A TypeScript-first schema validator. `z.object({...})` defines a runtime-validatable schema that also infers a TypeScript type. Widely used in Next.js/React apps and tRPC.

How is this different from json-to-typescript-types?

That tool generates a compile-time type. Zod gives you both the type (via `z.infer`) and a runtime validator that checks incoming JSON matches.

Does it detect optional fields?

Fields that appear inconsistently across records become `.optional()`. Always-present fields are required. Small sample sizes can mislead — review.

What about refinements (min, max, regex)?

Not auto-inferred — the sample doesn't tell us what constraints matter. Add `.min(1)`, `.max(100)`, `.regex(...)` manually after generation.

JSON → Zod Schema | DevTools Surf

DevTools Surf

Example: JSON → Zod Schema

A worked example, rendered from real sample data. Sign in to run the tool on your own input.

Input

{"id":1,"email":"ada@example.com","roles":["admin","editor"],"verified":true,"status":"active","profile":{"name":"Ada","age":36,"joinDate":"2024-01-15"}}

Output

import { z } from "zod";

export const MySchema = z.object({
  "id": z.number().int(),
  "email": z.string(),
  "roles": z.array(z.string()),
  "verified": z.boolean(),
  "status": z.string(),
  "profile": z.object({
  "name": z.string(),
  "age": z.number().int(),
  "joinDate": z.string(),
}).strict(),
}).strict();
export type MySchema = z.infer<typeof MySchema>;

// Parse and validate:
// const data = MySchema.parse(jsonInput);
// const result = MySchema.safeParse(jsonInput); // Returns { success, data, error }

About JSON → Zod Schema

JSON → Zod Schema preview - Converters tool

Derive a runtime-validatable Zod schema from a JSON sample. Part of the DevTools Surf developer suite. Browse more tools in the Converters collection.

Use Cases

Generating Zod schemas from API response samples for type-safe validation
Creating form validation schemas from existing JSON data structures
Building runtime type guards for incoming webhook payloads
Scaffolding tRPC input schemas from example request bodies

Tips

Paste a JSON sample to generate a complete Zod schema
Review inferred types — numbers vs strings may need adjustment
Use the output directly in your TypeScript validation layer

Fun Facts

Zod was created by Colin McDonnell in 2020 and quickly became the most popular TypeScript-first schema validation library, surpassing 20 million weekly npm downloads by 2024.
Unlike JSON Schema, Zod schemas are executable TypeScript code that provides both compile-time types and runtime validation from a single source of truth.
The name 'Zod' is a reference to General Zod from Superman — its logo features a stylized 'Z' inspired by the character.

FAQ

What's Zod?: A TypeScript-first schema validator. `z.object({...})` defines a runtime-validatable schema that also infers a TypeScript type. Widely used in Next.js/React apps and tRPC.
How is this different from json-to-typescript-types?: That tool generates a compile-time type. Zod gives you both the type (via `z.infer`) and a runtime validator that checks incoming JSON matches.
Does it detect optional fields?: Fields that appear inconsistently across records become `.optional()`. Always-present fields are required. Small sample sizes can mislead — review.
What about refinements (min, max, regex)?: Not auto-inferred — the sample doesn't tell us what constraints matter. Add `.min(1)`, `.max(100)`, `.regex(...)` manually after generation.

Related Converters Tools

JSON to XML JSON to CSV JSON to YAML JSON to TSV JSON to String XML to JSON XML to CSV XML to String