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JSON to Python Model
Generate Python dataclass or Pydantic model definitions from JSON data
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Generated Python Code
@dataclass
class Model:
id: int
name: str
email: strClasses
0
Fields
0
Model Type
-
Nesting
0
What Are Python Data Models?
Python dataclasses and Pydantic models are powerful ways to define structured data with type annotations. dataclasses are built into Python 3.7+ and provide automatic `__init__`, `__repr__`, and comparison methods. Pydantic models add validation, serialization, and schema generation on top of type hints.
This generator creates Python model definitions from JSON data, automatically inferring types, nested classes, and optional fields.
How to Use
- Paste JSON — Enter valid JSON data in the input area.
- Select model type — Choose dataclass or Pydantic BaseModel.
- Set class name — Enter a name for the root model class.
- Copy or download — Click Copy or Download to save as a
.pyfile.
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