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Tool

🟣 Zod Schema to JSON Converter

Paste a Zod schema definition and generate matching JSON mock data with sensible defaults for every field type.

Zod Schema InputJSON Mock Output
Zod Schema Input
JSON Mock Output

Related Developer Utilities

Zod Schema to JSON Converter — Developer Guide

Zod Schema to JSON Converter – Complete Guide

What Is a Zod Schema to JSON Converter?

A Zod Schema to JSON Converter takes Zod validation schema definitions and generates corresponding JSON objects with appropriate default values for each field type. Zod is one of the most popular TypeScript-first validation libraries, used extensively in modern web applications for form validation, API input parsing, and runtime type checking. This tool reverses the typical Zod workflow — instead of validating data against schemas, it creates data that conforms to schemas.

Our converter parses Zod schema syntax client-side and maps each z.<type>() method to a sensible default value. Your schema definitions never leave your browser.

How the Conversion Works

The converter extracts the body of z.object({ ... }) definitions and parses each field's Zod type chain:

  • z.string()"example_string"
  • z.number()0
  • z.boolean()false
  • z.date()"2026-01-01T00:00:00.000Z"
  • z.array()[]
  • z.object(){}
  • z.enum() → First enum value
  • z.literal() → The literal value
  • .optional() → Field still included with default
  • .default(value) → Uses the specified default value

Step-by-Step Usage

  1. Paste your Zod schema into the left input panel.
  2. The converter automatically generates a matching JSON object.
  3. Use 📄 Sample to load an example schema.
  4. Click 📋 Copy to copy the JSON output.
  5. Modify defaults to create specific test scenarios.

Common Use Cases

Test Data Generation

When writing unit tests for functions that accept Zod-validated input, you need sample data that passes validation. This converter generates correctly typed JSON that you can use as a starting point.

API Documentation

If your API endpoints use Zod schemas for request validation, converting those schemas to JSON gives you accurate request body examples for documentation.

Database Seeding

Generate seed data for development databases by converting your Zod data models to JSON documents.

Form Development

When building forms that use Zod for validation (with libraries like React Hook Form + Zod resolver), generate default form values from your validation schema.

Storybook Mock Data

Create realistic props for Storybook stories by converting component prop schemas to JSON.

Supported Zod Methods

The converter handles these common Zod schema patterns:

  • Primitive types: z.string(), z.number(), z.boolean(), z.date(), z.bigint()
  • Container types: z.array(), z.object()
  • Special types: z.enum(), z.literal(), z.any(), z.unknown(), z.null()
  • Modifiers: .optional(), .nullable(), .default()

Understanding Zod vs TypeScript Types

Zod schemas and TypeScript types serve different purposes. TypeScript types are compile-time constructs that are erased during compilation — they cannot validate data at runtime. Zod schemas are runtime validators that can also infer TypeScript types via z.infer<typeof schema>.

This means Zod schemas contain more information than TypeScript types — they specify validation rules like .min(), .max(), .email(), .url(), and .regex(). While our converter uses the base types for default generation, understanding these constraints helps you create more realistic mock data.

Limitations

The converter performs text-based pattern matching on Zod schema definitions. It handles standard z.object({ ... }) patterns but does not support advanced features like z.union(), z.intersection(), z.discriminatedUnion(), or schema references across multiple variables.

Related Tools

Frequently Asked Questions

The converter supports z.string(), z.number(), z.boolean(), z.date(), z.array(), z.object(), z.enum(), z.literal(), and modifiers like .optional() and .default().
Yes. If a field has a .default() modifier, the converter uses that specified default value instead of generating a generic one.
Not currently. The converter handles z.object() definitions with standard type methods. Complex union patterns require manual handling.
The converter extracts the first value from the enum array and uses it as the default. For example, z.enum(['admin', 'user']) produces 'admin'.