Which JSON Schema drafts are supported?

The converter is optimized for JSON Schema Draft 7 but also handles common Draft 4/6 patterns including 'definitions' (mapped to '$defs'). It supports type, properties, required, enum, oneOf, anyOf, allOf, $ref, items, and additionalProperties.

How does it handle required vs optional fields?

Properties listed in the 'required' array become mandatory TypeScript properties. All other properties get the optional modifier (?). This matches TypeScript's strict null-checking behavior.

Is my JSON Schema sent to a server?

No. All parsing and TypeScript generation happens 100% client-side in your browser. Your schemas never leave your device.

Can it handle $ref references?

Yes. The converter resolves $ref paths (e.g. '#/$defs/Address') to their corresponding TypeScript interface names. All definitions in $defs or definitions blocks are emitted as separate named interfaces or type aliases.

JSON Schema → TypeScript

Paste your JSON Schema and instantly generate clean, idiomatic TypeScript interfaces. Perfect for consuming OpenAPI specs, validating API contracts, and accelerating type-safe development.

JSON Schema Input

1.3KB

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "User",
  "type": "object",
  "properties": {
    "id": { "type": "string" },
    "email": { "type": "string", "format": "email" },
    "name": { "type": "string" },
    "age": { "type": "integer", "minimum": 0 },
    "isActive": { "type": "boolean" },
    "role": { "type": "string", "enum": ["admin", "editor", "viewer"] },
    "tags": {
      "type": "array",
      "items": { "type": "string" }
    },
    "address": {
      "type": "object",
      "properties": {
        "street": { "type": "string" },
        "city": { "type": "string" },
        "zip": { "type": "string" }
      },
      "required": ["street", "city"]
    },
    "metadata": {
      "type": "object",
      "additionalProperties": { "type": "string" }
    }
  },
  "required": ["id", "email", "isActive", "role", "tags"],
  "$defs": {
    "Status": {
      "type": "string",
      "enum": ["active", "inactive", "pending"]
    },
    "Product": {
      "type": "object",
      "properties": {
        "productId": { "type": "string" },
        "price": { "type": "number" },
        "inStock": { "type": "boolean" },
        "categories": {
          "type": "array",
          "items": { "type": "string" }
        }
      },
      "required": ["productId", "price", "inStock"]
    }
  }
}

TypeScript Output

export interface User {
  id: string;
  email: string;
  name?: string;
  age?: number;
  isActive: boolean;
  role: "admin" | "editor" | "viewer";
  tags: string[];
  address?: {
    street: string;
    city: string;
    zip?: string;
  };
  metadata?: Record<string, string>;
}

export type Status = "active" | "inactive" | "pending";

export interface Product {
  productId: string;
  price: number;
  inStock: boolean;
  categories?: string[];
}

Why Convert JSON Schema to TypeScript?

From API Contracts to Type Safety

JSON Schema is the universal language for describing data structures in OpenAPI, AsyncAPI, and configuration files. By converting schemas to TypeScript interfaces, you get compile-time safety when consuming external APIs, eliminating an entire class of runtime errors caused by shape mismatches.

Accelerate Development

Instead of manually writing TypeScript types that mirror your JSON Schema definitions, paste the schema and get production-ready interfaces in milliseconds. The converter handles nested objects, optional fields, enums, and even $ref resolution automatically.

Common Use Cases

Generate types from OpenAPI component schemas
Type API responses from third-party services
Convert database JSON Schema validators to interfaces
Create TypeScript types from event-driven schema registries
Build type-safe SDK clients from API specifications
Validate configuration files with generated types
Bridge Python/Go JSON Schemas into TypeScript frontends
Type form data matching backend validation schemas
Generate interfaces for GraphQL JSON scalar types

How It Works

This tool parses your JSON Schema entirely in the browser and recursively maps each schema node to its TypeScript equivalent:

type: "string" → string
type: "object" with properties → export interface
required: [...] → non-optional fields; others get ?
enum: ["a", "b"] → "a" | "b"
type: "array" → T[]
$ref → named interface reference
$defs / definitions → separate export interface blocks

All processing happens locally in your browser — no schemas are uploaded to any server, ensuring your API contracts remain completely private.

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