JSON Schema to Zod / Pydantic / TypeScript
🔒 In your browserConvert a JSON Schema to Zod, a Pydantic model or a TypeScript interface for typed LLM tools & APIs.
How it works
Paste a JSON Schema and get typed validation code — Zod, a TypeScript interface, or a Pydantic model — for building typed LLM tools, function-calling schemas and API models. Types, enums, formats (email/uri/uuid), min/max and nested objects are carried over. Runs entirely in your browser.
import { z } from "zod";
export const Model = z.object({
id: z.number().int().min(1),
email: z.string().email(), // Primary contact email
name: z.string().min(1).max(120).optional(),
role: z.enum(["admin", "editor", "viewer"]).optional(),
tags: z.array(z.string()).optional(),
active: z.boolean().optional(),
});
export type Model = z.infer<typeof Model>;
About the JSON Schema to Zod / Pydantic / TypeScript
Building typed LLM tools, function-calling schemas or API models means turning a JSON Schema into real code. This free converter takes a JSON Schema and generates a Zod schema, a Pydantic model or a TypeScript interface — carrying over types, required vs optional fields, enums, string formats (email/uri/uuid), min/max constraints and nested objects.
Conversion happens entirely in your browser; nothing you paste is uploaded.
How to use it
- Paste your JSON Schema (draft-07 style) on the left.
- Pick a target: Zod, TypeScript or Pydantic.
- Set the model/type name, then copy the generated code.
What carries over
- Types: string, number/integer, boolean, array, and nested objects.
- Enums → z.enum / TS unions / Pydantic Literal; required vs optional fields.
- String formats (email, uri, uuid, date-time) and min/max length; numeric minimum/maximum.
- Field descriptions become code comments; unsupported constructs are flagged as warnings.
Frequently asked questions
Which JSON Schema version is supported?
It targets common draft-07 style schemas — objects with properties, required, enum, format and min/max keywords. $ref and full allOf/oneOf/anyOf are only partially handled and are flagged.
Why generate Zod or Pydantic?
They give you runtime validation for the structured output and tool arguments your LLM produces, so malformed data is caught before it reaches the rest of your app.
Does it resolve $ref references?
Not yet — inline your referenced schemas for complete output. The tool warns you when it sees a $ref.
Is the generated code production-ready?
It's an accurate starting point that follows each target's conventions. Review it and add any custom refinements your domain needs.
Is anything uploaded?
No. The schema and generated code stay in your browser.
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<iframe src="https://toolhq.dev/embed/json-schema-to-code/" title="JSON Schema to Zod / Pydantic / TypeScript — ToolsHub" width="100%" height="520" style="border:1px solid #e5e7eb;border-radius:12px;max-width:680px" loading="lazy"></iframe>Optional: auto-resize the iframe height
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<script>
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document.querySelectorAll('iframe[src*="/embed/"]').forEach(function (f) {
if (f.contentWindow === e.source) f.style.height = e.data.height + "px";
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</script>