# JSON to Python

> Infer Python dataclasses from a JSON sample. Nested objects become named classes with type hints. Keys missing from some objects in an array are optional. Conversion stays in the tab.

Runs in your browser. Nothing is uploaded.

[Convert](https://toolbuddy.dev/categories/convert.md)

## About this tool

Infer Python dataclasses from a JSON sample. Objects become named classes with type hints. Keys missing from some objects in an array are optional. A JSON null next to a concrete value becomes T | None. Whole numbers stay int. Other numbers become float.

How to use: paste JSON, copy the classes. A root array of objects is Root = list[RootItem]. Empty objects become dict[str, Any] and empty arrays become list[Any]. This is a starting point, not methods, validators, or a Pydantic model.

Example: {"id":1,"name":"Ada","address":{"city":"London"}} yields class Root and class Address. Related: JSON to TypeScript for interfaces, JSON to Go for structs, JSON to Code for JS, Python, or PHP literals.

The sample stays in the tab. Nothing is uploaded. After the page loads, conversion works offline.

## FAQ

### Does this run the Python code?

No. It writes dataclass declarations you can paste into a file. It does not run Python, and the JSON sample stays in the tab.

## Related Convert tools

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- [JSON ↔ XML](https://toolbuddy.dev/tools/json-xml.md): Convert JSON objects to XML and XML documents back to JSON. Useful for SOAP leftovers, RSS, and mixed API stacks. XML is parsed with the browser DOMParser so payloads stay on the device.
- [JSON ↔ CSV](https://toolbuddy.dev/tools/json-csv.md): Turn an array of JSON objects into CSV, or parse CSV headers into JSON objects. Quote-aware parsing runs in the tab so spreadsheets of IDs and emails are not uploaded to a conversion service.
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