JSON to Zod Schema

Convert JSON to Zod schema definitions with optional/required inference, coerce mode, and nested schema support

Schema name

Infer optionalCoerce mode

JSON input

Zod schema

export const addressSchema = z.object({
  street: z.string(),
  city: z.string(),
  zip: z.string(),
});

export const UserSchema = z.object({
  id: z.number().int(),
  name: z.string(),
  email: z.string(),
  age: z.number().int(),
  active: z.boolean(),
  score: z.number(),
  tags: z.array(z.string()),
  address: addressSchema,
  metadata: z.null(),
});

Need TypeScript interfaces instead?JSON to TypeScript →

Updated October 2, 2026. Provided as is. Check the output before you rely on it in production.

How to use JSON to Zod Schema

1

Paste your JSON data

Paste a JSON object or array. Strings become z.string(), numbers z.number(), booleans z.boolean() and null z.null().
2

Configure schema options

Set the schema name, turn on Infer optional to mark fields that are null in your sample as optional, and turn on Coerce mode to emit z.coerce.number() for numeric fields.
3

Review and copy the schemas

Nested objects become separate named schemas. Copy the output into your project for runtime validation with full TypeScript inference.

Questions and answers

What is Zod and why would I use it?

Zod is a TypeScript-first library that validates data at runtime and infers static types from the same schema, so API responses and form input are checked before use. This tool turns sample JSON into z.object schemas, with nested objects as separate schemas, optional and nullable inference and a coerce mode.

How does optional/required inference work?

With Infer optional on, a key missing from some objects in an array of samples gets .optional(). A key that is null in some samples and set in others gets .nullable(). Turn the option off to make every key required.

What is coerce mode?

Coerce mode uses z.coerce.number() instead of z.number(), which automatically converts string inputs to numbers if possible. This is useful when parsing form data or query parameters where all inputs are strings but you need numbers.

How do nested objects work in the generated schema?

Nested objects are converted into separate Zod schemas that reference each other. The root schema imports or directly uses child schemas. This keeps your code modular and reusable.

Can I use this in production?

Yes, absolutely. The generated Zod schemas are production-ready. Copy the output into your TypeScript codebase, import zod, and use the schemas to validate incoming data at runtime.

Use it as an API

JSON to Zod Schema is also callable as a free HTTP JSON API at https://aidevhub.io/api/json-to-zod/ — GET with query parameters or POST with a JSON body, no authentication, CORS enabled, fair use (abusive traffic is throttled at the edge; there is no per-request quota header). Responses return { ok, tool, result, meta }.

curl -s -X POST https://aidevhub.io/api/json-to-zod/ \
  -H "Content-Type: application/json" \
  -d '{"json":"{\"id\":1,\"name\":\"Alice\"}","root_name":"user"}'

Machine-readable contract: /api/tool/json-to-zod.json All API endpoints: /agents/ LLM site index: /llms.txt

For AI agents: how to call this tool

Machine-readable contract, endpoints and examples. Humans can ignore this section.

Best Path For Builders

Dedicated API endpoint

Deterministic outputs, machine-safe contracts, and production-ready examples.

Dedicated API

https://aidevhub.io/api/json-to-zod/

OpenAPI: https://aidevhub.io/api/openapi.yaml

GET /api/json-to-zod/ GET json-to-zod

POST /api/json-to-zod/ POST json-to-zod

JSON to Zod Schema