JSON to Python TypedDict

Type dictionaries without runtime models

TypedDict gives static type checkers the keys and value types inside ordinary Python dictionaries without adding runtime validation. This generator parses a JSON object and emits a TypedDict for its root, plus additional declarations for nested objects and arrays of records. Wire keys become snake-case annotations, and scalar values map to int, float, bool, str, or Any as appropriate.

Using the default sample creates class User inheriting from TypedDict, with user_id as int, name as str, and active as bool. A nested profile object becomes a Profile TypedDict, while an array of item objects becomes list of Item. The output is suited to typed request fixtures, parsed API responses, and codebases that want editor assistance without Pydantic dependencies.

What the sample can and cannot prove

TypedDict describes expected dictionary shape but does not validate data when the program runs. Null values and empty arrays remain broad because their intended type is unknowable from one value. Generation occurs in your browser and does not upload the pasted payload. Confirm optional keys and heterogeneous arrays manually, especially when the sample omits fields returned by other endpoints or permission levels.