JSON to Python Dataclass Generator
Generate typed Python dataclasses from JSON with Optional fields and a from_dict() helper.
Types are inferred from the sample. Fields missing in some array items become optional; null values become nullable.
Typed data models in Python
Using API responses as dictionaries in Python is quick but error-prone; a typo in a key only shows up at runtime. The JSON to Python Dataclass generator creates dataclasses with type hints from sample JSON.
Generated code
- JSON keys converted to Pythonic snake_case fields
- Nested objects become their own dataclasses
- Optional fields default to None
- A from_dict() helper to build objects from dictionaries
Version compatibility
Modern syntax (list[str], X | None) works with Python 3.10 and later; choose List and Optional syntax for older projects. The code works with mypy and IDE autocompletion.
How to use JSON to Python Dataclass Generator
- Paste sample JSON data.
- Choose the type syntax for your Python version.
- Review the generated dataclasses.
- Add the code to your project.
Why use this tool?
Use JSON data safely and readably in data science, automation and backend projects.
FAQ
Which Python version is required?
Modern syntax (list[str], X | None) needs Python 3.10+. Turn it off for List/Optional syntax that works on 3.7+.
Does it generate Pydantic models?
No, it generates standard library dataclasses with no extra dependencies.
Is there a to_dict() method?
Use dataclasses.asdict() to turn an object back into a dictionary.
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