JSON to Python

Convert JSON to Python class/dict.

This tool is designed to provide a seamless experience for developers by handling complex operations directly in your browser with maximum speed and security.

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In Python, dictionaries are used to store data values in key:value pairs. A dictionary is a collection which is ordered, changeable and do not allow duplicates.

Read the Full Guide

This tool transforms JSON into clean, idiomatic Python code. It generates classes with type hints, making it easy to work with JSON data in a type-safe way in Python. Whether you are using Python for data analysis, web development with frameworks like Django or Flask, or writing automation scripts, this tool provides a highly efficient way to map your JSON responses to robust data structures. It handles everything from simple flat objects to deeply nested hierarchies and various data types, ensuring your Python code is both readable and maintainable.

Paste your JSON to generate a Python class using `dataclasses` or a standard dictionary. It handles nested structures by creating multiple classes.

Manually creating Python classes or Pydantic models for large and complex JSON responses is a tedious and error-prone task. This tool automates the process, saving you significant development time and providing a solid, type-safe foundation for your data processing or API integration projects in Python.

Example Input

{
  "id": 1,
  "name": "John Doe",
  "email": "john@example.com",
  "isActive": true,
  "tags": ["admin", "dev"],
  "profile": {
    "bio": "Software Engineer",
    "skills": ["Go", "React", "TypeScript"]
  }
}

Example Output

@dataclass
class User:
    id: int
    name: str
    email: str
    is_active: bool
    tags: List[str]
    profile: Dict[str, Any]

Naming Conventions

Fix: Python uses snake_case. The tool automatically converts camelCase JSON keys to snake_case for Python classes.

Does it use Pydantic?

Currently, it uses standard dataclasses. You can easily adapt the output for Pydantic if needed.

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