JSON to Python
Paste a JSON sample and get typed Python back — dataclasses, Pydantic models, TypedDicts, or a dict literal. Nested objects and arrays are inferred, and it all runs in your browser.
Python classes appear here.
Runs in your browser. Your input is not uploaded to PayloadIQ.
JSON to Python converts a JSON sample into Python source you can paste straight into a model file — choose dataclasses, Pydantic v2 models, TypedDicts, or a plain dict literal. The structure is inferred from your example: nested objects become nested classes, arrays become List[...], and nulls become Optional[...]. Everything happens locally in your browser, so a real API response never leaves your machine.
dataclasses, Pydantic, or TypedDict — your call
Reach for dataclasses when you want zero dependencies and plain typed containers, Pydantic when you want runtime validation and parsing of the incoming payload, and TypedDict when you keep the data as dicts but still want editor and type-checker support. The dict-literal mode is handy for fixtures, test data, and quick scripts.
From a payload to a typed model
Inference is sample-driven, so paste the richest payload you have — for lists of objects it merges the keys across elements and marks any that are missing as optional. Want types in another language, or a full typed client and schema report from the same payload? Open it in the PayloadIQ playground or read the JSON to TypeScript guide.