IQ
PayloadIQ
PayloadIQ Utilities

JSON to Zod

Paste a JSON sample and get a Zod schema back — with z.infer types, smart uuid/email/url/datetime detection, and inferred optional and nullable keys. It all runs in your browser.

Zod schema appears here.

Runs in your browser. Your input is not uploaded to PayloadIQ.

JSON to Zod turns a JSON sample into a Zod schema you can paste straight into your codebase — and, because it also emits z.infer type aliases, you get a runtime validator and its static TypeScript type from one source of truth. Nested objects become their own named schemas, arrays of objects are merged, keys missing from some elements become .optional(), and nulls become .nullable(). Everything runs locally in your browser, so a real API response never leaves your machine.

Smart format detection

Strings that look like a UUID, an ISO 8601 date-time, an email or a URL are upgraded to z.string().uuid(), .datetime(), .email() or .url() — so the schema validates shape andformat, not just “is a string.” Whole numbers become z.number().int(). You can rename the top-level schema with the Root-name field.

One schema, validator and type together

Reach for Zod when you want to parse and trust data crossing a boundary — an API response, a form body, a webhook. Validate once at the edge with Schema.parse(...) and the rest of your code works with a fully typed value. Need types in another language, or a full typed client and schema report from the same payload? Open it in the PayloadIQ playground, or read the JSON to TypeScript guide.

FAQ

Is my JSON uploaded?
No. The JSON is parsed and converted entirely in your browser with JavaScript — it never leaves your device. That makes it safe for real API responses, auth payloads, and anything internal.
Does it generate the TypeScript types too?
Yes. For every schema it also emits an export type … = z.infer<typeof …Schema>, so you get a runtime validator and the matching static type from a single source of truth — change the schema and the type follows.
What string formats are detected?
Values that look like a UUID, an ISO 8601 date-time, an email, or a URL become z.string().uuid(), .datetime(), .email() or .url() respectively (email/url are also inferred from the key name). Everything else stays z.string(). Whole numbers use z.number().int().
How are objects, arrays and missing keys handled?
Nested objects become their own named schemas. An array of objects is merged into one representative schema: a key present in only some elements gets .optional(), and a key that is null in some elements gets .nullable(). Inference is sample-driven, so paste the richest payload you have.

Related utilities

JSON to TypeScriptJSON to PythonJSON Formatter / ValidatorGuide: JSON to ZodJSON VisualizerJSON MinifierJSON DiffJSON to CSV
Open PayloadIQ Playground