>> { constructor(_: never); readonly "~type.make": Type<Parts>; readonly "~type.make.in": Type<Parts>; readonly DecodingServices: never; readonly Encoded: Encoded<Parts>; readonly EncodingServices: never; readonly Iso: Type<Parts>; readonly parts: Parts; readonly Type: Type<Parts>;}Type-level representation of TimeZone.
Signature
interface TimeZone extends declare<DateTime.TimeZone> { constructor(_: never); readonly Rebuild: TimeZone;}TimeZoneFromString interface
Type-level representation of TimeZoneFromString.
Signature
interface TimeZoneFromString extends decodeTo<TimeZone, String> { constructor(_: never); readonly Rebuild: TimeZoneFromString;}TimeZoneNamed interface
Type-level representation of TimeZoneNamed.
Signature
interface TimeZoneNamed extends declare<DateTime.TimeZone.Named> { constructor(_: never); readonly Rebuild: TimeZoneNamed;}TimeZoneNamedFromString interface
Type-level representation of TimeZoneNamedFromString.
Signature
interface TimeZoneNamedFromString extends decodeTo<TimeZoneNamed, String> { constructor(_: never); readonly Rebuild: TimeZoneNamedFromString;}TimeZoneOffset interface
Type-level representation of TimeZoneOffset.
Signature
interface TimeZoneOffset extends declare<DateTime.TimeZone.Offset> { constructor(_: never); readonly Rebuild: TimeZoneOffset;}The existential "any schema" type — all type parameters are erased to unknown.
Details
Use Top as a constraint when writing generic utilities that must accept any
schema regardless of its Type, Encoded, or service requirements. It is the
widest possible schema type and therefore gives you the least static information.
In user code prefer the narrower interfaces:
- Schema
<T>— when you only care about the decoded type - Codec
<T, E, RD, RE>— when you need the encoded type and service requirements - ConstraintDecoder
<T, RD>— for decode-only APIs - ConstraintEncoder
<E, RE>— for encode-only APIs
Signature
interface Top extends Bottom<unknown, unknown, unknown, unknown, SchemaAST.AST, Top, unknown, unknown, any, unknown, Mutability, Optionality, ConstructorDefault, Mutability, Optionality> { constructor(_: never);}Recursive tree type whose leaves are Node values and whose branches are
readonly arrays or string-keyed records of child trees.
Signature
type Tree<Node> = Node | TreeRecord<Node> | ReadonlyArray<Tree<Node>>TreeRecord interface
A record node in a Tree: an object mapping string keys to child
Tree nodes.
Signature
interface TreeRecord<A> { [x: string]: Tree<A>;}Type-level representation of Trim.
Signature
interface Trim extends decodeTo<Trimmed, String> { constructor(_: never); readonly Rebuild: Trim;}Type-level representation of Trimmed.
Signature
interface Trimmed extends String { constructor(_: never); readonly Rebuild: Trimmed;}Type-level representation returned by Tuple.
Signature
interface Tuple<Elements extends Tuple.Elements> extends BottomLazy<SchemaAST.Arrays, Tuple<Elements>> { constructor(_: never); readonly "~type.make": MakeIn_<Elements>; readonly "~type.make.in": MakeIn_<Elements>; readonly DecodingServices: DecodingServices<Elements>; readonly elements: Elements; readonly Encoded: Encoded_<Elements>; readonly EncodingServices: EncodingServices<Elements>; readonly Iso: Iso_<Elements>; readonly Type: Type_<Elements>; mapElements<To extends Elements>(f: (elements: Elements) => To, options?: { readonly unsafePreserveChecks?: boolean; }): Tuple<{ [K in string | number | symbol]: Readonly<To>[K] }>;}TupleWithRest interface
Type-level representation returned by TupleWithRest.
Signature
interface TupleWithRest<S extends TupleWithRest.TupleType, Rest extends TupleWithRest.Rest> extends BottomLazy<SchemaAST.Arrays, TupleWithRest<S, Rest>> { constructor(_: never); readonly "~type.make": MakeIn<S["~type.make"], Rest>; readonly "~type.make.in": MakeIn<S["~type.make"], Rest>; readonly DecodingServices: S["DecodingServices"] | Rest[number]["DecodingServices"]; readonly Encoded: Encoded<S["Encoded"], Rest>; readonly EncodingServices: S["EncodingServices"] | Rest[number]["EncodingServices"]; readonly Iso: Iso<S["Iso"], Rest>; readonly rest: Rest; readonly schema: S; readonly Type: Type<S["Type"], Rest>;}Uint8Array interface
Type-level representation of Uint8Array.
Signature
interface Uint8Array extends instanceOf<globalThis.Uint8Array<ArrayBufferLike>> { constructor(_: never); readonly Rebuild: Uint8Array;}Uint8ArrayFromBase64 interface
Type-level representation of Uint8ArrayFromBase64.
Signature
interface Uint8ArrayFromBase64 extends decodeTo<Uint8Array, String> { constructor(_: never); readonly Rebuild: Uint8ArrayFromBase64;}Uint8ArrayFromBase64Url interface
Type-level representation of Uint8ArrayFromBase64Url.
Signature
interface Uint8ArrayFromBase64Url extends decodeTo<Uint8Array, String> { constructor(_: never); readonly Rebuild: Uint8ArrayFromBase64Url;}Uint8ArrayFromHex interface
Type-level representation of Uint8ArrayFromHex.
Signature
interface Uint8ArrayFromHex extends decodeTo<Uint8Array, String> { constructor(_: never); readonly Rebuild: Uint8ArrayFromHex;}Type-level representation of Undefined.
Signature
interface Undefined extends Bottom<undefined, undefined, never, never, SchemaAST.Undefined, Undefined> { constructor(_: never);}UndefinedOr interface
Type-level representation returned by UndefinedOr.
Signature
interface UndefinedOr<S extends Constraint> extends Union<readonly [S, Undefined]> { constructor(_: never); readonly Rebuild: UndefinedOr<S>;}Type-level representation returned by Union.
Signature
interface Union<Members extends ReadonlyArray<Constraint>> extends BottomLazy<SchemaAST.Union<{ [K in keyof Members]: Members[K]["ast"] }[number]>, Union<Members>> { constructor(_: never); readonly "~type.make": { [K in string | number | symbol]: Members[K]["~type.make"] }[number]; readonly "~type.make.in": { [K in string | number | symbol]: Members[K]["~type.make"] }[number]; readonly DecodingServices: { [K in string | number | symbol]: Members[K]["DecodingServices"] }[number]; readonly Encoded: { [K in string | number | symbol]: Members[K]["Encoded"] }[number]; readonly EncodingServices: { [K in string | number | symbol]: Members[K]["EncodingServices"] }[number]; readonly Iso: { [K in string | number | symbol]: Members[K]["Iso"] }[number]; readonly members: Members; readonly Type: { [K in string | number | symbol]: Members[K]["Type"] }[number]; mapMembers<To extends readonly Array<Constraint>>(f: (members: Members) => To, options?: { readonly unsafePreserveChecks?: boolean; }): Union<{ [K in string | number | symbol]: Readonly<To>[K] }>;}UniqueArray interface
Type-level representation returned by UniqueArray.
Signature
interface UniqueArray<S extends Constraint> extends $Array<S> { constructor(_: never); readonly Rebuild: UniqueArray<S>;}UniqueSymbol interface
Type-level representation returned by UniqueSymbol.
Signature
interface UniqueSymbol<sym extends symbol> extends Bottom<sym, sym, never, never, SchemaAST.UniqueSymbol, UniqueSymbol<sym>> { constructor(_: never);}Type-level representation of Unknown.
Signature
interface Unknown extends Bottom<unknown, unknown, never, never, SchemaAST.Unknown, Unknown> { constructor(_: never);}Type-level representation of URL.
Signature
interface URL extends instanceOf<globalThis.URL> { constructor(_: never); readonly Rebuild: URL;}URLFromString interface
Type-level representation of URLFromString.
Signature
interface URLFromString extends decodeTo<URL, String> { constructor(_: never); readonly Rebuild: URLFromString;}URLSearchParams interface
Type-level representation of URLSearchParams.
Signature
interface URLSearchParams extends instanceOf<globalThis.URLSearchParams> { constructor(_: never); readonly Rebuild: URLSearchParams;}Type-level representation of Void.
Signature
interface Void extends Bottom<void, void, never, never, SchemaAST.Void, Void> { constructor(_: never);}WithoutConstructorDefault interface
Constraint used to ensure a schema field does not already have a constructor default.
Details
Only schemas that satisfy this constraint can be passed to withConstructorDefault.
Signature
interface WithoutConstructorDefault { readonly "~type.constructor.default": "no-default";}Options
DecodingDefaultOptions type
Options for withDecodingDefaultKey and withDecodingDefault.
Details
encodingStrategy:"passthrough"(default): pass the value through during encoding"omit": omit the key from the encoded output
Signature
type DecodingDefaultOptions = { readonly encodingStrategy?: "omit" | "passthrough";}ErrorOptions interface
Options for ErrorInstance and Defect.
Signature
interface ErrorOptions { readonly excludeCause?: boolean; readonly includeStack?: boolean;}MakeOptions interface
Options for makeEffect, make, and Class constructors.
When to use
Use when passing disableChecks: true to skip validation when you trust the data.
- Pass
parseOptionsto control error reporting behavior.
See
Signature
interface MakeOptions { readonly disableChecks?: boolean; readonly parseOptions?: ParseOptions;}ToJsonSchemaOptions interface
Options for reference allocation and JSON Schema generation in toJsonSchemaDocument.
Details
The inherited referencePolicy runs after the input schema is converted to its canonical JSON codec, so it receives
canonical JSON-encoded ASTs. The remaining options control compilation of the resulting live representation.
Gotchas
When these options are passed directly to SchemaRepresentation.toJsonSchemaDocument or
SchemaRepresentation.toJsonSchemaMultiDocument, reference allocation has already happened and referencePolicy
has no effect.
Signature
interface ToJsonSchemaOptions extends ToRepresentationOptions { readonly additionalProperties?: boolean | JsonSchema; readonly generateDescriptions?: boolean; readonly includeAnnotationKey?: (key: string) => boolean;}Other
Annotations
The Annotations namespace groups all annotation interfaces used to attach
metadata to schemas. Annotations control documentation, validation messages,
JSON Schema generation, equivalence, arbitrary generation, and more.
Details
Use resolveAnnotations to read the annotations attached to a schema at runtime.
Namespace of type-level helpers for Codec.
Namespace for Record type utilities.
Details
Record.Key— constraint for the key schema (must encode toPropertyKey)Record.Type<K, V>— decoded type of the recordRecord.Encoded<K, V>— encoded type of the record
Namespace of type-level helpers for Schema.
Namespace for struct field type utilities.
Details
These types compute the decoded Type, encoded Encoded, and constructor
input MakeIn of a Struct from its field map, handling optional,
mutable, and other field modifiers automatically.
Struct.Fields— constraint for the field map objectStruct.Type<F>— decoded type of the structStruct.Encoded<F>— encoded type of the structStruct.MakeIn<F>— constructor input (optional/defaulted fields may be omitted)Struct.DecodingServices<F>/Struct.EncodingServices<F>— required services
StructWithRest
Namespace for StructWithRest type utilities.
Details
StructWithRest.Type<S, R>— decoded type (struct type intersected with record types)StructWithRest.Encoded<S, R>— encoded type
TemplateLiteral
Namespace for TemplateLiteral helper types.
TemplateLiteralParser
Namespace for TemplateLiteralParser helper types.
Namespace for Tuple type utilities.
Details
Tuple.Elements— constraint for the element schema arrayTuple.Type<E>— decoded tuple typeTuple.Encoded<E>— encoded tuple typeTuple.MakeIn<E>— constructor input tuple
TupleWithRest
Namespace for TupleWithRest type utilities.
Details
TupleWithRest.TupleType— constraint for the leading tuple schemaTupleWithRest.Rest— the rest element schema(s)TupleWithRest.Type<T, R>— decoded type (fixed elements + rest)TupleWithRest.Encoded<T, R>— encoded type
Schemas
Schema for the any type. Accepts any value without validation.
See
- Unknown for a safer alternative that uses
unknown.
Signature
declare const Any: AnyBigDecimal
Schema for BigDecimal values.
When to use
Use when you already have Effect decimal instances and need schema validation, formatting, equivalence, and JSON string serialization.
Details
Default JSON serializer:
- encodes
BigDecimalas astring
See
- BigDecimalFromString for parsing string input into a BigDecimal
Signature
declare const BigDecimal: BigDecimalBigDecimalFromString
Schema that parses a string into a BigDecimal.
When to use
Use to parse decimal or exponent-notation strings into arbitrary-precision BigDecimal values while encoding them back to strings.
Details
Decoding:
- A
stringis decoded withBigDecimal.fromString.
Encoding:
- A
BigDecimalis encoded withBigDecimal.format.
Gotchas
An empty string decodes as zero.
See
- BigDecimal for validating values that are already BigDecimal values
- BigIntFromString for parsing base-10 integer strings into bigint values
- NumberFromString for parsing JavaScript number strings
Signature
declare const BigDecimalFromString: BigDecimalFromStringBigDecimalReviver
Reviver for persisted BigDecimal declarations.
When to use
Use when reconstructing documents that may contain the BigDecimal schema.
See
- BigDecimal for the corresponding schema
Signature
declare const BigDecimalReviver: DeclarationReviver<null>Schema for bigint values. Validates that the input is typeof "bigint".
When to use
Use when the input is already a bigint and the schema should validate and preserve bigint values without parsing from another representation.
See
- BigIntFromString for parsing string input into a bigint
Signature
declare const BigInt: BigIntBigIntFromString
Schema that parses a string into a bigint.
When to use
Use to parse signed base-10 integer strings into bigint values while encoding bigint values back to decimal strings.
Details
Decoding:
- A
stringis decoded as abigint.
Encoding:
- A
bigintis encoded as astring.
Gotchas
Decoding accepts only strings matching ^-?\d+$.
See
- isStringBigInt for the string predicate used by this schema
- BigInt for validating values that are already bigint values
- NumberFromString for parsing JavaScript number strings, including non-finite values
- BigDecimalFromString for parsing decimal number strings
Signature
declare const BigIntFromString: BigIntFromStringSchema for boolean values. Validates that the input is typeof "boolean".
When to use
Use to validate values that are already JavaScript booleans.
See
- BooleanFromBit for a schema that decodes bit literals
0or1into a boolean
Signature
declare const Boolean: BooleanBooleanFromBit
Schema for a boolean parsed from 0 or 1.
When to use
Use when decoding data sources that represent booleans as 0 | 1 while
keeping boolean values in the decoded model.
Details
Decoding accepts only 0 | 1, maps 1 to true, and maps 0 to false.
Encoding maps true to 1 and false to 0.
See
Signature
declare const BooleanFromBit: BooleanFromBitCreates a schema for Cause values using separate schemas for typed failures
and unexpected defects.
When to use
Use to validate, transform, or serialize Effect failure causes when typed failures and unexpected defects need separate schemas.
Details
The error schema is applied to Fail reasons and the defect schema is
applied to Die reasons. Interrupt reasons do not use either schema and
carry only an optional fiber id.
See
- CauseReason for the schema used by each individual cause reason
- CauseIso for the ordered array representation used by the schema ISO
Signature
declare function Cause<E extends Constraint, D extends Constraint>(error: E, defect: D): Cause<E, D>CauseReason
Creates a schema for Cause.Reason values using separate schemas for typed
failures and unexpected defects.
When to use
Use when serializing or decoding individual cause reasons separately from a full failure cause, with distinct schemas for typed errors and defects.
Details
Fail reasons use the error schema, Die reasons use the defect schema,
and Interrupt reasons carry only an optional fiber id.
See
- Cause for constructing schemas for full Cause values
- CauseReasonIso for the ISO shape of each cause reason
Signature
declare function CauseReason<E extends Constraint, D extends Constraint>(error: E, defect: D): CauseReason<E, D>CauseReasonReviver
Reviver for persisted CauseReason declarations.
When to use
Use when reconstructing documents that may contain schemas created by CauseReason.
See
- CauseReason for creating the corresponding schema
Signature
declare const CauseReasonReviver: DeclarationReviver<null>CauseReviver
Reviver for persisted Cause declarations.
When to use
Use when reconstructing documents that may contain schemas created by Cause.
See
- Cause for creating the corresponding schema
Signature
declare const CauseReviver: DeclarationReviver<null>Schema for strings whose JavaScript length is exactly 1.
When to use
Use to validate string values that must have length === 1.
Gotchas
This schema uses JavaScript String.length, so visible characters made from
multiple UTF-16 code units do not satisfy length === 1.
See
- String for unconstrained string values
- NonEmptyString for strings with length greater than zero
- isLengthBetween for the underlying length check
Signature
declare const Char: CharSchema for chunks whose values conform to the provided element schema.
Signature
declare function Chunk<Value extends Constraint>(value: Value): Chunk<Value>ChunkReviver
Reviver for persisted Chunk declarations.
When to use
Use when reconstructing documents that may contain schemas created by Chunk.
See
- Chunk for creating the corresponding schema
Signature
declare const ChunkReviver: DeclarationReviver<null>Schema for valid JavaScript Date objects.
When to use
Use to validate in-memory values that must already be valid JavaScript date objects.
Details
This schema accepts Date instances whose timestamp is not NaN. The
default JSON serializer encodes dates as ISO 8601 strings.
See
- DateFromString for decoding strings into Date instances
- DateFromMillis for decoding epoch milliseconds into Date instances
Signature
declare const Date: DateExample
(Defining a Date schema)
import { Schema } from "effect"
const date = Schema.decodeUnknownSync(Schema.Date)(new Date("2024-01-01"))date.toISOString() // => "2024-01-01T00:00:00.000Z"DateFromMillis
Schema that decodes epoch milliseconds into a JavaScript Date.
When to use
Use to model numeric millisecond timestamps that decode to JavaScript Date
objects and encode back to numbers.
Details
Decoding:
A safe integer number of milliseconds since the Unix epoch is decoded as a
Date.
Encoding:
A Date is encoded as its millisecond timestamp.
Gotchas
JavaScript Date supports a narrower range than safe integers, so integers
outside the supported Date range fail decoding.
See
- DateFromString for decoding string-encoded dates
- DateTimeUtcFromMillis for decoding epoch milliseconds into UTC values
Signature
declare const DateFromMillis: DateFromMillisDateFromString
Schema that decodes a string into a JavaScript Date.
When to use
Use to model string-encoded dates that decode to JavaScript Date objects
and encode back to strings.
Details
Decoding:
The string is passed to JavaScript Date construction.
Encoding:
A Date is encoded as an ISO string.
Invalid date strings fail decoding.
See
- DateFromMillis for decoding epoch milliseconds into Date instances
- DateTimeUtcFromString for decoding date-time strings into UTC values
- Date for accepting Date instances directly
Signature
declare const DateFromString: DateFromStringDateReviver
Reviver for persisted Date declarations.
When to use
Use when reconstructing documents that may contain the Date schema.
See
- Date for the corresponding schema
Signature
declare const DateReviver: DeclarationReviver<null>DateTimeUtc
Schema for DateTime.Utc values.
When to use
Use to validate existing DateTime.Utc schema values and use the default JSON
codec that represents them as UTC ISO strings.
Details
The default JSON codec decodes UTC ISO strings into DateTime.Utc values and
encodes DateTime.Utc values as UTC ISO strings.
See
- DateTimeUtcFromString for decoding date-time strings into UTC values
- DateTimeUtcFromDate for decoding JavaScript Date values into UTC values
- DateTimeUtcFromMillis for decoding epoch milliseconds into UTC values
- DateTimeZoned for preserving zoned DateTime values
Signature
declare const DateTimeUtc: DateTimeUtcDateTimeUtcFromDate
Schema that decodes a Date into a DateTime.Utc.
When to use
Use when you need to decode valid JavaScript Date objects into
DateTime.Utc values.
Details
Decoding:
- A valid
Dateis decoded as aDateTime.Utc
Encoding:
- A
DateTime.Utcis encoded as aDate
See
- DateTimeUtc for validating values that are already
DateTime.Utc - DateTimeUtcFromString for decoding date-time strings into UTC values
- DateTimeUtcFromMillis for decoding epoch milliseconds into UTC values
- Date for validating Date instances without converting them
Signature
declare const DateTimeUtcFromDate: DateTimeUtcFromDateDateTimeUtcFromMillis
Schema that decodes a number into a DateTime.Utc.
Details
Decoding:
- A number of milliseconds since the Unix epoch is decoded as a
DateTime.Utc
Encoding:
- A
DateTime.Utcis encoded as a number of milliseconds since the Unix epoch.
See
- DateTimeUtcFromDate for decoding JavaScript Date values into UTC values
- DateTimeUtcFromString for decoding date-time strings into UTC values
- DateFromMillis for decoding epoch milliseconds into JavaScript Date instances
Signature
declare const DateTimeUtcFromMillis: DateTimeUtcFromMillisDateTimeUtcFromString
Schema that decodes a date-time string into a DateTime.Utc.
Details
Decoding:
- A string accepted by
DateTime.makeis parsed and normalized to UTC. Strings without an explicit zone are interpreted as UTC.
Encoding:
- A
DateTime.Utcis encoded as a UTC ISO 8601 string.
See
- DateTimeUtcFromDate for decoding JavaScript Date values into UTC values
- DateTimeUtcFromMillis for decoding epoch milliseconds into UTC values
- DateFromString for decoding strings into JavaScript Date instances
Signature
declare const DateTimeUtcFromString: DateTimeUtcFromStringDateTimeUtcReviver
Reviver for persisted DateTimeUtc declarations.
When to use
Use when reconstructing documents that may contain the DateTimeUtc schema.
See
- DateTimeUtc for the corresponding schema
Signature
declare const DateTimeUtcReviver: DeclarationReviver<null>DateTimeZoned
Schema for DateTime.Zoned values.
Details
Default JSON serializer:
- encodes offset zones as an ISO date-time with a numeric offset, such as
YYYY-MM-DDTHH:mm:ss.sss+HH:MM - encodes named zones by appending the IANA identifier in brackets, such as
YYYY-MM-DDTHH:mm:ss.sss+HH:MM[Time/Zone]
Signature
declare const DateTimeZoned: DateTimeZonedDateTimeZonedFromString
Schema that parses a zoned DateTime string into a DateTime.Zoned.
Details
Decoding:
- A
string(e.g.2024-01-01T00:00:00.000+00:00[Europe/London]) is decoded as aDateTime.Zoned.
Encoding:
- A
DateTime.Zonedis encoded as astring.
Signature
declare const DateTimeZonedFromString: DateTimeZonedFromStringDateTimeZonedReviver
Reviver for persisted DateTimeZoned declarations.
When to use
Use when reconstructing documents that may contain the DateTimeZoned schema.
See
- DateTimeZoned for the corresponding schema
Signature
declare const DateTimeZonedReviver: DeclarationReviver<null>Schema for unexpected defect values represented as unknown with a JSON
encoded form.
When to use
Use when you need a schema for Cause defects or other unexpected failures
whose runtime value may be any value.
Details
The encoded side is Json. During decoding, JSON objects with a string
message property are decoded into JavaScript Error values, preserving a
non-default name and any string stack. Other JSON values decode
unchanged.
During encoding, JavaScript Error values encode to JSON objects with
name, message, and optional cause properties. Pass
{ includeStack: true } to include string stack traces in encoded Error
defects, or { excludeCause: true } to omit causes. Other values are
serialized through Effect's JSON formatter and then parsed back into JSON
when possible.
Gotchas
This schema is for carrying defects across JSON boundaries, not for preserving every JavaScript value exactly. Some values cannot round-trip unchanged:
- A non-
Errorobject such as{ message: "boom" }encodes as an error-shaped JSON object and decodes back as anError. - JSON serialization normalizes unsupported values. For example,
undefinedarray elements encode asnull, unsupported object properties are omitted, and circular references are dropped. - Values that cannot be represented as JSON fall back to Effect's formatted string representation.
See
- ErrorInstance for a schema that only accepts JavaScript
Errorvalues.
Signature
declare function Defect(options?: ErrorOptions): DefectSchema for Duration values.
Details
The default JSON serializer encodes Duration as a tagged object with the
duration type and value.
Signature
declare const Duration: DurationExample
(Defining a Duration schema)
import { Duration, Schema } from "effect"
Schema.decodeUnknownSync(Schema.Duration)(Duration.seconds(5)) // => Duration.seconds(5)DurationFromMillis
Schema that decodes a number into a Duration, treating the number as
milliseconds.
Details
Decoding:
- A finite or infinite number is decoded as a
Duration
Encoding:
- A
Durationis encoded to a finite or infinite number of milliseconds
Gotchas
NaN is decoded as Duration.zero, matching Duration.millis.
Signature
declare const DurationFromMillis: DurationFromMillisDurationFromNanos
Schema that decodes a bigint into a Duration, treating the bigint as
nanoseconds.
Details
Decoding:
A bigint representing nanoseconds is decoded as a Duration.
Encoding:
Finite durations are encoded as a bigint number of nanoseconds. Encoding
fails when the duration cannot be represented as nanoseconds, such as
Duration.infinity or Duration.negativeInfinity.
Signature
declare const DurationFromNanos: DurationFromNanosDurationFromString
Schema that parses a string into a Duration.
Details
Decoding:
- A
stringis decoded as aDuration, accepting any format thatDuration.fromInputcan parse.
Encoding:
- A
Durationis encoded as a parseablestring.
Signature
declare const DurationFromString: DurationFromStringDurationReviver
Reviver for persisted Duration declarations.
When to use
Use when reconstructing documents that may contain the Duration schema.
See
- Duration for the corresponding schema
Signature
declare const DurationReviver: DeclarationReviver<null>ErrorInstance
Schema for JavaScript Error objects.
Details
Default JSON serializer:
Encodes an Error as an object with message, optional name, and optional
cause properties, and decodes that object back into an Error. Stack
traces are omitted by default for security. Pass { includeStack: true } to
include stack traces, or { excludeCause: true } to omit causes.
Signature
declare function ErrorInstance(options?: ErrorOptions): ErrorInstanceErrorInstanceReviver
Reviver for persisted ErrorInstance declarations.
When to use
Use when reconstructing documents that may contain schemas created by ErrorInstance.
See
- ErrorInstance for creating the corresponding schema
Signature
declare const ErrorInstanceReviver: DeclarationReviver<ErrorRepresentationPayload>Creates a schema for Exit values using schemas for the success value, typed
failure, and unexpected defect channels.
When to use
Use when serializing or validating an effect outcome where success, typed failure, and defects each need their own schema.
Signature
declare function Exit<A extends Constraint, E extends Constraint, D extends Constraint>(value: A, error: E, defect: D): Exit<A, E, D>ExitReviver
Reviver for persisted Exit declarations.
When to use
Use when reconstructing documents that may contain schemas created by Exit.
See
- Exit for creating the corresponding schema
Signature
declare const ExitReviver: DeclarationReviver<null>Schema for JavaScript File objects.
Details
The default JSON serializer encodes a File as { data, type, name, lastModified }
where data is base64-encoded.
Signature
declare const File: FileFileReviver
Reviver for persisted File declarations.
When to use
Use when reconstructing documents that may contain the File schema.
See
- File for the corresponding schema
Signature
declare const FileReviver: DeclarationReviver<null>Schema for finite numbers, rejecting NaN, Infinity, and -Infinity.
Signature
declare const Finite: FiniteFiniteFromString
Schema that parses a string into a finite number.
Details
Decoding:
- A
stringis decoded as a finite number, rejectingNaN,Infinity, and-Infinityvalues.
Encoding:
- A finite number is encoded as a
string.
Signature
declare const FiniteFromString: FiniteFromStringSchema for JavaScript FormData objects.
Details
The default JSON serializer encodes a FormData as an array of [key, entry]
pairs where each entry is tagged as "String" or "File".
Signature
declare const FormData: FormDataFormDataReviver
Reviver for persisted FormData declarations.
When to use
Use when reconstructing documents that may contain the FormData schema.
See
- FormData for the corresponding schema
Signature
declare const FormDataReviver: DeclarationReviver<null>fromJsonString
Returns a schema that decodes a JSON string and then decodes the parsed value using the given schema.
Details
This is useful when working with JSON-encoded strings where the actual structure of the value is known and described by an existing schema.
During decoding, the resulting schema first parses the input string as JSON,
using reviver when provided, and then runs the provided schema on the
parsed result. During encoding, it first encodes with the provided schema and
then passes the result to JSON.stringify with the optional replacer and
space.
Signature
declare function fromJsonString<S extends Constraint>(schema: S, options?: { readonly replacer?: JsonReplacer; readonly reviver?: (this: any, key: string, value: any) => any; readonly space?: string | number;}): fromJsonString<S>Example
(Formatting encoded JSON)
import { Schema } from "effect"
const schema = Schema.Struct({ a: Schema.Number })const schemaFromJsonString = Schema.fromJsonString(schema, { space: 2 })
Schema.encodeSync(schemaFromJsonString)({ a: 1 }) // => "{\n \"a\": 1\n}"Creates a schema for immutable directed or undirected Effect graphs.
Encoding preserves active node and edge indexes, payloads, endpoints,
isolated nodes, self-loops, parallel edges, and stored edge orientation. It
does not encode removed-ID allocator history; after decoding, future allocation starts
after the highest active decoded index. Encoding rejects mutable graphs.
Graph.toJSON() remains an inspection summary and is not this wire format.
Signature
declare function Graph<Node extends Constraint, Edge extends Constraint>(type: "directed", node: Node, edge: Edge): Graph<"directed", Node, Edge>declare function Graph<Node extends Constraint, Edge extends Constraint>(type: "undirected", node: Node, edge: Edge): Graph<"undirected", Node, Edge>declare function Graph<T extends Kind, Node extends Constraint, Edge extends Constraint>(type: T, node: Node, edge: Edge): Graph<T, Node, Edge>Example
(Encoding a directed graph as JSON)
import { Graph, Schema } from "effect"
const codec = Schema.toCodecJson(Schema.Graph("directed", Schema.String, Schema.Number))const graph = Graph.directed<string, number>((mutable) => { const source = Graph.addNode(mutable, "A") const target = Graph.addNode(mutable, "B") Graph.addEdge(mutable, source, target, 1)})
const encoded = Schema.encodeSync(codec)(graph)
encoded.type // => "directed"encoded.nodes // => [{ index: 0, data: "A" }, { index: 1, data: "B" }]encoded.edges // => [{ index: 0, source: 0, target: 1, data: 1 }]GraphReviver
Reviver for persisted Graph declarations.
Signature
declare const GraphReviver: DeclarationReviver<"directed" | "undirected">Schema for hash maps whose keys and values conform to the provided schemas.
Signature
declare function HashMap<Key extends Constraint, Value extends Constraint>(key: Key, value: Value): HashMap<Key, Value>HashMapReviver
Reviver for persisted HashMap declarations.
When to use
Use when reconstructing documents that may contain schemas created by HashMap.
See
- HashMap for creating the corresponding schema
Signature
declare const HashMapReviver: DeclarationReviver<null>Schema for hash sets whose values conform to the provided element schema.
Signature
declare function HashSet<Value extends Constraint>(value: Value): HashSet<Value>HashSetReviver
Reviver for persisted HashSet declarations.
When to use
Use when reconstructing documents that may contain schemas created by HashSet.
See
- HashSet for creating the corresponding schema
Signature
declare const HashSetReviver: DeclarationReviver<null>Schema for integers, rejecting NaN, Infinity, and -Infinity.
Signature
declare const Int: IntSchema that accepts and validates any immutable JSON-compatible value.
Signature
declare const Json: Codec<Json, Json, never, never>Example
(Validating a JSON value)
import { Option, Schema } from "effect"
Schema.decodeUnknownOption(Schema.Json)({ key: [1, true, null] }) // => Option.some({ key: [1, true, null] })JsonObject
Schema for readonly string-keyed records whose values are JSON-compatible.
When to use
Use when you need to validate a JSON object rather than any JSON value.
See
- Json for a schema that also accepts JSON arrays and primitive values
Signature
declare const JsonObject: $Record<String, Codec<Json, Json, never, never>>Example
(Validating a JSON object)
import { Option, Schema } from "effect"
Schema.decodeUnknownOption(Schema.JsonObject)({ key: [1, true, null] }) // => Option.some({ key: [1, true, null] })Schema.decodeUnknownOption(Schema.JsonObject)([1, 2, 3]) // => Option.none()JsonReviver
Reviver for persisted Json declarations.
When to use
Use when reconstructing documents that may contain the Json schema.
See
- Json for the corresponding immutable JSON schema
Signature
declare const JsonReviver: DeclarationReviver<null>MutableJson
Schema that accepts any mutable JSON-compatible value. See Json for the immutable variant.
Signature
declare const MutableJson: Codec<MutableJson, MutableJson, never, never>MutableJsonReviver
Reviver for persisted MutableJson declarations.
When to use
Use when reconstructing documents that may contain the MutableJson schema.
See
- MutableJson for the corresponding mutable JSON schema
Signature
declare const MutableJsonReviver: DeclarationReviver<null>Schema for non-negative safe integers, including zero.
When to use
Use when you need a count, index, or size that cannot be negative.
See
- Int for safe integers that may be negative
Signature
declare const Natural: NaturalSchema for the never type. Always fails validation — no value satisfies it.
Signature
declare const Never: NeverNonEmptyString
Schema for non-empty strings. Validates that a string has at least one character.
Signature
declare const NonEmptyString: NonEmptyStringSchema for the null literal. Validates that the input is strictly null.
See
- NullOr for a union with another schema.
Signature
declare const Null: NullSchema for number values, including NaN, Infinity, and -Infinity.
Details
Default JSON serializer:
- Finite numbers are serialized as numbers.
- Non-finite values are serialized as strings (
"NaN","Infinity","-Infinity").
See
- Finite for a schema that excludes non-finite values.
Signature
declare const Number: NumberNumberFromString
Schema that parses a string into a number using JavaScript
number coercion.
Details
Decoding:
A string is decoded as a number, including possible non-finite values such as
NaN, Infinity, and -Infinity. Use FiniteFromString to reject non-finite
numbers.
Encoding:
A number is encoded as a string.
Signature
declare const NumberFromString: NumberFromStringObjectKeyword
Schema for the object type. Validates that the input is a non-null object or function
(i.e. typeof value === "object" && value !== null || typeof value === "function").
Signature
declare const ObjectKeyword: ObjectKeywordSchema for Option<A> values.
Signature
declare function Option<A extends Constraint>(value: A): Option<A>OptionFromNullishOr
Decodes a nullish value T to a required Option<T> value.
Details
Decoding maps null and undefined to None and all other values to
Some. Encoding maps None to null or undefined depending on
options.onNoneEncoding, which defaults to undefined, and maps Some to
its value.
Signature
declare function OptionFromNullishOr<S extends Constraint>(schema: S, options?: { onNoneEncoding: null | undefined;}): OptionFromNullishOr<S>OptionFromNullOr
Decodes a nullable, required value T to a required Option<T> value.
Details
Decoding maps null to None and all other values to Some. Encoding maps
None to null and maps Some to its value.
Signature
declare function OptionFromNullOr<S extends Constraint>(schema: S): OptionFromNullOr<S>OptionFromOptional
Decodes an optional or undefined value A to a required Option<A>
value.
Details
Decoding maps a missing key or a present undefined value to None, and
maps all other values to Some. Encoding maps None to a missing key and
maps Some to its value.
Signature
declare function OptionFromOptional<S extends Constraint>(schema: S): OptionFromOptional<S>OptionFromOptionalKey
Decodes an optional value A to a required Option<A> value.
Details
Decoding maps a missing key to None and a present value to Some.
Encoding maps None to a missing key and maps Some to its value.
Signature
declare function OptionFromOptionalKey<S extends Constraint>(schema: S): OptionFromOptionalKey<S>OptionFromOptionalNullOr
Decodes an optional or null or undefined value A to a required Option<A>
value.
Details
Decoding maps a missing key, undefined, or null to None, and maps all
other values to Some. Encoding maps Some to its value. None is encoded
according to options.onNoneEncoding: "omit" encodes a missing key,
null encodes null, and undefined encodes undefined.
Signature
declare function OptionFromOptionalNullOr<S extends Constraint>(schema: S, options?: { readonly onNoneEncoding: "omit" | null | undefined;}): OptionFromOptionalNullOr<S>OptionFromUndefinedOr
Decodes a required value that may be undefined to a required Option<T>
value.
Details
Decoding maps undefined to None and all other values to Some. Encoding
maps None to undefined and maps Some to its value.
Signature
declare function OptionFromUndefinedOr<S extends Constraint>(schema: S): OptionFromUndefinedOr<S>OptionReviver
Reviver for persisted Option declarations.
When to use
Use when reconstructing documents that may contain schemas created by Option.
See
- Option for creating the corresponding schema
Signature
declare const OptionReviver: DeclarationReviver<null>PropertyKey
Schema for property keys accepted by Effect schemas: finite number,
symbol, or string.
Signature
declare const PropertyKey: Union<readonly [Finite, Symbol, String]>ReadonlyMap
Schema for readonly maps whose keys and values conform to the provided schemas.
Signature
declare function ReadonlyMap<Key extends Constraint, Value extends Constraint>(key: Key, value: Value): $ReadonlyMap<Key, Value>ReadonlyMapReviver
Reviver for persisted ReadonlyMap declarations.
When to use
Use when reconstructing documents that may contain schemas created by ReadonlyMap.
See
- ReadonlyMap for creating the corresponding schema
Signature
declare const ReadonlyMapReviver: DeclarationReviver<null>ReadonlySet
Schema for readonly sets whose values conform to the provided element schema.
Signature
declare function ReadonlySet<Value extends Constraint>(value: Value): $ReadonlySet<Value>ReadonlySetReviver
Reviver for persisted ReadonlySet declarations.
When to use
Use when reconstructing documents that may contain schemas created by ReadonlySet.
See
- ReadonlySet for creating the corresponding schema
Signature
declare const ReadonlySetReviver: DeclarationReviver<null>Schema for Redacted values, which hide their contents from inspection.
Options:
label: When provided, the schema will behave as follows:- Values will be validated against the label in addition to the wrapped schema
- The default JSON serializer will deserialize into a
Redactedinstance with the label - The arbitrary generator will produce a
Redactedinstance with the label - The formatter will return the label
disallowJsonEncode: When set totrue, when attempting to encode aRedactedinstance into JSON, it will fail with an error. This is useful when the wrapped schema is sensitive and should not be exposed in JSON.
See
- RedactedFromValue for decoding raw values and wrapping them in
Redacted.
Signature
declare function Redacted<S extends Constraint>(value: S, options?: { readonly disallowJsonEncode?: boolean; readonly label?: string;}): Redacted<S>RedactedFromValue
Decodes a value and wraps it in Redacted<A>. Unlike Redacted which
expects the input to already be a Redacted instance, this schema decodes
the raw value and wraps it.
See
- Redacted for schemas whose input is already a
Redactedvalue.
Signature
declare function RedactedFromValue<S extends Constraint>(value: S, options?: { readonly disallowEncode?: boolean; readonly label?: string;}): RedactedFromValue<S>RedactedReviver
Reviver for persisted Redacted declarations.
When to use
Use when reconstructing documents that may contain schemas created by Redacted.
See
- Redacted for creating the corresponding schema
Signature
declare const RedactedReviver: DeclarationReviver<RedactedRepresentationPayload>Schema for JavaScript RegExp objects.
Details
The default JSON serializer encodes a RegExp as { source, flags }.
Signature
declare const RegExp: RegExpRegExpReviver
Reviver for persisted RegExp declarations.
When to use
Use when reconstructing documents that may contain the RegExp schema.
See
- RegExp for the corresponding schema
Signature
declare const RegExpReviver: DeclarationReviver<null>Schema for Result<A, E> values.
Signature
declare function Result<A extends Constraint, E extends Constraint>(success: A, failure: E): Result<A, E>ResultReviver
Reviver for persisted Result declarations.
When to use
Use when reconstructing documents that may contain schemas created by Result.
See
- Result for creating the corresponding schema
Signature
declare const ResultReviver: DeclarationReviver<null>StandardSchemaV1FailureResult
Schema for a Standard Schema v1 failure result.
Details
The result contains an issues array where each issue has a message and an
optional path made of property keys or keyed path segments.
Signature
declare const StandardSchemaV1FailureResult: Struct<{ readonly issues: $Array<Struct<{ readonly message: String; readonly path: optional<$Array<Union<readonly [Union<readonly [..., ..., ...]>, Struct<{ readonly key: ...; }>]>>>; }>>;}>Schema for string values. Validates that the input is typeof "string".
Signature
declare const String: StringStringFromBase64
Decodes a base64 (RFC4648) encoded string into a UTF-8 string.
Details
Decoding:
- A valid base64 encoded string is decoded as a UTF-8
string.
Encoding:
- A
stringis encoded as a base64-encoded string.
Signature
declare const StringFromBase64: StringFromBase64StringFromBase64Url
Decodes a base64 (URL) encoded string into a UTF-8 string.
Details
Decoding:
- A valid base64 (URL) encoded string is decoded as a UTF-8
string.
Encoding:
- A
stringis encoded as a base64 (URL) encoded string.
Signature
declare const StringFromBase64Url: StringFromBase64UrlStringFromHex
Decodes a hex encoded string into a UTF-8 string.
Details
Decoding:
- A valid hex encoded string is decoded as a UTF-8
string.
Encoding:
- A
stringis encoded as a hex string.
Signature
declare const StringFromHex: StringFromHexStringFromUriComponent
Decodes a URI component encoded string into a UTF-8 string. Can be used to store data in a URL.
Details
Decoding:
- A valid URI component encoded string is decoded as a UTF-8
string.
Encoding:
- A
stringis encoded as a URI component encoded string.
Signature
declare const StringFromUriComponent: StringFromUriComponentExample
(Decoding URI component strings)
import { Schema } from "effect"
const PaginationSchema = Schema.Struct({ maxItemPerPage: Schema.Number, page: Schema.Number})
const UrlSchema = Schema.StringFromUriComponent.pipe( Schema.decodeTo(Schema.fromJsonString(PaginationSchema)))
Schema.encodeSync(UrlSchema)({ maxItemPerPage: 10, page: 1 }) // => "%7B%22maxItemPerPage%22%3A10%2C%22page%22%3A1%7D"Schema for symbol values. Validates that the input is typeof "symbol".
See
- UniqueSymbol for a schema that matches a specific symbol.
Signature
declare const Symbol: SymbolSchema for DateTime.TimeZone values.
Details
Default JSON serializer:
- encodes
DateTime.TimeZoneas a string (IANA identifier or offset like+03:00)
Signature
declare const TimeZone: TimeZoneTimeZoneFromString
Schema that parses a time zone string into a DateTime.TimeZone.
Details
Decoding:
- A
string(IANA identifier or offset like+03:00) is decoded as aDateTime.TimeZone.
Encoding:
- A
DateTime.TimeZoneis encoded as astring.
Signature
declare const TimeZoneFromString: TimeZoneFromStringTimeZoneNamed
Schema for DateTime.TimeZone.Named values.
Details
Default JSON serializer:
- encodes
DateTime.TimeZone.Namedas a string (IANA time zone identifier)
Signature
declare const TimeZoneNamed: TimeZoneNamedTimeZoneNamedFromString
Schema that parses an IANA time zone identifier string into a DateTime.TimeZone.Named.
Details
Decoding:
- A
stringis decoded as aDateTime.TimeZone.Named.
Encoding:
- A
DateTime.TimeZone.Namedis encoded as astring.
Signature
declare const TimeZoneNamedFromString: TimeZoneNamedFromStringTimeZoneNamedReviver
Reviver for persisted TimeZoneNamed declarations.
When to use
Use when reconstructing documents that may contain the TimeZoneNamed schema.
See
- TimeZoneNamed for the corresponding schema
Signature
declare const TimeZoneNamedReviver: DeclarationReviver<null>TimeZoneOffset
Schema for DateTime.TimeZone.Offset values.
Details
Default JSON serializer:
- encodes
DateTime.TimeZone.Offsetas a number (offset in milliseconds)
Signature
declare const TimeZoneOffset: TimeZoneOffsetTimeZoneOffsetReviver
Reviver for persisted TimeZoneOffset declarations.
When to use
Use when reconstructing documents that may contain the TimeZoneOffset schema.
See
- TimeZoneOffset for the corresponding schema
Signature
declare const TimeZoneOffsetReviver: DeclarationReviver<null>TimeZoneReviver
Reviver for persisted TimeZone declarations.
When to use
Use when reconstructing documents that may contain the TimeZone schema.
See
- TimeZone for the corresponding schema
Signature
declare const TimeZoneReviver: DeclarationReviver<null>Creates a recursive schema for a Tree of values described by node.
The resulting schema accepts a single node value, an array of trees, or an
object whose values are trees.
Signature
declare function Tree<S extends Constraint>(node: S): Union<readonly [S, $Array<suspend<Codec<Tree<S["Type"]>, Tree<S["Encoded"]>, S["DecodingServices"], S["EncodingServices"]>>>, $Record<String, suspend<Codec<Tree<S["Type"]>, Tree<S["Encoded"]>, S["DecodingServices"], S["EncodingServices"]>>>]>Schema that trims whitespace from a string.
Details
Decoding:
- A
stringis decoded as a string with no leading or trailing whitespaces.
Encoding:
- The trimmed string is encoded as is.
Signature
declare const Trim: TrimSchema for strings that contains no leading or trailing whitespaces.
Signature
declare const Trimmed: TrimmedUint8Array
Schema for JavaScript Uint8Array objects.
Details
Default JSON serializer:
The default JSON serializer encodes Uint8Array as a Base64 encoded string.
Signature
declare const Uint8Array: Uint8ArrayUint8ArrayFromBase64
Schema that decodes a base64 encoded string into a
Uint8Array.
Details
Decoding:
- A valid base64 encoded string is decoded as a
Uint8Array.
Encoding:
- A
Uint8Arrayis encoded as a base64-encoded string.
Signature
declare const Uint8ArrayFromBase64: Uint8ArrayFromBase64Uint8ArrayFromBase64Url
Schema that decodes a base64 (URL) encoded string into a
Uint8Array.
Details
Decoding:
- A valid base64 (URL) encoded string is decoded as a
Uint8Array.
Encoding:
- A
Uint8Arrayis encoded as a base64 (URL) encoded string.
Signature
declare const Uint8ArrayFromBase64Url: Uint8ArrayFromBase64UrlUint8ArrayFromHex
Schema that decodes a hex encoded string into a
Uint8Array.
Details
Decoding:
- A valid hex encoded string is decoded as a
Uint8Array.
Encoding:
- A
Uint8Arrayis encoded as a hex encoded string.
Signature
declare const Uint8ArrayFromHex: Uint8ArrayFromHexUint8ArrayReviver
Reviver for persisted Uint8Array declarations.
When to use
Use when reconstructing documents that may contain the Uint8Array schema.
See
- Uint8Array for the corresponding schema
Signature
declare const Uint8ArrayReviver: DeclarationReviver<null>Schema for the undefined literal. Validates that the input is strictly undefined.
See
- UndefinedOr for a union with another schema.
Signature
declare const Undefined: UndefinedSchema for the unknown type. Accepts any value without validation.
When to use
Use as a top schema when you need to accept any input while preserving
TypeScript's unknown safety at use sites.
See
- Any for the
anyvariant.
Signature
declare const Unknown: UnknownSchema for JavaScript URL objects.
Details
Default JSON serializer:
- encodes
URLas astring
Signature
declare const URL: URLURLFromString
Schema that decodes a string into a URL.
Details
Decoding:
- A valid URL
stringis decoded as aURL
Encoding:
- A
URLis encoded as astring
Signature
declare const URLFromString: URLFromStringURLReviver
Reviver for persisted URL declarations.
When to use
Use when reconstructing documents that may contain the URL schema.
See
- URL for the corresponding schema
Signature
declare const URLReviver: DeclarationReviver<null>URLSearchParams
Schema for JavaScript URLSearchParams objects.
Details
The default JSON serializer encodes a URLSearchParams as a query string.
Signature
declare const URLSearchParams: URLSearchParamsURLSearchParamsReviver
Reviver for persisted URLSearchParams declarations.
When to use
Use when reconstructing documents that may contain the URLSearchParams schema.
See
- URLSearchParams for the corresponding schema
Signature
declare const URLSearchParamsReviver: DeclarationReviver<null>Schema for a TypeScript void return value.
When to use
Use when you need to model the return value of a function, RPC, or endpoint whose result is intentionally ignored.
Details
Runtime parsing accepts any present value and discards it, producing
undefined. The public decoded and encoded TypeScript representation remains
void, so typed construction, decoding, and encoding APIs are still modeled
as void.
See
- Undefined for a schema that matches only the exact
undefinedvalue.
Signature
declare const Void: VoidTransforming
Type-level representation returned by decodeTo without a custom transformation.
Signature
interface compose<To extends Constraint, From extends Constraint> extends decodeTo<To, From> { constructor(_: never);}Applies a transformation to a schema, creating a new schema with the same type but transformed encoding/decoding.
When to use
Use when the decoded type stays the same and the transformation only normalizes values during encoding and decoding.
Details
Call it with a transformation object and then pipe a schema into the returned
function. The resulting schema keeps the same Type and Encoded types as
the source schema, while applying the transformation during both decoding and
encoding.
Internally this uses toType(self) as the target schema and combines service
requirements from the source schema and the transformation.
Gotchas
Use decodeTo instead when the transformation should change the
decoded type. For this helper, both transformation getters operate on
S["Type"] values.
Signature
declare function decode<S extends Constraint, RD = never, RE = never>(transformation: { readonly decode: Getter<S["Type"], S["Type"], RD>; readonly encode: Getter<S["Type"], S["Type"], RE>;}): (self: S) => decodeTo<toType<S>, S, RD, RE>Example
(Trimming string values during encoding/decoding)
import { Schema, SchemaGetter } from "effect"
const Trimmed = Schema.String.pipe( Schema.decode({ decode: SchemaGetter.transform((s) => s.trim()), encode: SchemaGetter.transform((s) => s.trim()) }))
Schema.decodeUnknownSync(Trimmed)(" hello ") // => "hello"Creates a schema that transforms from a source schema to a target schema.
When to use
Use when decoding should change the schema's decoded type or encoded shape, with an optional custom bidirectional transformation.
Details
Call it with the target schema to and then pipe the source schema from
into the returned function. The resulting schema decodes from
From["Encoded"] to To["Type"] and encodes from To["Type"] back to
From["Encoded"].
When no transformation is provided, SchemaTransformation.passthrough() is
used, so From["Type"] must already be compatible with To["Encoded"].
The resulting schema combines decoding and encoding services from both
schemas and any custom transformation.
Gotchas
In a custom transformation, decode maps From["Type"] to To["Encoded"]
and is used on the encoding path, while encode maps To["Encoded"] to
From["Type"] and is used on the decoding path.
Signature
declare function decodeTo<To extends Constraint>(to: To): <From extends Constraint>(from: From) => compose<To, From>declare function decodeTo<To extends Constraint, From extends Constraint, RD = never, RE = never>(to: To, transformation: { readonly decode: Getter<NoInfer<To["Encoded"]>, NoInfer<From["Type"]>, RD>; readonly encode: Getter<NoInfer<From["Type"]>, NoInfer<To["Encoded"]>, RE>;}): (from: From) => decodeTo<To, From, RD, RE>Example
(Transforming strings to numbers with a schema transformation)
import { Schema, SchemaGetter } from "effect"
const NumberFromString = Schema.String.pipe( Schema.decodeTo( Schema.Number, { decode: SchemaGetter.transform((s) => Number(s)), encode: SchemaGetter.transform((n) => String(n)) } ))
Schema.decodeUnknownSync(NumberFromString)("123") // => 123Type-level representation returned by decodeTo.
Signature
interface decodeTo<To extends Constraint, From extends Constraint, RD = never, RE = never> extends BottomLazy<To["ast"], decodeTo<To, From, RD, RE>, To["~type.parameters"], To["~type.mutability"], To["~type.optionality"], To["~type.constructor.default"], From["~encoded.mutability"], From["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": To["~type.make"]; readonly "~type.make.in": To["~type.make.in"]; readonly DecodingServices: RD | To["DecodingServices"] | From["DecodingServices"]; readonly Encoded: From["Encoded"]; readonly EncodingServices: RE | To["EncodingServices"] | From["EncodingServices"]; readonly from: From; readonly Iso: To["Iso"]; readonly to: To; readonly Type: To["Type"];}Applies a transformation to a schema's encoded type, creating a new schema where encoding/decoding
operate on S["Encoded"] rather than S["Type"].
Details
The decode getter maps S["Encoded"] → S["Encoded"] (applied during decoding),
and the encode getter maps S["Encoded"] → S["Encoded"] (applied during encoding).
Signature
declare function encode<S extends Constraint, RD = never, RE = never>(transformation: { readonly decode: Getter<S["Encoded"], S["Encoded"], RD>; readonly encode: Getter<S["Encoded"], S["Encoded"], RE>;}): (self: S) => decodeTo<S, toEncoded<S>, RD, RE>Example
(Upper-casing encoded strings)
import { Schema, SchemaGetter } from "effect"
const UpperFromLower = Schema.String.pipe( Schema.encode({ decode: SchemaGetter.transform((s: string) => s.toLowerCase()), encode: SchemaGetter.transform((s: string) => s.toUpperCase()) }))Schema.encodeSync(UpperFromLower)("hello") // => "HELLO"encodeKeys
Renames struct keys in the encoded form without changing the decoded type.
Details
Takes a partial mapping { decodedKey: encodedKey } and produces a
transformation schema that decodes from the renamed keys and encodes back to
the renamed keys. Keys not present in the mapping are left unchanged.
If two existing fields would produce the same encoded key, construction
fails.
Signature
declare function encodeKeys<S extends Constraint & { readonly fields: Fields;}, M extends { [K in string | number | symbol]: PropertyKey }>(mapping: M): (self: S) => encodeKeys<S, M>Example
import { Schema } from "effect"
const Person = Schema.Struct({ name: Schema.String, age: Schema.Number })const Encoded = Person.pipe(Schema.encodeKeys({ name: "full_name" }))
// Decodes { full_name: "Alice", age: 30 } → { name: "Alice", age: 30 }Schema.decodeUnknownSync(Encoded)({ full_name: "Alice", age: 30 }) // => { name: "Alice", age: 30 }encodeKeys interface
Type-level representation returned by encodeKeys.
Signature
interface encodeKeys<S extends Constraint & { readonly fields: Struct.Fields;}, M extends { [K in keyof S["fields"]]: PropertyKey }> extends decodeTo<S, Struct<{ [K in keyof S["fields"]]: toEncoded<S["fields"][K]> }>> { constructor(_: never);}Reverses a schema transformation so the encoded schema is supplied first.
When to use
Use to define a transformation by naming the encoded schema before the decoded schema.
Details
encodeTo(to)(from) is equivalent to to.pipe(decodeTo(from)). The from
schema acts as the target decoded schema and to acts as the encoded source.
Signature
declare function encodeTo<To extends Constraint>(to: To): <From extends Constraint>(from: From) => decodeTo<From, To>declare function encodeTo<To extends Constraint, From extends Constraint, RD = never, RE = never>(to: To, transformation: { readonly decode: Getter<NoInfer<From["Encoded"]>, NoInfer<To["Type"]>, RD>; readonly encode: Getter<NoInfer<To["Type"]>, NoInfer<From["Encoded"]>, RE>;}): (from: From) => decodeTo<From, To, RD, RE>Example
(Encoding a number back to a string)
import { Schema, SchemaGetter } from "effect"
const NumberFromString = Schema.Number.pipe( Schema.encodeTo(Schema.String, { decode: SchemaGetter.transform((s: string) => Number(s)), encode: SchemaGetter.transform((n: number) => String(n)) }))Schema.decodeSync(NumberFromString)("42") // => 42Adds derived fields to a struct schema during decoding.
Details
Each new field is derived from the decoded struct value via a function that
returns Option. On encoding the derived fields are stripped. This allows
computed or enriched fields to live in the decoded type without appearing in
the encoded form.
Signature
declare function extendTo<S extends Struct<Fields>, Fields extends Fields>(fields: Fields, derive: { [K in string | number | symbol]: (s: S["Type"]) => Option<Fields[K]["Type"]> }): (self: S) => decodeTo<Struct<{ [K in string | number | symbol]: { [K in string | number | symbol]: toType<S["fields"][K]> } & Fields[K] }>, S>Example
import { Option, Schema } from "effect"
const Person = Schema.Struct({ first: Schema.String, last: Schema.String })const Extended = Person.pipe( Schema.extendTo( { fullName: Schema.String }, { fullName: (p) => Option.some(`${p.first} ${p.last}`) } ))
const alice = Schema.decodeUnknownSync(Extended)({ first: "Alice", last: "Smith" })alice.fullName // => "Alice Smith"Swaps the decoded and encoded sides of a schema.
When to use
Use to invert a schema transformation direction.
Details
Calling flip twice returns the original schema.
Signature
declare function flip<S extends Top>(schema: S): S extends flip<F> ? F["Rebuild"] : flip<S>Example
(Flipping a number-from-string schema)
import { Schema } from "effect"
// NumberFromString: decodes string → numberconst flipped = Schema.flip(Schema.NumberFromString)Schema.decodeSync(flipped)(42) // => "42"Type-level representation returned by flip.
Signature
interface flip<S extends Top> extends BottomLazy<SchemaAST.AST, flip<S>, ReadonlyArray<Constraint>, S["~encoded.mutability"], S["~encoded.optionality"], ConstructorDefault, S["~type.mutability"], S["~type.optionality"]> { constructor(_: never); readonly "~effect/Schema/flip": "~effect/Schema/flip"; readonly "~type.make": S["Encoded"]; readonly "~type.make.in": S["Encoded"]; readonly DecodingServices: S["EncodingServices"]; readonly Encoded: S["Type"]; readonly EncodingServices: S["DecodingServices"]; readonly Iso: S["Encoded"]; readonly schema: S; readonly Type: S["Encoded"];}Constructs an SchemaAST.Link that describes how a value of type T encodes to and decodes from a To schema.
Used when building low-level AST transformations that bridge two schema types.
Signature
declare function link<T>(): <To extends Constraint>(encodeTo: To, transformation: { readonly decode: Getter<T, NoInfer<To["Type"]>>; readonly encode: Getter<NoInfer<To["Type"]>, T>;}) => LinkMakes an array or tuple schema mutable, removing the readonly modifier.
Signature
declare const mutable: mutableLambdaExample
(Defining mutable arrays)
import { Schema } from "effect"
const schema = Schema.mutable(Schema.Array(Schema.Number))
// number[] (mutable)type T = typeof schema.Typeconst value: T = [1, 2]value.push(3)value // => [1, 2, 3]Type-level representation returned by mutable.
Signature
interface mutable<S extends Constraint & { readonly ast: SchemaAST.Arrays;}> extends BottomLazy<S["ast"], mutable<S>, S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: { [K in string | number | symbol]: S["Encoded"][K] }; readonly EncodingServices: S["EncodingServices"]; readonly Iso: S["Iso"]; readonly schema: S; readonly Type: { [K in string | number | symbol]: S["Type"][K] };}overrideToCodecIso
Overrides a schema's derived ISO codec with an explicit target codec.
When to use
Use to provide a custom ISO transformation when the default derivation is not appropriate.
Details
The resulting schema carries a custom Iso type parameter and uses the
provided decode and encode getters to transform between the schema type
and the target codec.
Signature
declare function overrideToCodecIso<S extends Constraint, Iso>(to: ConstraintCodec<Iso>, transformation: { readonly decode: Getter<S["Type"], Iso>; readonly encode: Getter<Iso, S["Type"]>;}): (schema: S) => overrideToCodecIso<S, Iso>overrideToCodecIso interface
Type-level representation returned by overrideToCodecIso.
Signature
interface overrideToCodecIso<S extends Constraint, Iso> extends BottomLazy<S["ast"], overrideToCodecIso<S, Iso>, S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: S["DecodingServices"]; readonly Encoded: S["Encoded"]; readonly EncodingServices: S["EncodingServices"]; Iso: Iso; readonly schema: S; readonly Type: S["Type"];}Extracts the encoded-side schema: sets Type to equal the Encoded,
discarding the decoding transformation path.
Signature
declare const toEncoded: toEncodedLambdaType-level representation returned by toEncoded.
Signature
interface toEncoded<S extends Constraint> extends BottomLazy<SchemaAST.AST, toEncoded<S>, ReadonlyArray<Constraint>, S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["Encoded"]; readonly "~type.make.in": S["Encoded"]; readonly DecodingServices: never; readonly Encoded: S["Encoded"]; readonly EncodingServices: never; readonly Iso: S["Encoded"]; readonly schema: S; readonly Type: S["Encoded"];}Extracts the type-side schema: sets Encoded to equal the decoded Type,
discarding the encoding transformation path.
Signature
declare const toType: toTypeLambdaType-level representation returned by toType.
Signature
interface toType<S extends Constraint> extends BottomLazy<S["ast"], toType<S>, S["~type.parameters"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]> { constructor(_: never); readonly "~type.make": S["~type.make"]; readonly "~type.make.in": S["~type.make.in"]; readonly DecodingServices: never; readonly Encoded: S["Type"]; readonly EncodingServices: never; readonly Iso: S["Iso"]; readonly schema: S; readonly Type: S["Type"];}Utility Types
Represents a function that builds a fast-check Arbitrary<T> from the
fast-check module.
When to use
Use as the result type of schema arbitrary derivation.
Signature
type Arbitrary<T> = (fc: typeof FastCheck) => FastCheck.Arbitrary<T>Fully-parameterized base interface for schemas that can be extended directly by TypeScript classes.
When to use
Use as the base for concrete schema interfaces whose runtime values support
class ... extends schema.
Details
Extends BottomWithoutNew with a construct signature that accepts never. The
signature enables class extension without making ordinary schemas directly
constructible.
See
- BottomWithoutNew for the schema protocol without a construct signature
Signature
interface Bottom<out T, out E, out RD, out RE, out Ast extends SchemaAST.AST, out Rebuild extends Top, out TypeMakeIn = T, out Iso = T, in out TypeParameters extends ReadonlyArray<Constraint> = readonly [], out TypeMake = TypeMakeIn, out TypeMutability extends Mutability = "readonly", out TypeOptionality extends Optionality = "required", out TypeConstructorDefault extends ConstructorDefault = "no-default", out EncodedMutability extends Mutability = "readonly", out EncodedOptionality extends Optionality = "required"> extends BottomWithoutNew<T, E, RD, RE, Ast, Rebuild, TypeMakeIn, Iso, TypeParameters, TypeMake, TypeMutability, TypeOptionality, TypeConstructorDefault, EncodedMutability, EncodedOptionality> { constructor(_: never);}BottomLazy interface
Lazy Bottom variant for schemas that can be extended directly by TypeScript
classes.
When to use
Use as the base for concrete lazy schema interfaces whose runtime values
support class ... extends schema.
Details
Extends BottomLazyWithoutNew with a construct signature that accepts never.
The signature enables class extension without making ordinary schemas
directly constructible.
See
- BottomLazyWithoutNew for the lazy schema protocol without a construct signature
Signature
interface BottomLazy<out Ast extends SchemaAST.AST, out Rebuild extends Top, in out TypeParameters extends ReadonlyArray<Constraint> = readonly [], out TypeMutability extends Mutability = "readonly", out TypeOptionality extends Optionality = "required", out TypeConstructorDefault extends ConstructorDefault = "no-default", out EncodedMutability extends Mutability = "readonly", out EncodedOptionality extends Optionality = "required"> extends BottomLazyWithoutNew<Ast, Rebuild, TypeParameters, TypeMutability, TypeOptionality, TypeConstructorDefault, EncodedMutability, EncodedOptionality> { constructor(_: never);}BottomLazyWithoutNew interface
Lazy BottomWithoutNew variant for schema implementations that
compute their public views on demand.
When to use
Use as the base for lazy schema interfaces that provide a specialized construct signature.
Details
The laziness is purely type-level; runtime behavior is unchanged.
BottomLazyWithoutNew keeps the structural operations inherited from
BottomWithoutNew, but erases the expensive schema views to
unknown. Concrete schema interfaces can then redeclare the precise views
they expose. This keeps wide schemas such as Struct and Union cheaper when
generic code reads a single view, while preserving their exact public types.
See
- BottomWithoutNew for the fully parameterized schema interface when every view must be supplied directly.
Signature
interface BottomLazyWithoutNew<out Ast extends SchemaAST.AST, out Rebuild extends Top, in out TypeParameters extends ReadonlyArray<Constraint> = readonly [], out TypeMutability extends Mutability = "readonly", out TypeOptionality extends Optionality = "required", out TypeConstructorDefault extends ConstructorDefault = "no-default", out EncodedMutability extends Mutability = "readonly", out EncodedOptionality extends Optionality = "required"> extends BottomWithoutNew<unknown, unknown, unknown, unknown, Ast, Rebuild, unknown, unknown, TypeParameters, unknown, TypeMutability, TypeOptionality, TypeConstructorDefault, EncodedMutability, EncodedOptionality> {}Iso representation used for Cause schemas: an ordered array of
CauseReasonIso values.
When to use
Use when working with the ISO shape of a Cause schema, such as toIso
optics or codecs that expose a cause as its ordered array of encoded reasons.
See
- Cause for constructing schemas for full Cause values
- CauseReasonIso for the ISO shape of each array element
Signature
type CauseIso<E extends Constraint, D extends Constraint> = ReadonlyArray<CauseReasonIso<E, D>>CauseReasonIso type
Iso representation used for CauseReason schemas.
Details
Failures are represented with a Fail tag and encoded error, defects with a
Die tag and encoded defect, and interrupts with an optional fiberId.
Signature
type CauseReasonIso<E extends Constraint, D extends Constraint> = { readonly _tag: "Fail"; readonly error: E["Iso"];} | { readonly _tag: "Die"; readonly error: D["Iso"];} | { readonly _tag: "Interrupt"; readonly fiberId: number | undefined;}Iso representation used for Chunk schemas: an array of element values using
the element schema's Iso type.
When to use
Use when annotating type-level helpers that work with the readonly-array ISO
shape of a Chunk schema.
See
- Chunk for the schema interface and constructor that use this ISO representation
Signature
type ChunkIso<Value extends Constraint> = ReadonlyArray<Value["Iso"]>Iso representation used for Exit schemas.
Details
Successful exits are represented as { _tag: "Success", value }, while failed
exits are represented as { _tag: "Failure", cause }.
Signature
type ExitIso<A extends Constraint, E extends Constraint, D extends Constraint> = { readonly _tag: "Success"; readonly value: A["Iso"];} | { readonly _tag: "Failure"; readonly cause: CauseIso<E, D>;}Iso representation used for Graph schemas.
Signature
type GraphIso<T extends Graph_.Kind, Node extends Constraint, Edge extends Constraint> = EncodedGraph<Node["Iso"], Edge["Iso"], T>HashMapIso type
Iso representation used for HashMap schemas: an array of readonly
[key, value] tuples using each entry schema's Iso type.
Signature
type HashMapIso<Key extends Constraint, Value extends Constraint> = ReadonlyArray<readonly [Key["Iso"], Value["Iso"]]>HashSetIso type
Iso representation used for HashSet schemas: an array of element values
using the element schema's Iso type.
Signature
type HashSetIso<Value extends Constraint> = ReadonlyArray<Value["Iso"]>Iso representation used for Option schemas.
Details
None is represented as { _tag: "None" }, while Some is represented as
{ _tag: "Some", value } using the wrapped schema's Iso type.
Signature
type OptionIso<A extends Constraint> = { readonly _tag: "None";} | { readonly _tag: "Some"; readonly value: A["Iso"];}ReadonlyMapIso type
Iso representation used for ReadonlyMap schemas: an array of readonly
[key, value] tuples using each entry schema's Iso type.
Signature
type ReadonlyMapIso<Key extends Constraint, Value extends Constraint> = ReadonlyArray<readonly [Key["Iso"], Value["Iso"]]>ReadonlySetIso type
Iso representation used for ReadonlySet schemas: an array of element values
using the element schema's Iso type.
Signature
type ReadonlySetIso<Value extends Constraint> = ReadonlyArray<Value["Iso"]>Iso representation used for Result schemas.
Details
Successful results are represented as { _tag: "Success", success }, while
failed results are represented as { _tag: "Failure", failure }.
Signature
type ResultIso<A extends Constraint, E extends Constraint> = { readonly _tag: "Success"; readonly success: A["Iso"];} | { readonly _tag: "Failure"; readonly failure: E["Iso"];}revealBottom
Returns a schema widened to the fully-parameterized Bottom interface, making all 14 type parameters visible to TypeScript.
Details
Normally, concrete schema interfaces (e.g. Schema<string>) hide most type
parameters. revealBottom is useful when writing generic utilities that need
to inspect or propagate the complete set of type parameters.
Signature
declare function revealBottom<S extends Top>(bottom: S): Bottom<S["Type"], S["Encoded"], S["DecodingServices"], S["EncodingServices"], S["ast"], S["Rebuild"], S["~type.make.in"], S["Iso"], S["~type.parameters"], S["~type.make"], S["~type.mutability"], S["~type.optionality"], S["~type.constructor.default"], S["~encoded.mutability"], S["~encoded.optionality"]>Example
(Inspecting all type parameters of a schema)
import { Schema } from "effect"
const schema = Schema.String
// Widen to Bottom to access all 14 type parametersconst bottom = Schema.revealBottom(schema)
// `bottom` now exposes Type, Encoded, DecodingServices, EncodingServices,// ast, Rebuild, ~type.make.in, Iso, ~type.parameters, etc.type T = typeof bottom["Type"] // stringtype E = typeof bottom["Encoded"] // stringrevealCodec
Returns a codec widened to the full Codec interface, prompting
TypeScript to infer all four type parameters (T, E, RD, RE).
Details
When a schema is stored in a variable typed as Schema<T> or Top, the
encoded type and service requirements are erased. Passing the value through
revealCodec recovers those parameters without any runtime cost.
Signature
declare function revealCodec<T, E, RD, RE>(codec: Codec<T, E, RD, RE>): Codec<T, E, RD, RE>Example
(Recovering encoded type from a schema variable)
import { Schema } from "effect"
const schema: Schema.Schema<number> = Schema.NumberFromString
// Without revealCodec, Encoded is unknownconst codec = Schema.revealCodec(schema)type Enc = typeof codec["Encoded"] // stringValidation
Validates that a string is valid Base64 encoded data.
Details
JSON Schema:
This check corresponds to a pattern constraint in JSON Schema that matches
Base64 format.
Arbitrary:
When generating test data with fast-check, this applies a patterns
constraint to ensure generated strings match the Base64 pattern.
Signature
declare function isBase64(annotations?: Filter): Filter<string>isBase64Reviver
Reviver for persisted isBase64 checks.
When to use
Use when reconstructing documents that may contain checks created by isBase64.
See
- isBase64 for creating the corresponding check
Signature
declare const isBase64Reviver: SchemaRepresentation.FilterReviver<null>isBase64Url
Validates that a string is valid Base64URL encoded data (Base64 with URL-safe characters).
Details
JSON Schema:
This check corresponds to a pattern constraint in JSON Schema that matches
Base64URL format.
Arbitrary:
When generating test data with fast-check, this applies a patterns
constraint to ensure generated strings match the Base64URL pattern.
Signature
declare function isBase64Url(annotations?: Filter): Filter<string>isBase64UrlReviver
Reviver for persisted isBase64Url checks.
When to use
Use when reconstructing documents that may contain checks created by isBase64Url.
See
- isBase64Url for creating the corresponding check
Signature
declare const isBase64UrlReviver: SchemaRepresentation.FilterReviver<null>Validates that a number is within a specified range. The range boundaries can be inclusive or exclusive based on the provided options.
Details
JSON Schema:
This check corresponds to minimum/maximum or exclusiveMinimum/exclusiveMaximum
constraints in JSON Schema, depending on the options provided.
Arbitrary:
When generating test data with fast-check, this applies minimum and
maximum constraints with optional exclusiveMinimum and
exclusiveMaximum flags to ensure generated numbers fall within the
specified range.
Signature
declare const isBetween: (options: { readonly exclusiveMaximum?: boolean; readonly exclusiveMinimum?: boolean; readonly maximum: number; readonly minimum: number;}, annotations?: Filter) => Filter<number>isBetweenBigDecimal
Validates that a BigDecimal is within a specified range.
Details
The minimum and maximum boundaries are inclusive by default. Pass
exclusiveMinimum or exclusiveMaximum to exclude either boundary.
Signature
declare const isBetweenBigDecimal: (options: { readonly exclusiveMaximum?: boolean; readonly exclusiveMinimum?: boolean; readonly maximum: BigDecimal; readonly minimum: BigDecimal;}, annotations?: Filter) => Filter<BigDecimal>isBetweenBigInt
Validates that a BigInt is within a specified range. The range boundaries can be inclusive or exclusive based on the provided options.
Details
Arbitrary:
When generating test data with fast-check, this applies min and max
constraints to ensure generated BigInt values fall within the specified
range.
Signature
declare const isBetweenBigInt: (options: { readonly exclusiveMaximum?: boolean; readonly exclusiveMinimum?: boolean; readonly maximum: bigint; readonly minimum: bigint;}, annotations?: Filter) => Filter<bigint>isBetweenBigIntReviver
Reviver for persisted isBetweenBigInt checks.
When to use
Use when reconstructing documents that may contain checks created by isBetweenBigInt.
See
- isBetweenBigInt for creating the corresponding check
Signature
declare const isBetweenBigIntReviver: SchemaRepresentation.FilterReviver<{ readonly exclusiveMaximum?: true; readonly exclusiveMinimum?: true; readonly maximum: bigint; readonly minimum: bigint;}>isBetweenDate
Validates that a Date is within a specified range. The range boundaries can be inclusive or exclusive based on the provided options.
Details
JSON Schema:
This check does not have a direct JSON Schema equivalent, as JSON Schema validates date strings, not Date objects.
Arbitrary:
When generating test data with fast-check, this applies min and max
constraints to ensure generated Date objects fall within the specified range,
shifting exclusive bounds by one millisecond.
Signature
declare const isBetweenDate: (options: { readonly exclusiveMaximum?: boolean; readonly exclusiveMinimum?: boolean; readonly maximum: Date; readonly minimum: Date;}, annotations?: Filter) => Filter<Date>isBetweenDateReviver
Reviver for persisted isBetweenDate checks.
When to use
Use when reconstructing documents that may contain checks created by isBetweenDate.
See
- isBetweenDate for creating the corresponding check
Signature
declare const isBetweenDateReviver: SchemaRepresentation.FilterReviver<{ readonly exclusiveMaximum?: true; readonly exclusiveMinimum?: true; readonly maximum: globalThis.Date; readonly minimum: globalThis.Date;}>isBetweenReviver
Reviver for persisted isBetween checks.
When to use
Use when reconstructing documents that may contain checks created by isBetween.
See
- isBetween for creating the corresponding check
Signature
declare const isBetweenReviver: SchemaRepresentation.FilterReviver<{ readonly exclusiveMaximum?: true; readonly exclusiveMinimum?: true; readonly maximum: number; readonly minimum: number;}>isCapitalized
Validates that the first character of a string is unchanged by
toUpperCase().
Details
Empty strings pass. Strings whose first character has no lowercase form, such as a digit, punctuation mark, or whitespace, also pass.
Signature
declare function isCapitalized(annotations?: Filter): Filter<string>isCapitalizedReviver
Reviver for persisted isCapitalized checks.
When to use
Use when reconstructing documents that may contain checks created by isCapitalized.
See
- isCapitalized for creating the corresponding check
Signature
declare const isCapitalizedReviver: SchemaRepresentation.FilterReviver<null>isEndsWith
Validates at runtime that a string ends with the specified literal suffix.
Details
RegExp metacharacters in the suffix are escaped in JSON Schema and arbitrary
metadata so that the generated patterns retain literal endsWith semantics.
Signature
declare function isEndsWith(endsWith: string, annotations?: Filter): Filter<string>isEndsWithReviver
Reviver for persisted isEndsWith checks.
When to use
Use when reconstructing documents that may contain checks created by isEndsWith.
See
- isEndsWith for creating the corresponding check
Signature
declare const isEndsWithReviver: SchemaRepresentation.FilterReviver<{ readonly endsWith: string;}>Validates that a number is finite (not Infinity, -Infinity, or NaN).
Details
JSON Schema:
This check does not have a direct JSON Schema equivalent, but ensures the number is valid and finite.
Arbitrary:
When generating test data with fast-check, this applies noNaN: true and
noInfinity: true constraints to ensure generated numbers are finite.
Signature
declare const isFinite: (annotations?: Annotations.Filter) => SchemaAST.Filter<number>isFiniteReviver
Reviver for persisted isFinite checks.
When to use
Use when reconstructing documents that may contain checks created by isFinite.
See
- isFinite for creating the corresponding check
Signature
declare const isFiniteReviver: SchemaRepresentation.FilterReviver<null>isGreaterThan
Validates that a number is greater than the specified value (exclusive).
Details
JSON Schema:
This check corresponds to the exclusiveMinimum constraint in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies an
exclusiveMinimum constraint to ensure generated numbers are greater than
the specified value.
Signature
declare const isGreaterThan: (exclusiveMinimum: number, annotations?: Filter) => Filter<number>isGreaterThanBigDecimal
Validates that a BigDecimal is greater than the specified value (exclusive).
Signature
declare const isGreaterThanBigDecimal: (exclusiveMinimum: BigDecimal, annotations?: Filter) => Filter<BigDecimal>isGreaterThanBigInt
Validates that a BigInt is greater than the specified value (exclusive).
Details
Arbitrary:
When generating test data with fast-check, this applies a min constraint of
exclusiveMinimum + 1n to ensure generated BigInts are greater than the
specified value.
Signature
declare const isGreaterThanBigInt: (exclusiveMinimum: bigint, annotations?: Filter) => Filter<bigint>isGreaterThanBigIntReviver
Reviver for persisted isGreaterThanBigInt checks.
When to use
Use when reconstructing documents that may contain checks created by isGreaterThanBigInt.
See
- isGreaterThanBigInt for creating the corresponding check
Signature
declare const isGreaterThanBigIntReviver: SchemaRepresentation.FilterReviver<{ readonly exclusiveMinimum: bigint;}>isGreaterThanDate
Validates that a Date is greater than the specified value (exclusive).
Details
Arbitrary:
When generating test data with fast-check, this applies a min constraint of
one millisecond after the specified value to ensure generated Date objects are
greater than it.
Signature
declare const isGreaterThanDate: (exclusiveMinimum: Date, annotations?: Filter) => Filter<Date>isGreaterThanDateReviver
Reviver for persisted isGreaterThanDate checks.
When to use
Use when reconstructing documents that may contain checks created by isGreaterThanDate.
See
- isGreaterThanDate for creating the corresponding check
Signature
declare const isGreaterThanDateReviver: SchemaRepresentation.FilterReviver<{ readonly exclusiveMinimum: globalThis.Date;}>isGreaterThanOrEqualTo
Validates that a number is greater than or equal to the specified value (inclusive).
Details
JSON Schema:
This check corresponds to the minimum constraint in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies a minimum constraint
to ensure generated numbers are greater than or equal to the specified value.
Signature
declare const isGreaterThanOrEqualTo: (minimum: number, annotations?: Filter) => Filter<number>isGreaterThanOrEqualToBigDecimal
Validates that a BigDecimal is greater than or equal to the specified value (inclusive).
Signature
declare const isGreaterThanOrEqualToBigDecimal: (minimum: BigDecimal, annotations?: Filter) => Filter<BigDecimal>isGreaterThanOrEqualToBigInt
Validates that a BigInt is greater than or equal to the specified value (inclusive).
Details
Arbitrary:
When generating test data with fast-check, this applies a min constraint
to ensure generated BigInt values are greater than or equal to the specified
value.
Signature
declare const isGreaterThanOrEqualToBigInt: (minimum: bigint, annotations?: Filter) => Filter<bigint>isGreaterThanOrEqualToBigIntReviver
Reviver for persisted isGreaterThanOrEqualToBigInt checks.
When to use
Use when reconstructing documents that may contain checks created by isGreaterThanOrEqualToBigInt.
See
- isGreaterThanOrEqualToBigInt for creating the corresponding check
Signature
declare const isGreaterThanOrEqualToBigIntReviver: SchemaRepresentation.FilterReviver<{ readonly minimum: bigint;}>isGreaterThanOrEqualToDate
Validates that a Date is greater than or equal to the specified date (inclusive).
Details
JSON Schema:
This check does not have a direct JSON Schema equivalent, as JSON Schema validates date strings, not Date objects.
Arbitrary:
When generating test data with fast-check, this applies a min constraint
to ensure generated Date objects are greater than or equal to the specified
date.
Signature
declare const isGreaterThanOrEqualToDate: (minimum: Date, annotations?: Filter) => Filter<Date>isGreaterThanOrEqualToDateReviver
Reviver for persisted isGreaterThanOrEqualToDate checks.
When to use
Use when reconstructing documents that may contain checks created by isGreaterThanOrEqualToDate.
See
- isGreaterThanOrEqualToDate for creating the corresponding check
Signature
declare const isGreaterThanOrEqualToDateReviver: SchemaRepresentation.FilterReviver<{ readonly minimum: globalThis.Date;}>isGreaterThanOrEqualToReviver
Reviver for persisted isGreaterThanOrEqualTo checks.
When to use
Use when reconstructing documents that may contain checks created by isGreaterThanOrEqualTo.
See
- isGreaterThanOrEqualTo for creating the corresponding check
Signature
declare const isGreaterThanOrEqualToReviver: SchemaRepresentation.FilterReviver<{ readonly minimum: number;}>isGreaterThanReviver
Reviver for persisted isGreaterThan checks.
When to use
Use when reconstructing documents that may contain checks created by isGreaterThan.
See
- isGreaterThan for creating the corresponding check
Signature
declare const isGreaterThanReviver: SchemaRepresentation.FilterReviver<{ readonly exclusiveMinimum: number;}>Validates that a string has the GUID / UUID textual shape.
When to use
Use when you need to accept dashed hexadecimal identifiers without enforcing UUID version or variant bits.
Details
This check accepts strings in the 8-4-4-4-12 hexadecimal form. JSON Schema
output includes the corresponding pattern constraint and intentionally does
not include format: "uuid" because GUID validation is looser than UUID
validation.
Arbitrary:
When generating test data with fast-check, this applies a patterns
constraint to ensure generated strings match the GUID pattern.
See
- isUUID for strict UUID validation.
Signature
declare function isGUID(annotations?: Filter): Filter<string>isGUIDReviver
Reviver for persisted isGUID checks.
When to use
Use when reconstructing documents that may contain checks created by isGUID.
See
- isGUID for creating the corresponding check
Signature
declare const isGUIDReviver: SchemaRepresentation.FilterReviver<null>isIncludes
Validates at runtime that a string contains the specified literal substring.
Details
RegExp metacharacters in the substring are escaped in JSON Schema and
arbitrary metadata so that the generated patterns retain literal includes
semantics.
Signature
declare function isIncludes(includes: string, annotations?: Filter): Filter<string>isIncludesReviver
Reviver for persisted isIncludes checks.
When to use
Use when reconstructing documents that may contain checks created by isIncludes.
See
- isIncludes for creating the corresponding check
Signature
declare const isIncludesReviver: SchemaRepresentation.FilterReviver<{ readonly includes: string;}>Validates that a number is a safe integer (within the safe integer range that can be exactly represented in JavaScript).
Details
JSON Schema:
This check corresponds to the type: "integer" constraint in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies an integer: true
constraint to ensure generated numbers are integers.
Signature
declare function isInt(annotations?: Filter): Filter<number>Validates that a number is a 32-bit signed integer (range: -2,147,483,648 to 2,147,483,647).
Details
JSON Schema:
This check corresponds to the format: "int32" constraint in OpenAPI 3.1,
or minimum/maximum constraints in other JSON Schema targets.
Arbitrary:
When generating test data with fast-check, this applies integer and range constraints to ensure generated numbers are 32-bit signed integers.
Signature
declare function isInt32(annotations?: Filter): FilterGroup<number>isIntReviver
Reviver for persisted isInt checks.
When to use
Use when reconstructing documents that may contain checks created by isInt.
See
- isInt for creating the corresponding check
Signature
declare const isIntReviver: SchemaRepresentation.FilterReviver<null>isLengthBetween
Validates that a value's length is within the specified range. Works with strings and arrays.
Details
JSON Schema:
This check corresponds to minLength/maxLength constraints for strings
or minItems/maxItems constraints for arrays in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies minLength and
maxLength constraints to ensure generated strings or arrays have a length
within the specified range.
Signature
declare function isLengthBetween(minimum: number, maximum: number, annotations?: Filter): Filter<{ readonly length: number;}>isLengthBetweenReviver
Reviver for persisted isLengthBetween checks.
When to use
Use when reconstructing documents that may contain checks created by isLengthBetween.
See
- isLengthBetween for creating the corresponding check
Signature
declare const isLengthBetweenReviver: SchemaRepresentation.FilterReviver<{ readonly maximum: number; readonly minimum: number;}>isLessThan
Validates that a number is less than the specified value (exclusive).
Details
JSON Schema:
This check corresponds to the exclusiveMaximum constraint in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies an
exclusiveMaximum constraint to ensure generated numbers are less than the
specified value.
Signature
declare const isLessThan: (exclusiveMaximum: number, annotations?: Filter) => Filter<number>isLessThanBigDecimal
Validates that a BigDecimal is less than the specified value (exclusive).
Signature
declare const isLessThanBigDecimal: (exclusiveMaximum: BigDecimal, annotations?: Filter) => Filter<BigDecimal>isLessThanBigInt
Validates that a BigInt is less than the specified value (exclusive).
Details
Arbitrary:
When generating test data with fast-check, this applies a max constraint of
exclusiveMaximum - 1n to ensure generated BigInts are less than the
specified value.
Signature
declare const isLessThanBigInt: (exclusiveMaximum: bigint, annotations?: Filter) => Filter<bigint>isLessThanBigIntReviver
Reviver for persisted isLessThanBigInt checks.
When to use
Use when reconstructing documents that may contain checks created by isLessThanBigInt.
See
- isLessThanBigInt for creating the corresponding check
Signature
declare const isLessThanBigIntReviver: SchemaRepresentation.FilterReviver<{ readonly exclusiveMaximum: bigint;}>isLessThanDate
Validates that a Date is less than the specified value (exclusive).
Details
Arbitrary:
When generating test data with fast-check, this applies a max constraint of
one millisecond before the specified value to ensure generated Date objects
are less than it.
Signature
declare const isLessThanDate: (exclusiveMaximum: Date, annotations?: Filter) => Filter<Date>isLessThanDateReviver
Reviver for persisted isLessThanDate checks.
When to use
Use when reconstructing documents that may contain checks created by isLessThanDate.
See
- isLessThanDate for creating the corresponding check
Signature
declare const isLessThanDateReviver: SchemaRepresentation.FilterReviver<{ readonly exclusiveMaximum: globalThis.Date;}>isLessThanOrEqualTo
Validates that a number is less than or equal to the specified value (inclusive).
Details
JSON Schema:
This check corresponds to the maximum constraint in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies a maximum constraint
to ensure generated numbers are less than or equal to the specified value.
Signature
declare const isLessThanOrEqualTo: (maximum: number, annotations?: Filter) => Filter<number>isLessThanOrEqualToBigDecimal
Validates that a BigDecimal is less than or equal to the specified value (inclusive).
Signature
declare const isLessThanOrEqualToBigDecimal: (maximum: BigDecimal, annotations?: Filter) => Filter<BigDecimal>isLessThanOrEqualToBigInt
Validates that a BigInt is less than or equal to the specified value (inclusive).
Details
Arbitrary:
When generating test data with fast-check, this applies a max constraint
to ensure generated BigInt values are less than or equal to the specified
value.
Signature
declare const isLessThanOrEqualToBigInt: (maximum: bigint, annotations?: Filter) => Filter<bigint>isLessThanOrEqualToBigIntReviver
Reviver for persisted isLessThanOrEqualToBigInt checks.
When to use
Use when reconstructing documents that may contain checks created by isLessThanOrEqualToBigInt.
See
- isLessThanOrEqualToBigInt for creating the corresponding check
Signature
declare const isLessThanOrEqualToBigIntReviver: SchemaRepresentation.FilterReviver<{ readonly maximum: bigint;}>isLessThanOrEqualToDate
Validates that a Date is less than or equal to the specified date (inclusive).
Details
JSON Schema:
This check does not have a direct JSON Schema equivalent, as JSON Schema validates date strings, not Date objects.
Arbitrary:
When generating test data with fast-check, this applies a max constraint
to ensure generated Date objects are less than or equal to the specified
date.
Signature
declare const isLessThanOrEqualToDate: (maximum: Date, annotations?: Filter) => Filter<Date>isLessThanOrEqualToDateReviver
Reviver for persisted isLessThanOrEqualToDate checks.
When to use
Use when reconstructing documents that may contain checks created by isLessThanOrEqualToDate.
See
- isLessThanOrEqualToDate for creating the corresponding check
Signature
declare const isLessThanOrEqualToDateReviver: SchemaRepresentation.FilterReviver<{ readonly maximum: globalThis.Date;}>isLessThanOrEqualToReviver
Reviver for persisted isLessThanOrEqualTo checks.
When to use
Use when reconstructing documents that may contain checks created by isLessThanOrEqualTo.
See
- isLessThanOrEqualTo for creating the corresponding check
Signature
declare const isLessThanOrEqualToReviver: SchemaRepresentation.FilterReviver<{ readonly maximum: number;}>isLessThanReviver
Reviver for persisted isLessThan checks.
When to use
Use when reconstructing documents that may contain checks created by isLessThan.
See
- isLessThan for creating the corresponding check
Signature
declare const isLessThanReviver: SchemaRepresentation.FilterReviver<{ readonly exclusiveMaximum: number;}>isLowercased
Validates that a string is unchanged by JavaScript's toLowerCase().
Details
This accepts empty strings and characters that do not have uppercase forms, such as digits, punctuation, and whitespace. It rejects strings that would change when lowercased.
Signature
declare function isLowercased(annotations?: Filter): Filter<string>isLowercasedReviver
Reviver for persisted isLowercased checks.
When to use
Use when reconstructing documents that may contain checks created by isLowercased.
See
- isLowercased for creating the corresponding check
Signature
declare const isLowercasedReviver: SchemaRepresentation.FilterReviver<null>isMaxLength
Validates that a value has at most the specified length. Works with strings and arrays.
Details
JSON Schema:
This check corresponds to the maxLength constraint for strings or the
maxItems constraint for arrays in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies a maxLength
constraint to ensure generated strings or arrays have at most the required
length.
Signature
declare function isMaxLength(maxLength: number, annotations?: Filter): Filter<{ readonly length: number;}>isMaxLengthReviver
Reviver for persisted isMaxLength checks.
When to use
Use when reconstructing documents that may contain checks created by isMaxLength.
See
- isMaxLength for creating the corresponding check
Signature
declare const isMaxLengthReviver: SchemaRepresentation.FilterReviver<{ readonly maxLength: number;}>isMaxProperties
Validates that an object contains at most the specified number of properties. This includes both string and symbol keys when counting properties.
Details
JSON Schema:
This check corresponds to the maxProperties constraint in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies a node-local
maxLength constraint. Object generators interpret it as the final number
of own properties.
Signature
declare function isMaxProperties(maxProperties: number, annotations?: Filter): Filter<object>isMaxPropertiesReviver
Reviver for persisted isMaxProperties checks.
When to use
Use when reconstructing documents that may contain checks created by isMaxProperties.
See
- isMaxProperties for creating the corresponding check
Signature
declare const isMaxPropertiesReviver: SchemaRepresentation.FilterReviver<{ readonly maxProperties: number;}>Validates that a value has at most the specified size. Works with values
that have a size property, such as Set or Map.
Details
JSON Schema:
This check does not have a direct JSON Schema equivalent, as it applies to
values with a size property rather than standard JSON Schema types.
Arbitrary:
When generating test data with fast-check, this applies a node-local
maxLength constraint. Generators for values with a final .size, such as
sets and maps, interpret it as final cardinality.
Signature
declare function isMaxSize(maxSize: number, annotations?: Filter): Filter<{ readonly size: number;}>isMaxSizeReviver
Reviver for persisted isMaxSize checks.
When to use
Use when reconstructing documents that may contain checks created by isMaxSize.
See
- isMaxSize for creating the corresponding check
Signature
declare const isMaxSizeReviver: SchemaRepresentation.FilterReviver<{ readonly maxSize: number;}>isMinLength
Validates that a value has at least the specified length. Works with strings and arrays.
Details
JSON Schema:
This check corresponds to the minLength constraint for strings or the
minItems constraint for arrays in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies a minLength
constraint to ensure generated strings or arrays have at least the required
length.
Signature
declare function isMinLength(minLength: number, annotations?: Filter): Filter<{ readonly length: number;}>Example
(Checking minimum length)
import { Schema } from "effect"
const NonEmptyStringSchema = Schema.String.check(Schema.isMinLength(1))const NonEmptyArraySchema = Schema.Array(Schema.Number).check(Schema.isMinLength(1))Schema.is(NonEmptyStringSchema)("a") // => trueSchema.is(NonEmptyArraySchema)([1]) // => trueisMinLengthReviver
Reviver for persisted isMinLength checks.
When to use
Use when reconstructing documents that may contain checks created by isMinLength.
See
- isMinLength for creating the corresponding check
Signature
declare const isMinLengthReviver: SchemaRepresentation.FilterReviver<{ readonly minLength: number;}>isMinProperties
Validates that an object contains at least the specified number of properties. This includes both string and symbol keys when counting properties.
Details
JSON Schema:
This check corresponds to the minProperties constraint in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies a node-local
minLength constraint. Object generators interpret it as the final number
of own properties.
Signature
declare function isMinProperties(minProperties: number, annotations?: Filter): Filter<object>isMinPropertiesReviver
Reviver for persisted isMinProperties checks.
When to use
Use when reconstructing documents that may contain checks created by isMinProperties.
See
- isMinProperties for creating the corresponding check
Signature
declare const isMinPropertiesReviver: SchemaRepresentation.FilterReviver<{ readonly minProperties: number;}>Validates that a value has at least the specified size. Works with values
that have a size property, such as Set or Map.
Details
JSON Schema:
This check does not have a direct JSON Schema equivalent, as it applies to
values with a size property rather than standard JSON Schema types.
Arbitrary:
When generating test data with fast-check, this applies a node-local
minLength constraint. Generators for values with a final .size, such as
sets and maps, interpret it as final cardinality.
Signature
declare function isMinSize(minSize: number, annotations?: Filter): Filter<{ readonly size: number;}>isMinSizeReviver
Reviver for persisted isMinSize checks.
When to use
Use when reconstructing documents that may contain checks created by isMinSize.
See
- isMinSize for creating the corresponding check
Signature
declare const isMinSizeReviver: SchemaRepresentation.FilterReviver<{ readonly minSize: number;}>isMultipleOf
Validates that a number is a multiple of the specified divisor.
Details
JSON Schema:
This check corresponds to the multipleOf constraint in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies constraints to ensure generated numbers are multiples of the specified divisor.
Signature
declare const isMultipleOf: (divisor: number, annotations?: Filter) => Filter<number>isMultipleOfReviver
Reviver for persisted isMultipleOf checks.
When to use
Use when reconstructing documents that may contain checks created by isMultipleOf.
See
- isMultipleOf for creating the corresponding check
Signature
declare const isMultipleOfReviver: SchemaRepresentation.FilterReviver<{ readonly divisor: number;}>isNonEmpty
Validates that a value has at least one element. Works with strings and arrays.
This is equivalent to isMinLength(1).
Details
JSON Schema:
This check corresponds to the minLength: 1 constraint for strings or the
minItems: 1 constraint for arrays in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies a minLength: 1
constraint to ensure generated strings or arrays are non-empty.
Signature
declare function isNonEmpty(annotations?: Filter): Filter<{ readonly length: number;}>Validates that a string matches the specified regular expression pattern.
Details
JSON Schema:
This check corresponds to the pattern constraint in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies a patterns
constraint to ensure generated strings match the specified RegExp pattern.
Signature
declare function isPattern(regExp: RegExp, annotations?: Filter): Filter<string>isPatternReviver
Reviver for persisted isPattern checks.
When to use
Use when reconstructing documents that may contain checks created by isPattern.
See
- isPattern for creating the corresponding check
Signature
declare const isPatternReviver: SchemaRepresentation.FilterReviver<{ readonly flags: string; readonly source: string;}>isPropertiesLengthBetween
Validates that an object contains between minimum and maximum properties (inclusive).
This includes both string and symbol keys when counting properties.
Details
JSON Schema:
This check corresponds to minProperties and maxProperties
constraints in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies node-local
minLength and maxLength constraints. Object generators interpret them as
the final number of own properties.
Signature
declare function isPropertiesLengthBetween(minimum: number, maximum: number, annotations?: Filter): Filter<object>isPropertiesLengthBetweenReviver
Reviver for persisted isPropertiesLengthBetween checks.
When to use
Use when reconstructing documents that may contain checks created by isPropertiesLengthBetween.
See
- isPropertiesLengthBetween for creating the corresponding check
Signature
declare const isPropertiesLengthBetweenReviver: SchemaRepresentation.FilterReviver<{ readonly maximum: number; readonly minimum: number;}>isPropertyNames
Validates that every own property key of an object satisfies the encoded side of the provided key schema.
Details
This check uses Reflect.ownKeys, so symbol keys are validated in addition to
string property names.
JSON Schema:
For string property names, this corresponds to the propertyNames constraint
in JSON Schema.
Signature
declare function isPropertyNames(keySchema: Constraint, annotations?: Filter): Filter<object>isPropertyNamesReviver
Reviver for persisted isPropertyNames checks.
When to use
Use when reconstructing documents that may contain checks created by isPropertyNames.
See
- isPropertyNames for creating the corresponding check
Signature
declare const isPropertyNamesReviver: SchemaRepresentation.FilterReviver<null>isSizeBetween
Validates that a value's size is within the specified range. Works with
values that have a size property, such as Set or Map.
Details
JSON Schema:
This check does not have a direct JSON Schema equivalent, as it applies to
values with a size property rather than standard JSON Schema types.
Arbitrary:
When generating test data with fast-check, this applies node-local
minLength and maxLength constraints. Generators for values with a final
.size, such as sets and maps, interpret them as final cardinality.
Signature
declare function isSizeBetween(minimum: number, maximum: number, annotations?: Filter): Filter<{ readonly size: number;}>isSizeBetweenReviver
Reviver for persisted isSizeBetween checks.
When to use
Use when reconstructing documents that may contain checks created by isSizeBetween.
See
- isSizeBetween for creating the corresponding check
Signature
declare const isSizeBetweenReviver: SchemaRepresentation.FilterReviver<{ readonly maximum: number; readonly minimum: number;}>isStartsWith
Validates at runtime that a string starts with the specified literal prefix.
Details
RegExp metacharacters in the prefix are escaped in JSON Schema and arbitrary
metadata so that the generated patterns retain literal startsWith semantics.
Signature
declare function isStartsWith(startsWith: string, annotations?: Filter): Filter<string>isStartsWithReviver
Reviver for persisted isStartsWith checks.
When to use
Use when reconstructing documents that may contain checks created by isStartsWith.
See
- isStartsWith for creating the corresponding check
Signature
declare const isStartsWithReviver: SchemaRepresentation.FilterReviver<{ readonly startsWith: string;}>isStringBigInt
Validates that a string is a signed base-10 integer literal for Effect's BigInt string encoding.
Details
The check uses the pattern ^-?\d+$. It does not accept leading +, decimal
points, exponent notation, separators, or non-decimal inputs such as
hexadecimal strings.
JSON Schema:
This check corresponds to a pattern constraint with the same signed
base-10 integer pattern.
Signature
declare function isStringBigInt(annotations?: Filter): Filter<string>isStringBigIntReviver
Reviver for persisted isStringBigInt checks.
When to use
Use when reconstructing documents that may contain checks created by isStringBigInt.
See
- isStringBigInt for creating the corresponding check
Signature
declare const isStringBigIntReviver: SchemaRepresentation.FilterReviver<null>isStringFinite
Validates that a string represents a finite number.
Details
JSON Schema:
This check corresponds to a pattern constraint in JSON Schema that matches
strings representing finite numbers.
Arbitrary:
When generating test data with fast-check, this applies a patterns
constraint to ensure generated strings match the number string pattern.
Signature
declare function isStringFinite(annotations?: Filter): Filter<string>isStringFiniteReviver
Reviver for persisted isStringFinite checks.
When to use
Use when reconstructing documents that may contain checks created by isStringFinite.
See
- isStringFinite for creating the corresponding check
Signature
declare const isStringFiniteReviver: SchemaRepresentation.FilterReviver<null>isStringSymbol
Validates that a string has the Symbol(description) format used by Effect's
symbol string encoding.
Details
The check uses the pattern ^Symbol\((.*)\)$. It is not a general test for
whether a string can be passed to JavaScript's Symbol() function.
Signature
declare function isStringSymbol(annotations?: Filter): Filter<string>isStringSymbolReviver
Reviver for persisted isStringSymbol checks.
When to use
Use when reconstructing documents that may contain checks created by isStringSymbol.
See
- isStringSymbol for creating the corresponding check
Signature
declare const isStringSymbolReviver: SchemaRepresentation.FilterReviver<null>Validates that a string has no leading or trailing whitespace.
Details
JSON Schema:
This check corresponds to a pattern constraint in JSON Schema that
matches strings without leading or trailing whitespace.
Arbitrary:
When generating test data with fast-check, this applies a patterns
constraint to ensure generated strings match the trimmed pattern.
Signature
declare function isTrimmed(annotations?: Filter): Filter<string>isTrimmedReviver
Reviver for persisted isTrimmed checks.
When to use
Use when reconstructing documents that may contain checks created by isTrimmed.
See
- isTrimmed for creating the corresponding check
Signature
declare const isTrimmedReviver: SchemaRepresentation.FilterReviver<null>Validates that a number is a 32-bit unsigned integer (range: 0 to 4,294,967,295).
Details
JSON Schema:
This check corresponds to the format: "uint32" constraint in OpenAPI 3.1,
or minimum/maximum constraints in other JSON Schema targets.
Arbitrary:
When generating test data with fast-check, this applies integer and range constraints to ensure generated numbers are 32-bit unsigned integers.
Signature
declare function isUint32(annotations?: Filter): FilterGroup<number>Validates that a string is a valid ULID (Universally Unique Lexicographically Sortable Identifier).
Details
JSON Schema:
This check corresponds to a pattern constraint in JSON Schema that matches
the ULID format.
Arbitrary:
When generating test data with fast-check, this applies a patterns
constraint to ensure generated strings match the ULID pattern.
Signature
declare function isULID(annotations?: Filter): Filter<string>isULIDReviver
Reviver for persisted isULID checks.
When to use
Use when reconstructing documents that may contain checks created by isULID.
See
- isULID for creating the corresponding check
Signature
declare const isULIDReviver: SchemaRepresentation.FilterReviver<null>isUncapitalized
Validates that the first character of a string is unchanged by
toLowerCase().
Details
Empty strings pass. Strings whose first character has no uppercase form, such as a digit, punctuation mark, or whitespace, also pass.
Signature
declare function isUncapitalized(annotations?: Filter): Filter<string>isUncapitalizedReviver
Reviver for persisted isUncapitalized checks.
When to use
Use when reconstructing documents that may contain checks created by isUncapitalized.
See
- isUncapitalized for creating the corresponding check
Signature
declare const isUncapitalizedReviver: SchemaRepresentation.FilterReviver<null>Validates that all items in an array are unique according to Effect equality.
Details
JSON Schema:
This check corresponds to the uniqueItems: true constraint in JSON Schema.
Arbitrary:
When generating test data with fast-check, this applies a node-local
unique: true constraint. Array generators translate it to fast-check
uniqueArray using Effect equality.
Signature
declare function isUnique<T>(annotations?: Filter): Filter<readonly Array<T>>isUniqueReviver
Reviver for persisted isUnique checks.
When to use
Use when reconstructing documents that may contain checks created by isUnique.
See
- isUnique for creating the corresponding check
Signature
declare const isUniqueReviver: SchemaRepresentation.FilterReviver<null>isUppercased
Validates that a string is unchanged by JavaScript's toUpperCase().
Details
This accepts empty strings and characters that do not have lowercase forms, such as digits, punctuation, and whitespace. It rejects strings that would change when uppercased.
Signature
declare function isUppercased(annotations?: Filter): Filter<string>isUppercasedReviver
Reviver for persisted isUppercased checks.
When to use
Use when reconstructing documents that may contain checks created by isUppercased.
See
- isUppercased for creating the corresponding check
Signature
declare const isUppercasedReviver: SchemaRepresentation.FilterReviver<null>Validates that a string is a strict Universally Unique Identifier (UUID).
When to use
Use when you need UUID semantics, including version and RFC variant bits, rather than only the dashed hexadecimal shape.
Details
Without a version argument, this accepts UUID versions 1 through 8, the nil
UUID (00000000-0000-0000-0000-000000000000), and the max UUID
(ffffffff-ffff-ffff-ffff-ffffffffffff). With a version argument, this
accepts only UUIDs with that version and RFC variant bits; nil and max UUIDs
are not versioned UUIDs and do not match version-specific checks.
JSON Schema:
This check corresponds to a pattern constraint in JSON Schema that matches
UUID format, and includes a format: "uuid" annotation.
Arbitrary:
When generating test data with fast-check, this applies a patterns
constraint to ensure generated strings match the UUID pattern.
See
- isGUID for shape-only GUID validation.
Signature
declare function isUUID(version?: 2 | 1 | 5 | 3 | 4 | 6 | 7 | 8, annotations?: Filter): Filter<string>isUUIDReviver
Reviver for persisted isUUID checks.
When to use
Use when reconstructing documents that may contain checks created by isUUID.
See
- isUUID for creating the corresponding check
Signature
declare const isUUIDReviver: SchemaRepresentation.FilterReviver<{ readonly version: 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | null;}>makeIsBetween
Creates an inclusive or exclusive range check for any ordered type from an
Order.Order instance.
Signature
declare function makeIsBetween<T>(deriveOptions: { readonly annotate?: (options: { readonly exclusiveMaximum?: boolean; readonly exclusiveMinimum?: boolean; readonly maximum: T; readonly minimum: T; }) => Filter; readonly formatter?: Formatter<T, string>; readonly order: Order<T>;}): (options: { readonly exclusiveMaximum?: boolean; readonly exclusiveMinimum?: boolean; readonly maximum: T; readonly minimum: T;}, annotations?: Filter) => Filter<T>makeIsGreaterThan
Creates a greater-than (>) check for any ordered type from an
Order.Order instance.
Signature
declare function makeIsGreaterThan<T>(options: { readonly annotate?: (exclusiveMinimum: T) => Filter; readonly formatter?: Formatter<T, string>; readonly order: Order<T>;}): (exclusiveMinimum: T, annotations?: Filter) => Filter<T>makeIsGreaterThanOrEqualTo
Creates a greater-than-or-equal-to (>=) check for any ordered type from an
Order.Order instance.
Signature
declare function makeIsGreaterThanOrEqualTo<T>(options: { readonly annotate?: (exclusiveMinimum: T) => Filter; readonly formatter?: Formatter<T, string>; readonly order: Order<T>;}): (minimum: T, annotations?: Filter) => Filter<T>makeIsLessThan
Creates a less-than (<) check for any ordered type from an Order.Order
instance.
Signature
declare function makeIsLessThan<T>(options: { readonly annotate?: (exclusiveMaximum: T) => Filter; readonly formatter?: Formatter<T, string>; readonly order: Order<T>;}): (exclusiveMaximum: T, annotations?: Filter) => Filter<T>makeIsLessThanOrEqualTo
Creates a less-than-or-equal-to (<=) check for any ordered type from an
Order.Order instance.
Signature
declare function makeIsLessThanOrEqualTo<T>(options: { readonly annotate?: (exclusiveMaximum: T) => Filter; readonly formatter?: Formatter<T, string>; readonly order: Order<T>;}): (maximum: T, annotations?: Filter) => Filter<T>makeIsMultipleOf
Creates a divisibility check for any numeric type from a remainder function and a zero value.
Signature
declare function makeIsMultipleOf<T>(options: { readonly annotate?: (divisor: T) => Filter; readonly formatter?: Formatter<T, string>; readonly remainder: (input: T, divisor: T) => T; readonly zero: NoInfer<T>;}): (divisor: T, annotations?: Filter) => Filter<T>