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JSON Schema and Type Generator

Paste or import JSON to infer a reusable contract, then generate JSON Schema, TypeScript, Zod, Go, Rust, Java, Kotlin, Pydantic, or OpenAPI schema output. It is built for developers turning API responses, webhook payloads, config files, and fixtures into safer code.

Example

JSON input
{
  "id": 42,
  "name": "Ada",
  "roles": ["admin", "editor"],
  "active": true
}
TypeScript output
interface Root {
  id: number;
  name: string;
  roles: string[];
  active: boolean;
}

A sample object on the left, inferred TypeScript types on the right.

Why developers use it

  • Infer JSON Schema draft 2020-12 from sample JSON.
  • Generate TypeScript, Zod, Go, Rust, Java, Kotlin, and Pydantic from the same inferred schema.
  • Generate typed model code for API clients, backend services, and validation layers.
  • Export OpenAPI component schemas for API documentation workflows.
  • Copy or download generated contracts from a private browser workspace.

Common use cases

  • Creating TypeScript types from a new API response.
  • Drafting a JSON Schema for config files, webhook payloads, or fixtures.
  • Generating Zod validators before wiring untrusted JSON into an app.
  • Opening a selected visualizer branch directly in the schema workspace.

How to use it

  1. Add a JSON samplePaste or import a representative JSON payload, ideally one that includes the fields you care about.
  2. Pick your outputChoose JSON Schema, TypeScript, Zod, Go, Rust, Java, Kotlin, Pydantic, or an OpenAPI component.
  3. Review the inferred typesCheck the result for optional fields and any value that could be more than one type.
  4. Copy it into your projectCopy or download the generated contract and drop it into your codebase.

More about this tool

Inference works from a sample

The generator looks at the JSON you paste and infers a shape from it: field names, value types, arrays, and nested objects. Because it works from a sample, the quality of the output depends on the sample. If a field is sometimes null or sometimes missing, include an example that shows that so the inferred type reflects reality rather than one lucky payload.

The base output is a JSON Schema draft 2020-12 contract. Everything else, the TypeScript interfaces, Zod schemas, Go and Rust structs, and the rest, is generated from that same inferred shape, so they agree with each other.

From response to typed code

The point of generating types is to stop hand-writing them. Paste a new API response, get an interface or a struct, and wire it straight into your client. For untrusted input, generate a Zod schema and validate at the boundary so bad data fails fast instead of leaking into your app.

Schema and type generation run in your browser, so source JSON is not uploaded to JSON Toolbox servers.

Related JSON tools

JSON formatter and validatorJSON visualizeronline JSON editorJSON diff and compare tool

Guides

Generate TypeScript from JSONWhat is JSON Schema?Generate Zod, Go, Rust, Pydantic

FAQ

Can JSON Toolbox generate JSON Schema from JSON?

Yes. The schema tool infers a JSON Schema draft 2020-12 contract from valid JSON in the browser.

Can I generate TypeScript or Zod from JSON?

Yes. The schema workspace can generate TypeScript types, Zod validator code, Go structs, Rust serde structs, Java POJOs, Kotlin data classes, and Pydantic models from the inferred JSON Schema.

Why does the generated type miss an optional field?

Inference only sees the sample you paste. If a field is missing or null in some payloads, include an example that shows that so the output marks it optional or nullable.

Which draft of JSON Schema does it use?

It infers a JSON Schema draft 2020-12 contract, and the other type outputs are generated from that same shape.

Is schema generation private?

Yes. JSON parsing, schema inference, and type generation run locally in your browser.