JSON to Python Dataclass Converter

Convert JSON to Python dataclasses or TypedDict online. Generate typed Python code with proper type hints. Free, fast, and private.

Root:

dataclass TypedDict

JSON 入力

Python

About JSON to Python Conversion

Python's dataclasses and TypedDict provide structured ways to define typed data models. When consuming JSON APIs in Python, having properly typed classes improves code quality and IDE support. This tool analyzes your JSON and generates Python dataclasses with type hints or TypedDict definitions. It maps types correctly (str, int, float, bool, Optional, List), converts field names to snake_case, and creates separate classes for nested objects. The generated code includes proper imports from dataclasses and typing modules. All processing happens in your browser.

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How to Use

Paste your JSON data into the input panel
Set the root class name (default: Root)
Choose between dataclass and TypedDict output
Copy the generated Python code into your project

Common Use Cases

Creating Python dataclasses from API response data
Generating typed models for FastAPI or Flask applications
Building type-safe data parsers for JSON files
Converting API documentation examples to Python types

Frequently Asked Questions

What's the difference between dataclass and TypedDict?

Dataclasses create full Python classes with __init__, __repr__, etc. TypedDict defines dictionary shapes for type checking without creating a class. Use dataclass for objects, TypedDict for JSON-like dicts.

How are field names converted?

camelCase and PascalCase field names are automatically converted to snake_case following Python naming conventions.

Does it handle Optional types?

Yes. Fields with null values are typed as Optional[type], and the typing.Optional import is added automatically.

Can I use this with Pydantic?

The dataclass output is close to Pydantic models. You can easily adapt it by changing @dataclass to inherit from pydantic.BaseModel.