JSON to Zod

Turn sample JSON into a readable Zod validation schema.

85 chars · 85 B
Zod schema
0 chars · 0 B
Your result appears here…
Ready — your data stays in this tab.
Practical guide

How to use JSON to Zod

Zod schemas validate unknown data at runtime and can also produce TypeScript types. XXF infers nested objects, arrays, primitive values and simple unions from one JSON example, then returns a schema and its inferred Root type.

Inference cannot decide business constraints such as valid email formats, numeric ranges or whether a missing property is optional. Treat the output as a reviewable foundation rather than a final security boundary.

A reliable workflow

  1. Paste a representative JSON value
  2. Generate the Zod schema and review every inferred branch
  3. Add optional, nullable, format and range rules required by the real contract

Worked example

Scenario

Generate a schema from the included account-preferences object

Included sample input
{"email":"[email protected]","age":28,"preferences":{"darkMode":true},"tags":["dev"]}
What to notice

The output creates nested z.object calls with string, integer, boolean and string-array validators. Email format, age limits and optional fields still need deliberate domain rules

When this tool helps

  • Create a parser for an external API response
  • Validate imported configuration
  • Prototype form or webhook payload schemas

Accuracy and safety notes

  • Empty arrays become arrays of unknown values because no item evidence exists
  • A null sample becomes z.null and needs manual expansion when other values are possible

Frequently asked questions

Does XXF upload or store my data?+

No. The conversion runs locally in your browser. Your input is not sent to XXF, stored on a server or used for training.

Is the generated schema a replacement for review?+

It is a strong starting point derived from one sample. Review optional fields and domain-specific constraints before production use.