What Python styles does it generate?

@dataclass (Python 3.7+), TypedDict (Python 3.8+), or a plain class with an __init__ method.

Does it handle nested objects?

Yes. Nested objects are extracted into separate named classes. Each class is fully independent and type-annotated.

What imports are included?

The output includes the necessary imports from dataclasses and typing automatically.

JSON to Python

Paste a JSON object and generate Python @dataclass, TypedDict, or plain class definitions automatically. Handles nested objects, arrays, and all Python types.

Runs entirely in your browser — your input is never uploaded, stored, or logged.

Generated Python classes make it easy to work with JSON data in a type-safe way. For TypeScript, see JSON to TypeScript.

How to Use

1Paste your JSON into the input box.
2Set the root class name and choose a style (@dataclass, TypedDict, or plain class).
3Click Generate Python.
4Copy the generated classes or download as a .py file.

Common Uses

→Generate Python dataclasses from an API response to speed up development
→Convert JSON configuration schemas to typed Python classes
→Scaffold data models when parsing JSON in a Python application
→Create TypedDict definitions for type-checked JSON access

Examples

dataclass

Input

{"name":"Alice","age":29,"active":true}

Output

@dataclass
class Root:
    name: str
    age: int
    active: bool

Frequently Asked Questions

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