JSON to Python dataclass generator
Convert any JSON sample to a Python dataclass with type hints. Includes optional from_dict / to_dict converters. Runs entirely in your browser.
# context
Python 3.7+ dataclasses give you typed model classes with automatic `__init__`, `__repr__`, and `__eq__`. Pair with a JSON parser and you have a typed API client. This tool emits the dataclass plus from/to-dict helpers that handle the parsing.
JSON input
{
"id": 1,
"name": "Ada Lovelace",
"email": "[email protected]",
"active": true,
"roles": ["admin", "engineer"],
"createdAt": "2026-05-14T00:00:00Z"
}Output preview
from dataclasses import dataclass
from typing import List
@dataclass
class User:
id: int
name: str
email: str
active: bool
roles: List[str]
created_at: str
@staticmethod
def from_dict(obj: dict) -> 'User':
return User(
id=obj["id"],
name=obj["name"],
email=obj["email"],
active=obj["active"],
roles=obj["roles"],
created_at=obj["createdAt"],
)→ Open in JSON to Types generator (pre-filled)
# notes
- Field names are snake_cased; the from_dict helper maps the original camelCase JSON keys back.
- Date fields stay as `str`. Convert with `datetime.fromisoformat()` after parsing if you want native datetime.
- For pydantic models instead of dataclasses, the CLI quicktype has a `--python-version 3.7 --pydantic` flag combination; this UI defaults to plain dataclasses.