What Python versions are the generated dataclasses compatible with?

The dataclass output uses standard `@dataclass` syntax compatible with Python 3.7+. TypedDict output is compatible with Python 3.8+. Pydantic v2 output requires Pydantic 2.0+ (Python 3.8+).

Does this tool handle nested JSON objects?

Yes. Nested JSON objects are converted to separate named classes, and the parent class references them by name. Arrays of objects generate a typed `List[ChildClass]` annotation.

What happens with null values in JSON?

JSON `null` values are inferred as `Optional[str]` (or the appropriate Optional type) and the field defaults to `None`, matching idiomatic Python type annotation.

Is my JSON data sent to a server?

No. All conversion logic runs entirely in your browser using TypeScript. Your JSON data never leaves your machine.

What is the difference between dataclass, TypedDict, and Pydantic?

Dataclasses are built-in Python classes with type hints — great for plain data containers. TypedDict defines the shape of dictionaries for static type checkers. Pydantic v2 models add runtime validation, serialisation, and settings management on top of type hints.

Can I use this for large or complex JSON?

Yes. The converter handles deeply nested objects, arrays of primitives, arrays of objects, and mixed-type fields. For very large JSON files, paste just the structure (a representative sample) to get clean, reusable class definitions.

Python Type Generation

Convert JSON to
Python Types Instantly

Paste any JSON and get clean Python dataclasses, TypedDict definitions, or Pydantic v2 models in seconds. 100% client-side — nothing leaves your browser.

🐍

Three Output Modes

Generate Python dataclasses, TypedDict, or Pydantic v2 models from the same JSON input.

🔗

Nested Objects

Automatically generates nested class definitions for nested JSON objects and arrays.

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100% Private

All conversion happens in your browser. Your JSON data never leaves your machine.

JSON → Python Converter

JSON Input

Python Output

from dataclasses import dataclass


@dataclass
class Address:
    street: str
    city: str
    zip: str


@dataclass
class Model:
    id: int
    name: str
    email: str
    is_active: bool
    score: float
    tags: List[str]
    address: Address
    metadata: Optional[Any] = None

Python 3.7+ dataclassesPython 3.8+ TypedDictPydantic v2 BaseModelOptional / List type inference100% client-side

Frequently Asked Questions

Everything you need to know about JSON to Python.