JSON to Code Converter
Convert JSON objects into typed code for various programming languages
JSON Input
Paste your JSON object here to convert it to typed code
Generated Code
TypeScript Interface generated from your JSON
typescript
Usage Examples
Common JSON patterns and their generated code equivalents
Simple Object
{
"name": "John",
"age": 30,
"active": true
}With Arrays
{
"tags": ["react", "ts"],
"scores": [95, 87, 92]
}Nested Objects
{
"user": {
"profile": {
"name": "Jane"
}
}
}About JSON to Code Converter
Paste a JSON object and instantly generate typed code: TypeScript interfaces, Zod validation schemas, or Python dataclasses. Save hours of manual type definitions.
Working with APIs means dealing with JSON responses. Instead of manually writing types, paste the JSON and get perfectly structured type definitions. Handles nested objects, arrays, and optional fields automatically.
How to use JSON to Code Converter
1
Paste your JSON object or array.
2
Select output format (TypeScript, Zod, Python).
3
Optionally name your root type/interface.
4
Click Generate to create the code.
5
Copy and paste into your project.
Examples
JSON to TypeScript interface
API response becomes typed code:
JSON:
{"id": 1, "name": "Alice", "active": true}
TypeScript:
interface User {
id: number;
name: string;
active: boolean;
}JSON to Zod schema
Runtime validation with Zod:
Zod Schema:
const UserSchema = z.object({
id: z.number(),
name: z.string(),
active: z.boolean(),
});
type User = z.infer<typeof UserSchema>;Nested objects
Complex structures are handled automatically:
JSON with nested:
{"user": {"profile": {"name": "Alice"}}}
Result:
interface Root {
user: User;
}
interface User {
profile: Profile;
}
interface Profile {
name: string;
}Features
TypeScript interfaces with proper types
Zod schemas for runtime validation
Python dataclasses with type hints
Handles nested objects and arrays
Detects optional vs required fields
One-click copy generated code
When to use this
- •Typing API responses for frontend apps
- •Creating Zod schemas for form validation
- •Starting Python data models from JSON
- •Documenting JSON structures with types
- •Migrating untyped codebases to TypeScript
- •Generating types for test fixtures
Common questions
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