JSON Swiss

JSON Swiss

JSON To Python Generator

Need to convert Python into JSON Schema?

Convert dataclasses or BaseModel code into schemas.

Python → JSON Schema

JSON Input

1

Generated Python

Configuration

Enter JSON data to generate Python classes

Supports dataclasses, Pydantic models, and plain classes

How to convert JSON to Python – step-by-step guide

Use this JSON to Python generator to create typed dataclasses/models from JSON samples for services, scripts, and data pipelines.

  1. Step 1 – Paste a JSON sample

    • Paste a representative JSON object or array into the left editor.
    • Include nested objects, arrays, and nullable fields so types are inferred correctly.
    • Use Import to load JSON from a file, URL, or sample data.

  2. Step 2 – Choose Python model options

    • Pick a root Class Name for the generated model.
    • Decide how to represent optional fields (Optional[str]) and unknown values (Any).
    • Review nested objects and lists so they map to nested dataclasses and List[...] types.

  3. Step 3 – Review the generated code

    • Check field names, types, and how arrays/objects are modeled.
    • Adjust options like Root Type Name, null handling, and frameworks if available.
    • If a field is inferred incorrectly, tweak your sample JSON and regenerate.

  4. Step 4 – Use the models in Python

    • Copy the generated models into your project module.
    • Load JSON and map it into your models (manually or with a helper).
    • Validate input data at boundaries (API, queue, file) to avoid downstream errors.

  5. Step 5 – Copy or download

    • Copy the output into your project or download it as a file.
    • Run your formatter/linter to match your code style.
    • Add JSON parsing/serialization libraries if your language requires them.

Quick tips

  • Prefer dataclasses for lightweight models and static typing.
  • Use pydantic when you need runtime validation and coercion.
  • Keep one canonical schema/model per payload to avoid drift.
Example output (simplified)
# JSON input
{
  "id": 123,
  "name": "Maeve Winters",
  "email": "maeve@example.com",
  "active": true,
  "roles": ["admin", "editor"],
  "metadata": { "plan": "pro" },
  "createdAt": "2024-03-01T10:15:00Z",
  "score": 99.5,
  "notes": null
}

# Generated Python models (simplified)
from dataclasses import dataclass
from typing import Any, List, Optional

@dataclass
class Metadata:
  plan: str

@dataclass
class Root:
  id: int
  name: str
  email: Optional[str]
  active: bool
  roles: List[str]
  metadata: Metadata
  createdAt: str
  score: float
  notes: Any

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JSON Schema Generator

Generate a JSON Schema from JSON samples to validate payloads and contracts.

JSON Formatter & Validator

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JSON to TypeScript Generator

Generate frontend types that match the same Python API payloads.

Frequently Asked Questions

What Python code structures can be generated from JSON?

The Python generator creates dataclasses, plain Python classes, or Pydantic models based on your JSON input. It analyzes the JSON structure and generates corresponding Python code with proper type hints and validation.

Does the generator support modern Python features like type hints?

Yes! The Python generator uses modern Python features including type hints from the typing module, dataclasses, and optional typing. It's compatible with Python 3.8+ and follows current Python best practices.

Can I choose between different Python class styles?

Absolutely! You can generate dataclasses (recommended), plain Python classes, or Pydantic models depending on your project needs. Each style has different benefits for validation, serialization, and performance.

How are Python naming conventions handled?

The generator automatically converts camelCase JSON field names to snake_case Python field names while preserving the original structure. Type hints are properly applied based on the JSON data types.

JSON to Python Class Generator Online | JSONSwiss