JSON to TypeScript, Go, Python & more

The generator reads your JSON and builds the strictest type that fits every value it saw: objects become interfaces, structs or classes; arrays become typed lists; a value that appears as both a number and a string becomes a union. Repeated string values (like "active" / "inactive") can be promoted to an enum, and ISO 8601 timestamps or UUIDs can map to your language's date and UUID types — both are toggles above.

Why add multiple samples?

One API response rarely shows every field — optional fields are missing, nullable fields happen to be set. Add two or three real responses with Add sample and they merge into a single type: a field present in every sample stays required, and a field that only some samples carry becomes optional. More samples always produce a more honest type.

Nullable is not optional

A field that appears as null in a sample is nullable — it is always present, but its value may be null (string | null). A field that is missing from some samples is optional — it may not exist at all (field?: string). Serializers treat the two very differently, which is why the generator keeps them distinct instead of collapsing both to "maybe".

JSON Schema in, types out

Already have a JSON Schema? Switch the input to JSON Schema and the types are derived from the schema's declared properties, required list and formats instead of being inferred from samples — or pick the JSON Schema output target to go the other way and generate a schema from samples.