- Developer tools
- JSON to Pydantic Model
JSON to Pydantic model converter
Paste a JSON payload and generate clean Python BaseModel classes with typing annotations for FastAPI, data pipelines, or LLM structured outputs — all computed locally on your machine.
Free in your browser — no sign-up. Install from the Microsoft Store to use it offline on Windows 10 and 11.
How to use it
- Open the JSON tool and paste your sample JSON.
- Select Convert to → Python (Pydantic).
- Copy the generated
BaseModelclasses into your Python project.
Example
{
"user_id": 101,
"username": "ada",
"is_admin": true,
"tags": ["ml", "math"]
}from typing import List
from pydantic import BaseModel
class Root(BaseModel):
user_id: int
username: str
is_admin: bool
tags: List[str]Features
- Pydantic BaseModel classes with accurate
int,float,str,bool, andListannotations. PRO - Nested model extraction — nested JSON objects automatically become separate child
BaseModelclasses. - Optional fields support — toggle
Optional[...]annotations in one click.
Frequently asked questions
Is my JSON uploaded to generate Pydantic models?
No. Everything runs locally in your browser or the CodeForge Windows app.
Does it support nested JSON objects and arrays?
Yes. Nested objects are extracted into their own named BaseModel classes in PascalCase.
Related tools
One workspace for all of it
JSON to Pydantic Model is one of 18 developer tools in CodeForge — alongside a JSON formatter, JWT decoder, regex tester, UUID and hash generators, and more. Press Ctrl+K to jump to any of them.
Free in your browser — no sign-up. Install from the Microsoft Store to use it offline on Windows 10 and 11.