The JSON to TypeScript tool automatically infers field types from JSON sample data and generates strongly-typed TypeScript interface / type declarations. Ideal for quickly converting backend API JSON response bodies into frontend type definitions, generating type constraints for configuration file JSON Schemas, converting database export samples into model types, and accelerating the transition from sample data to type-safe code. Generated results can be copied directly into .d.ts or .ts files.
A JSON object or array sample. Use real API response data with complete fields so the tool can accurately infer optional fields and union types. Supports nested objects, arrays of objects, arrays of primitive types, and mixed-type arrays. The more complete the sample data, the more accurate the generated type declarations.
Formatted TypeScript interface declarations, automatically split into multiple independent interfaces by nesting level, linked through type references. The tool infers primitive types such as string, number, boolean, null, and any, auto-generates element types for arrays, and creates child interfaces for nested objects, using Root as the top-level entry point.
The tool first validates that the JSON is valid, then infers TypeScript types from field values. Objects generate nested interfaces, arrays infer element types, and mixed values preserve union relationships where possible. The more complete the sample, the closer the generated result is to the real API structure.
Input example
{
"id": 1,
"name": "ToolOrbit",
"features": ["JSON", "Base64", "UUID"],
"author": {
"name": "Developer",
"active": true
},
"tags": [1, 2, 3]
}Output example
interface Root {
id: number;
name: string;
features: string[];
author: Author;
tags: number[];
}
interface Author {
name: string;
active: boolean;
}Yes, the converter recursively processes nested structures and generates separate interfaces for complex sub-objects.
It analyzes array elements to determine if they are primitives or complex objects and defines the type accordingly.
It provides a very strong foundation, but we recommend a quick review to ensure specific optional fields are marked with '?'.