JSON to Python Converter

How JSON maps to Python types

The tool reads the top-level keys of a JSON object and writes one dataclass field per key. Types come from the sample values you paste:

• number becomes float, boolean becomes bool and string becomes str.
• null, arrays and nested objects become Any.
• The output includes the dataclass and typing imports. An empty object produces a class with pass.

JSON to Python example

Input:

{"id":1,"name":"Ada","active":true,"address":{"city":"London"},"tags":["math"]}

// Python output
from typing import Any
from dataclasses import dataclass

@dataclass
class Root:
    id: float
    name: str
    active: bool
    address: Any
    tags: Any

What to review before you use the Python output

• Paste a JSON object, not a bare array. The tool walks the top-level keys, so an array root produces meaningless index names.
• Nested objects and arrays are not expanded into their own types. In the example, address and tags both fall back to a generic type, so write those types by hand.
• One sample cannot show which fields are optional or which numbers are integers. Numbers are always mapped to a floating-point type.
• Keys are used as field names unchanged. A key such as first-name or class is not a valid Python field name and needs renaming.
• The dataclass does not parse JSON by itself. Load the JSON with json.loads and pass the values in.

Related: JSON to TypeScript, JSON to Go, YAML to JSON, JSON Validator