JSON to Python Dataclass
Convert JSON to Python dataclasses or Pydantic models
What is JSON to Python Dataclass?
This JSON to Python converter generates type-annotated data classes from sample data in either standard library dataclass style or Pydantic BaseModel style, converting field names to snake_case along the way. The inference runs entirely in your browser.
How to use JSON to Python Dataclass
- 1Paste a sample JSON response.
- 2Choose the dataclass or the Pydantic style.
- 3Copy the generated code and add default values and validation rules as needed.
Frequently asked questions
Should I use dataclass or Pydantic?+
dataclass ships with the standard library, adds no dependency, and costs nothing at runtime, which makes it a good fit for internal data structures. Pydantic validates and coerces types when an instance is created, which suits untrusted input such as request bodies and configuration files. Prefer Pydantic at your system boundaries.
Field names were converted to snake_case, so will deserialization still match?+
Not on its own. Python convention is snake_case while JSON payloads usually use camelCase. With Pydantic you can bridge the gap using alias or alias_generator; with dataclass you have to translate the keys yourself in the parsing layer.
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