JSON ⇄ Zod & Valibot Converter
2-way converter between JSON data and Zod v3 / Valibot schemas. Convert JSON payloads to schemas, or reverse Zod schemas into Mock JSON and JSON Schema. 100% in-browser.
2-Way Zod & JSON Conversion
Runtime schema validation bridges the gap between dynamic untrusted inputs (APIs, webhooks, databases) and strict static TypeScript types.
⚡ JSON → Zod / Valibot
Paste JSON payloads to generate z.object({...}) or v.object({...}) with z.infer<typeof Schema>.
🧪 Zod → Mock JSON
Generate realistic mock test payloads conforming to any Zod or Valibot schema with valid UUIDs, emails, numbers, and nested objects.
📄 Zod → JSON Schema
Export standard Draft-07 JSON Schema definitions for OpenAPI documentation, Swagger specs, and cross-language validators.
Static Typing vs Runtime Validation
In TypeScript, interface definitions like interface User { email: string } are completely erased when compiled to JavaScript. If an API endpoint receives invalid data, a standard interface cannot throw an error or guard against runtime crashes.
Schema libraries like Zod and Valibot validate data at runtime, parsing raw objects and safely narrowing types:
| Feature Metric | Zod (v3) | Valibot | Yup / Joi |
|---|---|---|---|
| Design Architecture | Chained Fluent Class Methods | Functional Modular Pipeline | Chained Methods |
| Bundle Size (Min + Gzip) | ~12.8 KB (Monolithic) | ~0.9 – 2.1 KB (Tree-shakeable) | ~15–40 KB |
| TypeScript Inference | z.infer<typeof S> | v.InferOutput<typeof S> | InferType<typeof S> |
| Best Suited For | Backend Node.js / Next.js / tRPC | Frontend / Edge Workers / Micro-frontends | Legacy React Forms |
Code Recipes
Zod Validation in Node.js / Express
import { z } from 'zod';
const UserSchema = z.object({
id: z.string().uuid(),
email: z.string().email(),
role: z.enum(['admin', 'member'])
});
// Safe parsing without try/catch
const result = UserSchema.safeParse(req.body);
if (!result.success) {
return res.status(400).json(result.error.flatten());
}
const user = result.data; // Fully typed as { id, email, role } Valibot Tree-Shakeable Validation
import * as v from 'valibot';
const UserSchema = v.object({
id: v.pipe(v.string(), v.uuid()),
email: v.pipe(v.string(), v.email())
});
const user = v.parse(UserSchema, input); Frequently Asked Questions
Why use Zod or Valibot instead of plain TypeScript interfaces?
What is the architectural difference between Zod and Valibot?
How does Zod to Mock JSON reverse generation work?
Can I export the output for OpenAPI or Swagger documentation?
Does this converter detect date formats and email fields automatically?
About This Tool
This is a 2-way converter: paste JSON to generate a Zod or Valibot schema with inferred formats and an exported TypeScript type, or flip direction to turn an existing Zod/Valibot schema into mock JSON test fixtures or a Draft-07 JSON Schema document. The swap button (⇄) flips direction without retyping.
It generates schema code; it does not run validation for you. If you only need plain TypeScript
interface declarations with no runtime checks, use JSON to TypeScript instead.
Key Features
- Three conversion directions: JSON → Zod/Valibot, Zod/Valibot → Mock JSON, and Zod/Valibot → JSON Schema.
- Zod or Valibot target: switch libraries without changing the input JSON.
- Smart format detection: recognizes email, UUID, URL, and ISO datetime strings and adds the matching validator.
- Optional/strict toggles: mark fields optional with
?or lock objects down with.strict(). - Export declarations: adds
z.infer<typeof Schema>(or Valibot's equivalent) alongside the schema.