Generate Python From JSON
JSON → pydantic / dataclass
from typing import Any, List, Optional, Union, TypedDict
class User(TypedDict, total=False):
id: float
name: str
active: bool
tags: List[str]
class Post(TypedDict, total=False):
id: float
title: str
pinned: Optional[bool]
class Root(TypedDict, total=False):
user: User
posts: List[Post]TypedDict shapes (Python 3.8+). JSON numbers map to float; coerce to int manually if needed.What is JSON to Python Converter?
Infer Python TypedDict classes from a sample JSON object, with proper handling of optional keys, nested dictionaries, and list element types. Useful for integrating an external API into a Python codebase with proper type hints, or generating starter stubs for a new service.
How do I use JSON to Python Converter?
- Paste sample JSON.
- Set the root class name.
- Copy or download the generated Python.
When should I use JSON to Python Converter?
JSON to Python emits TypedDict. For dataclass / attrs / pydantic output, pydantic-specifically has its own generator; we emit the lightest option. For TypeScript types instead, use JSON to TS.
Frequently asked questions
Does it generate dataclasses or plain dicts?
Dataclasses by default (with type hints for mypy / pyright). Switch to TypedDict for dict-based APIs, or Pydantic for validation-first workflows.
Does it handle optional fields correctly?
Yes; fields that are missing or null in any object become Optional[...] with a default of None.
What Python version does the output target?
Python 3.10+ style by default (union X | Y, from __future__ import annotations). Toggle 3.8 compatibility to get Optional[X] and Union[X, Y] instead.
Is my file uploaded anywhere?
No. Everything runs in your browser. Your files never leave your device, and there is no server component for this tool.
Tools that pair well with JSON to Python Converter
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