Tool Kumar tool
JSON to Python
Turn a JSON response into Python Pydantic model definitions. Use the generated code as a typed starting point, then add domain validation.
How to use this tool
- Paste a JSON object or API response.
- Choose Python (Pydantic) in the convert view.
- Set a root name and copy the model definitions.
Worked example
The Python models below are generated from the sample JSON.
Input
{"name":"Ada","age":36,"active":true,"tags":["json","tools"],"profile":{"city":"London"}}Output
from typing import List
from pydantic import BaseModel
class Profile(BaseModel):
city: str
class Root(BaseModel):
name: str
age: int
active: bool
tags: List[str]
profile: Profile
Options and edge cases
- Nested objects become nested BaseModel classes.
- Lists and optional values follow the observed sample.
- Review date, decimal and union rules for production data.
Private by default
Your document stays in this browser. Tool Kumar parses, converts and creates downloads on your device, with no account or upload step.
JSON to Python questions
- Does it generate Pydantic models?
- Yes. The Python target emits Pydantic BaseModel definitions with typed fields.
- What happens to JSON keys with hyphens?
- The converter creates a valid Python field name and keeps the source key with an alias when needed.
- Can I use a single JSON record?
- Yes. A single object is enough to infer a model. Use a broad sample when fields vary.