Generate TypeScript interfaces or type aliases from JSON data online. The converter infers objects, arrays, primitive types, nullable values, and nested structures, then produces editable TypeScript declarations that you can copy or download for API responses, configuration data, and frontend projects.
Infer TypeScript declarations from representative JSON data, including strings, numbers, booleans, null, arrays, objects, and nested structures.
Nested objects can become separately named interfaces or type aliases, while arrays are represented with typed item declarations such as string[] or User[].
Choose interfaces or type aliases when the option is available. Interfaces are useful for object contracts, while type aliases are better suited to unions, intersections, and other composed types.
Configure how the generator represents optional properties and null values. These choices are inferred from the sample and should be reviewed against the actual API or data contract.
Optionally detect common string patterns such as email, URL, UUID, date, or date-time when supported. These hints may be emitted as comments or selected type output depending on the implementation.
Copy the generated declarations to your clipboard and place them in a .ts file, API model file, frontend type module, or project documentation.
Download the generated TypeScript source as a .ts file. Review names, optionality, nullability, unions, and array item types before importing it into your project.
JSON parsing and TypeScript generation happen in your browser. The page does not require an account or upload the input data to a remote service.
Paste a JSON object or array of objects, or open a local JSON file if file input is available. Use representative data that includes important optional fields and variations.
Select interfaces or type aliases, set the root type name, and decide whether generated declarations should include export.
Choose how null values and optional properties should be represented. A field being nullable is not automatically the same as a field being optional.
Click Generate TypeScript and inspect nested names, array item types, unions, optional markers, null types, and property names that required quoting or sanitization.
Copy the TypeScript code or download a .ts file. Refine the generated declarations and add runtime validation when the input comes from an external API.
{
"id": 1,
"name": "Alice",
"email": "alice@example.com",
"isActive": true
}export interface RootObject {
id: number;
name: string;
email: string;
isActive: boolean;
}JSON to TypeScript conversion generates static type declarations from representative JSON data. The result may use interfaces, type aliases, arrays, unions, optional properties, and nullable types to describe the shape observed in the input.
Generated declarations reduce repetitive typing work, especially for API responses and nested payloads. They are a starting point rather than a complete guarantee that all future runtime data will match the sample.
string.number; TypeScript does not distinguish integer and floating-point numbers in the usual type syntax.boolean.string | null when a field has both string and null values.User[] or Array<User>.Nested objects are usually emitted as separate named declarations:
interface User {
profile: Profile;
}
interface Profile {
displayName: string;
}Arrays require additional inference. If every object has the same shape, a single item interface may be sufficient. If objects differ, the generator may need optional fields or a union type such as Admin | Member. Review the output when arrays contain multiple shapes.
Optional and nullable mean different things:
email?: string means the property may be absent.email: string | null means the property is present but may contain null.email?: string | null means the property may be missing or explicitly null.One JSON example cannot prove whether a missing field is optional. Use multiple samples or confirm the API contract before choosing the final declaration.
Interfaces are often convenient for object-shaped models and can participate in declaration merging. Type aliases can represent primitives, unions, intersections, tuples, and mapped types. A generator that defaults to interfaces is useful for common object payloads, but type aliases may be a better output for mixed arrays or union-heavy data.
A TypeScript declaration helps the compiler and editor understand code, but it is not automatically a runtime validator. Data loaded from an API still needs validation if it can be malformed, incomplete, or controlled by another system. Use JSON Schema, Zod, Valibot, io-ts, typia, or another runtime validation approach when the application requires runtime guarantees.
An email address, URL, UUID, date, or IP address is normally still a string in TypeScript. A generator can add comments, branded types, or validation metadata when supported, but pattern detection alone does not validate future values.
JSON keys may contain characters that are inconvenient or invalid for ordinary TypeScript identifier syntax:
{"first-name":"Alice","user id":42}These properties may need quoted keys, such as "first-name": string, or a configured naming transformation. Renaming keys in the generated type does not rename the keys in the runtime JSON object, so use a separate transformation when the data shape must change.
One sample often misses optional fields or alternate response shapes. If your API returns different variants, collect representative examples and merge them before generating types, or use a tool that accepts multiple files or samples. Then review which properties are always present, which are optional, and which require a union.
Generated types can drift from the API when the backend changes. Regenerate them from updated fixtures or schema definitions, and add runtime validation or contract tests where correctness matters. Treat generated code as part of the development workflow rather than a permanent substitute for an API contract.
This converter is designed to parse the JSON and generate TypeScript in the browser instead of sending input to a remote conversion service. That can be convenient for development samples and private configuration snippets, but it is not a secure secret-management system. Avoid entering credentials, tokens, private customer records, or production secrets into any online tool.