JSON to Typescript Zod Class

Tool Introduction

This tool aims to help developers quickly convert any JSON data structure into the corresponding TypeScript Zod Schema code. Zod is a popular TypeScript-first, declarative validation library that allows you to define the shape and type of data with concise syntax, validate it at runtime, and provide powerful TypeScript type inference capabilities. With this tool, you can easily generate Zod schemas for validation from API returned data, configuration files, or any structured JSON data, greatly improving development efficiency and code type safety.

Advantages of Zod Schema

• Type Safety: Enforces type checking at runtime, avoiding errors caused by data format mismatches.
• Excellent TypeScript Integration: Zod Schema can automatically infer TypeScript types, reducing the effort of manually writing type definitions.
• Concise API: Provides an intuitive and easy-to-understand API, making Schema definitions clear and explicit.
• Composability: Supports the combination and reuse of Schemas, facilitating the construction of complex data structures.
• Error Handling: Provides detailed and user-friendly validation error messages, making debugging and user prompts easier.

How to Use

1. Paste the JSON data string you need to convert into the input box.
2. (Optional) Configure generation options according to your needs, such as whether to name the top-level Schema, or whether to include z.infer type definitions.
3. Click the "Convert" button, and the tool will instantly analyze the JSON structure and generate the corresponding Zod Schema code.
4. Copy the generated TypeScript Zod code and integrate it into your project.

Input parameter format and requirements: Please ensure that the input is a well-formatted, valid JSON string. The tool will automatically parse and attempt to infer the most suitable Zod types (e.g., string, number, boolean, object, array, etc.).

Output result format: The output result is standard TypeScript code, including the import { z } from 'zod'; statement and one or more Zod Schema definitions.

Usage Example

Below is a practical example of converting JSON data to Zod Schema:

• Example input data:

  {
    "userId": 123,
    "userName": "John Doe",
    "email": "john.doe@example.com",
    "isActive": true,
    "roles": ["admin", "editor"],
    "profile": {
      "age": 30,
      "city": "New York"
    },
    "lastLogin": null
  }

• Expected output result:

  import { z } from 'zod';
  
  const UserProfileSchema = z.object({
    age: z.number(),
    city: z.string(),
  });
  
  const UserSchema = z.object({
    userId: z.number(),
    userName: z.string(),
    email: z.string().email(), // Email type will be automatically inferred based on format or may require manual refinement
    isActive: z.boolean(),
    roles: z.array(z.string()),
    profile: UserProfileSchema,
    lastLogin: z.null().or(z.string().datetime()), // null or date string, may require manual adjustment
  });
  
  // Optional: Generate TypeScript type
  // type User = z.infer;
  

• Specific operation demonstration: Just paste the above JSON data into the tool's input area, then click the "Convert" button, and you will see the corresponding Zod Schema code in the output area.

Frequently Asked Questions

• Q: Which JSON data types to Zod type conversions does this tool support? A: This tool supports all standard JSON data types, including strings (z.string()), numbers (z.number()), booleans (z.boolean()), objects (z.object()), arrays (z.array()), and null (z.null()). For specific string formats (such as email, URL, datetime), the tool will try to infer or suggest manual optimization to z.string().email(), z.string().url(), z.string().datetime(), etc.
• Q: What scenarios can the generated Zod Schema be used for? A: The generated Zod Schema is widely used for front-end form data validation, API request parameters and response data validation, configuration file format validation, database model definition, and any TypeScript project that requires data structure validation.
• Q: How does Zod handle optional fields in JSON? A: By default, the tool assumes that all fields appearing in JSON are required. If your fields are optional, you need to manually add the .optional() modifier to the corresponding Zod Schema field after generation, for example: fieldName: z.string().optional().
• Q: How to handle enum types in JSON? A: The tool currently does not automatically recognize string or number enum types. For enums, you need to manually modify them after generation to forms like z.enum(['value1', 'value2']) or z.union([z.literal(1), z.literal(2)]).

Notes

• Input data format requirements: Please ensure that the JSON string you enter is valid and correctly formatted. Any JSON syntax errors may lead to conversion failure.
• Manual optimization of complex types: Although the tool will try its best to infer types, for complex types (such as date strings, emails, URLs, etc.), you may need to manually add more precise Zod validators (such as .datetime(), .email(), .url(), etc.) to the generated code to ensure the highest accuracy.
• Privacy and Security: When using any online tool, please avoid entering JSON data containing sensitive or personally identifiable information to protect your privacy and security.
• Field Optionality: The tool defaults all JSON fields as required. If some of your fields are optional, please manually add the .optional() modifier in the generated Zod Schema.