ToolStack

JSON to Python Model

Generate Python dataclasses or Pydantic models from a JSON sample.

100% private — everything runs in your browser

How to Use

  1. 1

    Paste a JSON sample — a webhook payload works well.

  2. 2

    Pick dataclass or Pydantic and name the root class.

  3. 3

    Generate, then copy the models into your project.

Examples

Dataclass

Input

{"id":1,"user":{"name":"Ada"}}

Output

@dataclass
class Root:
    id: int
    user: User

Pydantic model

Input

[{"id":1},{"id":2,"name":"Alan"}]

Output

class Root(BaseModel):
    id: int
    name: str | None = None

FAQ

Which style should I pick?

Use dataclass for plain data containers and Pydantic when you want validation and parsing.

How are optional keys handled?

Keys missing in some array items get a None default so the model accepts the whole payload.

Do I need to install anything?

Pydantic output requires the pydantic package; dataclass output only needs the standard library.

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