Code Utilities utility
JSON to Python Dataclass
Generate Python dataclass definitions from a JSON object sample.
● This tool runs entirely in your browser. Your input is never uploaded to our servers.
Output
Your result will appear here…
How to use JSON to Python Dataclass
- Paste a representative JSON object.
- Select Generate Code to create dataclass definitions.
- Review inferred types and field names before using them in your project.
Example
Input:
{"id":1,"name":"Ada","active":true}Output:
from dataclasses import dataclass
@dataclass
class Root:
id: int
name: str
active: boolUse cases
- Create a starting model for fixture data.
- Document fields in Python applications.
- Convert a small API example into typed classes.
About this tool
Generate Python dataclass definitions from a JSON object sample. Processing happens locally in your browser, so your input is not sent to a server or included in analytics.
Frequently asked questions
Are nested objects supported?
Yes. Nested objects and simple arrays produce additional dataclass definitions and type hints.
Are types guaranteed for all values?
No. Types are inferred from the sample only; review unions, null values, and optional fields.
Does the sample get uploaded?
No. Code generation happens locally.