json-schema-to-ts

What is json-schema-to-ts?

The json-schema-to-ts npm package is a utility that converts JSON Schema definitions into TypeScript types. This allows developers to ensure type safety and consistency between their JSON data and TypeScript code.

What are json-schema-to-ts's main functionalities?

Convert JSON Schema to TypeScript Types

This feature allows you to convert a JSON Schema into a TypeScript type. The `FromSchema` utility type takes a JSON Schema object and infers the corresponding TypeScript type.

import { FromSchema } from 'json-schema-to-ts';

const userSchema = {
  type: 'object',
  properties: {
    id: { type: 'string' },
    name: { type: 'string' },
    age: { type: 'number' }
  },
  required: ['id', 'name']
} as const;

type User = FromSchema<typeof userSchema>;

const user: User = {
  id: '123',
  name: 'John Doe',
  age: 30
};

Type Validation

This feature ensures that the TypeScript types derived from JSON Schema are validated at compile time, reducing runtime errors and improving code reliability.

import { FromSchema } from 'json-schema-to-ts';

const productSchema = {
  type: 'object',
  properties: {
    productId: { type: 'string' },
    price: { type: 'number' }
  },
  required: ['productId', 'price']
} as const;

type Product = FromSchema<typeof productSchema>;

const product: Product = {
  productId: 'abc123',
  price: 19.99
};

Other packages similar to json-schema-to-ts

typescript-json-schema

The typescript-json-schema package generates JSON Schema from your TypeScript types. It works in the opposite direction compared to json-schema-to-ts, which converts JSON Schema to TypeScript types. This package is useful if you start with TypeScript types and need to generate JSON Schema for validation or documentation purposes.

ajv

Ajv is a JSON Schema validator that can also generate TypeScript types from JSON Schema using additional plugins. While its primary focus is on validation, it offers similar functionality to json-schema-to-ts when combined with the appropriate plugins.

zod

Zod is a TypeScript-first schema declaration and validation library. It allows you to define schemas in TypeScript and infer types from them. While it doesn't convert JSON Schema to TypeScript types directly, it provides a similar type-safe experience for defining and validating data structures.

README

If you use this repo, star it ✨

Stop typing twice 🙅‍♂️

A lot of projects use JSON schemas for runtime data validation along with TypeScript for static type checking.

Their code may look like this:

const dogSchema = {
  type: "object",
  properties: {
    name: { type: "string" },
    age: { type: "integer" },
    hobbies: { type: "array", items: { type: "string" } },
    favoriteFood: { enum: ["pizza", "taco", "fries"] },
  },
  required: ["name", "age"],
};

type Dog = {
  name: string;
  age: number;
  hobbies?: string[];
  favoriteFood?: "pizza" | "taco" | "fries";
};

Both objects carry similar if not exactly the same information. This is a code duplication that can annoy developers and introduce bugs if not properly maintained.

That's when json-schema-to-ts comes to the rescue 💪

FromSchema

The FromSchema method lets you infer TS types directly from JSON schemas:

import { FromSchema } from "json-schema-to-ts";

const dogSchema = {
  type: "object",
  properties: {
    name: { type: "string" },
    age: { type: "integer" },
    hobbies: { type: "array", items: { type: "string" } },
    favoriteFood: { enum: ["pizza", "taco", "fries"] },
  },
  required: ["name", "age"],
} as const;

type Dog = FromSchema<typeof dogSchema>;
// => Will infer the same type as above

Schemas can even be nested, as long as you don't forget the as const statement:

const catSchema = { ... } as const;

const petSchema = {
  anyOf: [dogSchema, catSchema],
} as const;

type Pet = FromSchema<typeof petSchema>;
// => Will work 🙌

The as const statement is used so that TypeScript takes the schema definition to the word (e.g. true is interpreted as the true constant and not widened as boolean). It is pure TypeScript and has zero impact on the compiled code.

If you don't mind impacting the compiled code, you can use the asConst util, which simply returns the schema while narrowing its inferred type.

import { asConst } from "json-schema-to-ts";

const dogSchema = asConst({
  type: "object",
  ...
});

type Dog = FromSchema<typeof dogSchema>;
// => Will work as well 🙌

Why use json-schema-to-ts?

If you're looking for runtime validation with added types, libraries like yup, zod or runtypes may suit your needs while being easier to use!

On the other hand, JSON schemas have the benefit of being widely used, more versatile and reusable (swaggers, APIaaS...).

If you prefer to stick to them and can define your schemas in TS instead of JSON (importing JSONs as const is not available yet), then json-schema-to-ts is made for you:

• ✅ Schema validation FromSchema raises TS errors on invalid schemas, based on DefinitelyTyped's definitions
• ✨ No impact on compiled code: json-schema-to-ts only operates in type space. And after all, what's lighter than a dev-dependency?
• 🍸 DRYness: Less code means less embarrassing typos
• 🤝 Real-time consistency: See that string that you used instead of an enum? Or this additionalProperties you confused with additionalItems? Or forgot entirely? Well, json-schema-to-ts does!
• 🔧 Reliability: FromSchema is extensively tested against AJV, and covers all the use cases that can be handled by TS for now*
• 🏋️‍♂️ Help on complex schemas: Get complex schemas right first time with instantaneous typing feedbacks! For instance, it's not obvious the following schema can never be validated:

const addressSchema = {
  type: "object",
  allOf: [
    {
      properties: {
        street: { type: "string" },
        city: { type: "string" },
        state: { type: "string" },
      },
      required: ["street", "city", "state"],
    },
    {
      properties: {
        type: { enum: ["residential", "business"] },
      },
    },
  ],
  additionalProperties: false,
} as const;

But it is with FromSchema!

type Address = FromSchema<typeof addressSchema>;
// => never 🙌

*If json-schema-to-ts misses one of your use case, feel free to open an issue 🤗

Table of content

• Installation
• Use cases
  • Const
  • Enums
  • Primitive types
  • Nullable
  • Arrays
  • Tuples
  • Objects
• Combining schemas
  • AnyOf
  • AllOf
  • OneOf
  • Not
  • If/Then/Else
  • Definitions
  • References
• Deserialization
• Typeguards
  • Validators
  • Compilers
• FAQ

Installation

# npm
npm install --save-dev json-schema-to-ts

# yarn
yarn add --dev json-schema-to-ts

json-schema-to-ts requires TypeScript 4.3+. Using strict mode is required, as well as (apparently) turning off noStrictGenericChecks.

Use cases

Const

const fooSchema = {
  const: "foo",
} as const;

type Foo = FromSchema<typeof fooSchema>;
// => "foo"

Enums

const enumSchema = {
  enum: [true, 42, { foo: "bar" }],
} as const;

type Enum = FromSchema<typeof enumSchema>;
// => true | 42 | { foo: "bar"}

You can also go full circle with typescript enums.

enum Food {
  Pizza = "pizza",
  Taco = "taco",
  Fries = "fries",
}

const enumSchema = {
  enum: Object.values(Food),
} as const;

type Enum = FromSchema<typeof enumSchema>;
// => Food

Primitive types

const primitiveTypeSchema = {
  type: "null", // "boolean", "string", "integer", "number"
} as const;

type PrimitiveType = FromSchema<typeof primitiveTypeSchema>;
// => null, boolean, string or number

const primitiveTypesSchema = {
  type: ["null", "string"],
} as const;

type PrimitiveTypes = FromSchema<typeof primitiveTypesSchema>;
// => null | string

For more complex types, refinment keywords like required or additionalItems will apply 🙌

Nullable

const nullableSchema = {
  type: "string",
  nullable: true,
} as const;

type Nullable = FromSchema<typeof nullableSchema>;
// => string | null

Arrays

const arraySchema = {
  type: "array",
  items: { type: "string" },
} as const;

type Array = FromSchema<typeof arraySchema>;
// => string[]

Tuples

const tupleSchema = {
  type: "array",
  items: [{ type: "boolean" }, { type: "string" }],
} as const;

type Tuple = FromSchema<typeof tupleSchema>;
// => [] | [boolean] | [boolean, string] | [boolean, string, ...unknown[]]

FromSchema supports the additionalItems keyword:

const tupleSchema = {
  type: "array",
  items: [{ type: "boolean" }, { type: "string" }],
  additionalItems: false,
} as const;

type Tuple = FromSchema<typeof tupleSchema>;
// => [] | [boolean] | [boolean, string]

const tupleSchema = {
  type: "array",
  items: [{ type: "boolean" }, { type: "string" }],
  additionalItems: { type: "number" },
} as const;

type Tuple = FromSchema<typeof tupleSchema>;
// => [] | [boolean] | [boolean, string] | [boolean, string, ...number[]]

...as well as the minItems and maxItems keywords:

const tupleSchema = {
  type: "array",
  items: [{ type: "boolean" }, { type: "string" }],
  minItems: 1,
  maxItems: 2,
} as const;

type Tuple = FromSchema<typeof tupleSchema>;
// => [boolean] | [boolean, string]

Additional items will only work if Typescript's strictNullChecks option is activated

Objects

const objectSchema = {
  type: "object",
  properties: {
    foo: { type: "string" },
    bar: { type: "number" },
  },
  required: ["foo"],
} as const;

type Object = FromSchema<typeof objectSchema>;
// => { [x: string]: unknown; foo: string; bar?: number; }

FromSchema partially supports the additionalProperties and patternProperties keywords:

• additionalProperties can be used to deny additional properties.

const closedObjectSchema = {
  ...objectSchema,
  additionalProperties: false,
} as const;

type Object = FromSchema<typeof closedObjectSchema>;
// => { foo: string; bar?: number; }

• Used on their own, additionalProperties and/or patternProperties can be used to type unnamed properties.

const openObjectSchema = {
  type: "object",
  additionalProperties: {
    type: "boolean",
  },
  patternProperties: {
    "^S": { type: "string" },
    "^I": { type: "integer" },
  },
} as const;

type Object = FromSchema<typeof openObjectSchema>;
// => { [x: string]: string | number | boolean }

• However, when used in combination with the properties keyword, extra properties will always be typed as unknown to avoid conflicts.

Combining schemas

AnyOf

const anyOfSchema = {
  anyOf: [
    { type: "string" },
    {
      type: "array",
      items: { type: "string" },
    },
  ],
} as const;

type AnyOf = FromSchema<typeof anyOfSchema>;
// => string | string[]

FromSchema will correctly infer factored schemas:

const factoredSchema = {
  type: "object",
  properties: {
    bool: { type: "boolean" },
  },
  required: ["bool"],
  anyOf: [
    {
      properties: {
        str: { type: "string" },
      },
      required: ["str"],
    },
    {
      properties: {
        num: { type: "number" },
      },
    },
  ],
} as const;

type Factored = FromSchema<typeof factoredSchema>;
// => {
//  [x:string]: unknown;
//  bool: boolean;
//  str: string;
// } | {
//  [x:string]: unknown;
//  bool: boolean;
//  num?: number;
// }

OneOf

FromSchema will parse the oneOf keyword in the same way as anyOf:

const catSchema = {
  type: "object",
  oneOf: [
    {
      properties: {
        name: { type: "string" },
      },
      required: ["name"],
    },
    {
      properties: {
        color: { enum: ["black", "brown", "white"] },
      },
    },
  ],
} as const;

type Cat = FromSchema<typeof catSchema>;
// => {
//  [x: string]: unknown;
//  name: string;
// } | {
//  [x: string]: unknown;
//  color?: "black" | "brown" | "white";
// }

// => Error will NOT be raised 😱
const invalidCat: Cat = { name: "Garfield" };

AllOf

const addressSchema = {
  type: "object",
  allOf: [
    {
      properties: {
        address: { type: "string" },
        city: { type: "string" },
        state: { type: "string" },
      },
      required: ["address", "city", "state"],
    },
    {
      properties: {
        type: { enum: ["residential", "business"] },
      },
    },
  ],
} as const;

type Address = FromSchema<typeof addressSchema>;
// => {
//   [x: string]: unknown;
//   address: string;
//   city: string;
//   state: string;
//   type?: "residential" | "business";
// }

Not

Exclusions require heavy computations, that can sometimes be aborted by Typescript and end up in any inferred types. For this reason, they are not activated by default: You can opt-in with the parseNotKeyword option.

const tupleSchema = {
  type: "array",
  items: [{ const: 1 }, { const: 2 }],
  additionalItems: false,
  not: {
    const: [1],
  },
} as const;

type Tuple = FromSchema<typeof tupleSchema, { parseNotKeyword: true }>;
// => [] | [1, 2]

const primitiveTypeSchema = {
  not: {
    type: ["array", "object"],
  },
} as const;

type PrimitiveType = FromSchema<
  typeof primitiveTypeSchema,
  { parseNotKeyword: true }
>;
// => null | boolean | number | string

In objects and tuples, the exclusion will propagate to properties/items if it can collapse on a single one.

// 👍 Can be propagated on "animal" property
const petSchema = {
  type: "object",
  properties: {
    animal: { enum: ["cat", "dog", "boat"] },
  },
  not: {
    properties: { animal: { const: "boat" } },
  },
  required: ["animal"],
  additionalProperties: false,
} as const;

type Pet = FromSchema<typeof petSchema, { parseNotKeyword: true }>;
// => { animal: "cat" | "dog" }

// ❌ Cannot be propagated
const petSchema = {
  type: "object",
  properties: {
    animal: { enum: ["cat", "dog"] },
    color: { enum: ["black", "brown", "white"] },
  },
  not: {
    const: { animal: "cat", color: "white" },
  },
  required: ["animal", "color"],
  additionalProperties: false,
} as const;

type Pet = FromSchema<typeof petSchema, { parseNotKeyword: true }>;
// => { animal: "cat" | "dog", color: "black" | "brown" | "white" }

As some actionable keywords are not yet parsed, exclusions that resolve to never are granted the benefit of the doubt and omitted. For the moment, FromSchema assumes that you are not crafting unvalidatable exclusions.

const oddNumberSchema = {
  type: "number",
  not: { multipleOf: 2 },
} as const;

type OddNumber = FromSchema<typeof oddNumberSchema, { parseNotKeyword: true }>;
// => should and will resolve to "number"

const incorrectSchema = {
  type: "number",
  not: { bogus: "option" },
} as const;

type Incorrect = FromSchema<typeof incorrectSchema, { parseNotKeyword: true }>;
// => should resolve to "never" but will still resolve to "number"

Also, keep in mind that TypeScript misses refinment types:

const goodLanguageSchema = {
  type: "string",
  not: {
    enum: ["Bummer", "Silly", "Lazy sod !"],
  },
} as const;

type GoodLanguage = FromSchema<
  typeof goodLanguageSchema,
  { parseNotKeyword: true }
>;
// => string

If/Then/Else

For the same reason as the Not keyword, conditions parsing is not activated by default: You can opt-in with the parseIfThenElseKeywords option.

const petSchema = {
  type: "object",
  properties: {
    animal: { enum: ["cat", "dog"] },
    dogBreed: { enum: Object.values(DogBreed) },
    catBreed: { enum: Object.values(CatBreed) },
  },
  required: ["animal"],
  if: {
    properties: {
      animal: { const: "dog" },
    },
  },
  then: {
    required: ["dogBreed"],
    not: { required: ["catBreed"] },
  },
  else: {
    required: ["catBreed"],
    not: { required: ["dogBreed"] },
  },
  additionalProperties: false,
} as const;

type Pet = FromSchema<typeof petSchema, { parseIfThenElseKeywords: true }>;
// => {
//  animal: "dog";
//  dogBreed: DogBreed;
//  catBreed?: CatBreed | undefined
// } | {
//  animal: "cat";
//  catBreed: CatBreed;
//  dogBreed?: DogBreed | undefined
// }

☝️ FromSchema computes the resulting type as (If ∩ Then) ∪ (¬If ∩ Else). While correct in theory, remember that the not keyword is not perfectly assimilated, which may become an issue in some complex schemas.

Definitions

const userSchema = {
  type: "object",
  properties: {
    name: { $ref: "#/$defs/name" },
    age: { $ref: "#/$defs/age" },
  },
  required: ["name", "age"],
  additionalProperties: false,
  $defs: {
    name: { type: "string" },
    age: { type: "integer" },
  },
} as const;

type User = FromSchema<typeof userSchema>;
// => {
//  name: string;
//  age: number;
// }

☝️ Wether in definitions or references, FromSchema will not work on recursive schemas for now.

References

Unlike run-time validator classes like AJV, TS types cannot withhold internal states. Thus, they cannot keep any identified schemas in memory.

But you can hydrate them via the references option:

const userSchema = {
  $id: "http://example.com/schemas/user.json",
  type: "object",
  properties: {
    name: { type: "string" },
    age: { type: "integer" },
  },
  required: ["name", "age"],
  additionalProperties: false,
} as const;

const usersSchema = {
  type: "array",
  items: {
    $ref: "http://example.com/schemas/user.json",
  },
} as const;

type Users = FromSchema<
  typeof usersSchema,
  { references: [typeof userSchema] }
>;
// => {
//  name: string;
//  age: string;
// }[]

const anotherUsersSchema = {
  $id: "http://example.com/schemas/users.json",
  type: "array",
  items: { $ref: "user.json" },
} as const;
// => Will work as well 🙌

Deserialization

You can specify deserialization patterns with the deserialize option:

const userSchema = {
  type: "object",
  properties: {
    name: { type: "string" },
    email: {
      type: "string",
      format: "email",
    },
    birthDate: {
      type: "string",
      format: "date-time",
    },
  },
  required: ["name", "email", "birthDate"],
  additionalProperties: false,
} as const;

type Email = string & { brand: "email" };

type User = FromSchema<
  typeof userSchema,
  {
    deserialize: [
      {
        pattern: {
          type: "string";
          format: "email";
        };
        output: Email;
      },
      {
        pattern: {
          type: "string";
          format: "date-time";
        };
        output: Date;
      }
    ];
  }
>;
// => {
//  name: string;
//  email: Email;
//  birthDate: Date;
// }

Typeguards

You can use FromSchema to implement your own typeguard:

import { FromSchema, Validator } from "json-schema-to-ts";

// It's important to:
// - Explicitely type your validator as Validator
// - Use FromSchema as the default value of a 2nd generic first
const validate: Validator = <S extends JSONSchema, T = FromSchema<S>>(
  schema: S,
  data: unknown
): data is T => {
  const isDataValid: boolean = ... // Implement validation here
  return isDataValid;
};

const petSchema = { ... } as const
let data: unknown;
if (validate(petSchema, data)) {
  const { name, ... } = data; // data is typed as Pet 🙌
}

If needed, you can provide FromSchema options and additional validation options to the Validator type:

type FromSchemaOptions = { parseNotKeyword: true };
type ValidationOptions = [{ fastValidate: boolean }]

const validate: Validator<FromSchemaOptions, ValidationOptions> = <
  S extends JSONSchema,
  T = FromSchema<S, FromSchemaOptions>
>(
  schema: S,
  data: unknown,
  ...validationOptions: ValidationOptions
): data is T => { ... };

json-schema-to-ts also exposes two helpers to write type guards. They don't impact the code that you wrote (they simply return it), but turn it into type guards.

You can use them to wrap either validators or compilers.

Validators

A validator is a function that receives a schema plus some data, and returns true if the data is valid compared to the schema, false otherwise.

You can use the wrapValidatorAsTypeGuard helper to turn validators into type guards. Here is an implementation with ajv:

import Ajv from "ajv";
import { $Validator, wrapValidatorAsTypeGuard } from "json-schema-to-ts";

const ajv = new Ajv();

// The initial validator definition is up to you
// ($Validator is prefixed with $ to differ from resulting type guard)
const $validate: $Validator = (schema, data) => ajv.validate(schema, data);

const validate = wrapValidatorAsTypeGuard($validate);

const petSchema = { ... } as const;

let data: unknown;
if (validate(petSchema, data)) {
  const { name, ... } = data; // data is typed as Pet 🙌
}

If needed, you can provide FromSchema options and additional validation options as generic types:

type FromSchemaOptions = { parseNotKeyword: true };
type ValidationOptions = [{ fastValidate: boolean }]

const $validate: $Validator<ValidationOptions> = (
  schema,
  data,
  ...validationOptions // typed as ValidationOptions
) => { ... };

// validate will inherit from ValidationOptions
const validate = wrapValidatorAsTypeGuard($validate);

// with special FromSchemaOptions
// (ValidationOptions needs to be re-provided)
const validate = wrapValidatorAsTypeGuard<
  FromSchemaOptions,
  ValidationOptions
>($validate);

Compilers

A compiler is a function that takes a schema as an input and returns a data validator for this schema as an output.

You can use the wrapCompilerAsTypeGuard helper to turn compilers into type guard builders. Here is an implementation with ajv:

import Ajv from "ajv";
import { $Compiler, wrapCompilerAsTypeGuard } from "json-schema-to-ts";

// The initial compiler definition is up to you
// ($Compiler is prefixed with $ to differ from resulting type guard)
const $compile: $Compiler = (schema) => ajv.compile(schema);

const compile = wrapCompilerAsTypeGuard($compile);

const petSchema = { ... } as const;

const isPet = compile(petSchema);

let data: unknown;
if (isPet(data)) {
  const { name, ... } = data; // data is typed as Pet 🙌
}

If needed, you can provide FromSchema options, additional compiling and validation options as generic types:

type FromSchemaOptions = { parseNotKeyword: true };
type CompilingOptions = [{ fastCompile: boolean }];
type ValidationOptions = [{ fastValidate: boolean }];

const $compile: $Compiler<CompilingOptions, ValidationOptions> = (
  schema,
  ...compilingOptions // typed as CompilingOptions
) => {
  ...

  return (
    data,
    ...validationOptions // typed as ValidationOptions
  ) => { ...  };
};

// compile will inherit from all options
const compile = wrapCompilerAsTypeGuard($compile);

// with special FromSchemaOptions
// (options need to be re-provided)
const compile = wrapCompilerAsTypeGuard<
  FromSchemaOptions,
  CompilingOptions,
  ValidationOptions
>($compile);

Frequently Asked Questions

• Does json-schema-to-ts work on .json file schemas?
• Can I assign JSONSchema to my schema and use FromSchema at the same time?
• Will json-schema-to-ts impact the performances of my IDE/compiler?
• I get a type instantiation is excessively deep and potentially infinite error, what should I do?