Include import statement Generate inferred type Strict mode (.strict()) Make all props optional

Schema name:

Drop JSON file here

Features

🛡️ TypeScript-First Validation

Automatic type inference with z.infer
Compile-time and runtime validation
Compatible with Zod v3.x
Zero dependencies schema

⚡ Smart Type Detection

Detect strings, numbers, booleans
Handle nested objects and arrays
Support for null and optional values
Union types for mixed arrays

🎯 Framework Ready

Works with Next.js, Remix, tRPC
React Hook Form integration
API request/response validation
Environment variable validation

Complete Guide to Zod Schemas

What is Zod?

Zod is a TypeScript-first schema validation library with static type inference. It allows you to build schemas that validate data at runtime while providing full TypeScript types. With over 30 million weekly npm downloads, Zod is the most popular runtime validation library in the TypeScript ecosystem.

Why Use Zod?

Type Safety: Automatic TypeScript type inference from schemas
Runtime Validation: Validate data at runtime, not just compile time
Zero Dependencies: Lightweight and self-contained
Composable: Build complex schemas from simple ones
Ecosystem: Integrates with React Hook Form, tRPC, Prisma, and more

Using Generated Zod Schemas

import { z } from 'zod';

// Generated schema
const UserSchema = z.object({
  id: z.number(),
  name: z.string(),
  email: z.string().email(),
});

// Infer the type
type User = z.infer<typeof UserSchema>;

// Parse and validate data
const user = UserSchema.parse(data);

// Safe parsing (returns result object)
const result = UserSchema.safeParse(data);
if (result.success) {
  console.log(result.data);
} else {
  console.log(result.error);
}

Common Use Cases

API Validation: Validate request bodies and query parameters
Form Validation: Integrate with React Hook Form for type-safe forms
Environment Variables: Validate process.env with Zod schemas
tRPC: Define input/output schemas for type-safe APIs
Config Files: Validate JSON/YAML configuration files
Database Models: Validate data before database operations

FAQ

Q: Does this generate perfect schemas?

A: The generator infers types from sample data. You may need to adjust for more specific validations like .email(), .url(), .min(), .max(), etc.

Q: How do I handle optional fields?

A: Use the "Make all props optional" option, or manually add .optional() to specific fields in the generated schema.

Q: Can I add custom validators?

A: Yes! Use .refine() or .transform() methods to add custom validation logic after generating the base schema.

Using Zod schemas at your app boundaries

The most valuable place for a Zod schema is where untrusted data enters your application: API responses, form submissions, environment variables and messages from other services. Validating there means the rest of your code can trust its types.

Tips and common pitfalls

Derive the TypeScript type from the schema with z.infer<typeof Schema> so types and validation never drift apart.
Use safeParse when you want to handle errors yourself; it returns a result object instead of throwing.
Add refinements the sample cannot show, such as .email(), .min(1) or .int().positive().
Use .passthrough() or .strict() deliberately: by default Zod strips unknown keys from objects.

JSON to Zod Schema