JSON → Python
JSONGenerate Python TypedDict, dataclass, or Pydantic models from JSON
Paste a JSON object and pick TypedDict, dataclass, or Pydantic as the output style to get a matching Python model, with field names converted to snake_case and types inferred from the sample values, including nested classes for nested objects and arrays. Pydantic is the one to reach for when you actually need runtime validation of untrusted API data; TypedDict gives you static type hints with zero runtime cost, and dataclass sits in between as a plain object with sensible defaults. A field only gets marked Optional if the sample JSON shows it as `null`, not simply because it's absent from your example, so it's worth using a genuinely representative sample or adjusting optionality by hand afterward. Everything runs client-side, and the equivalent tool for Go output is JSON to Go Structs.
How to use JSON → Python
- 1.Paste a JSON API response and choose TypedDict, dataclass, or Pydantic to generate a matching Python model.
- 2.Use the Pydantic output when you need runtime validation for incoming API data, not just static type hints.
- 3.Paste nested JSON to get properly nested model classes instead of a single flat dictionary type.
Frequently asked questions
Use via API, SDK, or MCP
Installnpm install @utilix-tech/sdkUsageimport { json } from '@utilix-tech/sdk'
const result = json.jsonToPython('{"name":"Alice","age":30,"roles":["admin"]}')
console.log(result)
// from typing import TypedDict, List
// class Root(TypedDict):
// name: str
// age: int
// roles: List[str]Runs locally · no API key · no rate limits · Node.js SDK docs →