JSON to Python Dataclass Converter

Input

Output

Ready

Ln 1, Col 1

Convert JSON to Python in one step

Paste JSON and get Python dataclasses with type hints and a from_dict() class method that builds nested objects, so your editor and type checker understand the data.

How to use it

Paste a JSON sample into the Input panel, open a file, or drop it onto the page. A sample is already loaded so you can see the result.
The Python code appears instantly in the Output panel and updates as you type.
Rename the top-level type under Settings → Root type name, and use Sort keys to order fields alphabetically.
Copy the code or Download it as Root.py.

What the Python generator produces

@dataclass classes with snake_case fields and full type hints.
Optional fields typed T | None = None and ordered after required ones.
from_dict() maps the original keys and builds nested classes and lists.
Uses from __future__ import annotations, so it runs on Python 3.8+.

Using the generated Python code

Load JSON and build the objects:

import json

with open("data.json") as f:
    data = Root.from_dict(json.load(f))

print(data.users[0].name)

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JSON to Python FAQ

Can I generate Pydantic models instead?

Change @dataclass to inherit from pydantic.BaseModel and remove from_dict; Pydantic validates automatically. Use Field(alias="key") for renamed keys.

Is my data uploaded to a server?

No. The JSON to Python runs entirely in your browser using JavaScript. Your data is never uploaded, logged or stored, and the tool keeps working offline after your first visit.