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JSON to Zod Schema Generator

Generate a first-pass Zod validator from a real JSON sample, then review it as code—not as a guaranteed contract. Tune optional fields, unknown keys, descriptions and enum inference before testing.

Read the full guide

Direct answer

Zod schemas validate data at runtime and can infer TypeScript types. This generator observes one JSON sample; it cannot discover optional, nullable or union cases that are absent from that sample.

Generate the first draft, then test and refine it against the real data contract.

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Input JSON

Example JSON loaded.
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Output Zod Schema

1import { z } from "zod";2 3export const schema = z.object({4  user: z.object({5    id: z.number().int(),6    name: z.string(),7    email: z.string().email(),8    isActive: z.boolean(),9    roles: z.array(z.string()),10    profile: z.object({11      age: z.number().int(),12      address: z.object({13        city: z.string(),14        zip: z.string(),15      }),16    }),17    lastLogin: z.string().datetime(),18  }),19});20export type Schema = z.infer<typeof schema>;21

How to use it

  1. Paste/upload JSON or fetch a supported public sample.
  2. Set the schema name/style, type inference, unknown-key policy, optional fields, descriptions and enum behavior.
  3. Review the generated .ts, test it with representative payloads and then copy/download.

Key features and settings

  • Configurable schema name and output style.
  • Unknown-key, optional-field and description controls.
  • Observed format/enum inference and readable TypeScript output.
  • Raw code and inferred-type preview.

Supported input and output

Input: JSON text or file, a supported public URL. Output: .ts.

Use cases

  • Bootstrap runtime validation for API responses.
  • Create an initial schema for forms or server request validation.
  • Compare Zod runtime validation with static TypeScript declarations.

Which workflow should you choose?

Use JSON to Zod Schema Generator for: Configurable schema name and output style. Use JSON to TypeScript Generator for: Interface or type-alias output.

Privacy and data path

In the current implementation, pasted/uploaded content is processed in the browser, while “Extract from URL” uses a server-side proxy to fetch the source.

Limits and troubleshooting

  • Do not mark every observed field required if production payloads may omit it.
  • Test more than one sample, including nulls, errors and boundary values, before committing the schema.
  • There is no universal size promise; large-input performance depends on browser memory and device capability.

FAQ

Is the generated Zod schema production-ready?

Treat it as a starting point. Review optional/nullable fields, unions, refinements and business constraints, then test valid and invalid samples.

Is my data uploaded to a server?

In the current implementation, pasted/uploaded content is processed in the browser, while “Extract from URL” uses a server-side proxy to fetch the source.

What are the file or data limits?

There is no universal size promise; large-input performance depends on browser memory and device capability.

Does it work on mobile?

The page is web-based and may work in a modern mobile browser, but file-picker behavior, memory and cross-device compatibility are not verified for every device. Use a desktop browser for large or complex inputs.

Which workflow should you choose?

Use JSON to Zod Schema Generator for: Configurable schema name and output style. Use JSON to TypeScript Generator for: Interface or type-alias output.

Related tools

JSON to TypeScript GeneratorGenerate compile-time interfaces/types from a JSON payload.JSON to JSON Schema GeneratorGenerate standalone JSON Schema with explicit dialect control.JSON Formatter OnlineFormat and validate JSON before conversion, or inspect the result afterward.

Generate the first draft, then test and refine it against the real data contract.