Generate Python Pydantic models directly from your JSON data, streamlining data validation and serialization in Python applications.

JSON to Pydantic Model Converter | JSON Jetstream

Generating Pydantic Models from JSON

Automate Python data validation and serialization by converting JSON to Pydantic models.

Pydantic is a popular Python library for data validation and settings management using Python type annotations. It provides a powerful way to define data schemas in a clear, Pythonic way. A JSON-to-Pydantic converter automates the process of creating these schemas by inferring the data types and structure from a sample JSON object. This saves developers from the tedious and error-prone task of manually writing Pydantic models that match a complex JSON structure. By generating these models, you can instantly leverage Pydantic's robust validation capabilities, ensuring that the data your Python application consumes is always correct. It also simplifies serialization and provides excellent editor support with autocompletion, making your code more reliable and easier to maintain.

Pydantic Official Documentation Python Type Hints (PEP 484)

Frequently Asked Questions

What is Pydantic?

Pydantic is a Python library that uses Python type hints to define data models. It automatically validates data when it's assigned to these models, ensuring your data conforms to a specific structure and type, which is crucial for robust applications.

Why convert JSON to Pydantic models?

Converting JSON to Pydantic models automates the creation of data validation schemas in Python. This saves significant development time, reduces boilerplate code, and ensures that any JSON data consumed by your Python application is automatically validated against the defined model.

Can Pydantic models handle complex JSON structures?

Yes, Pydantic is highly capable of handling complex and nested JSON structures. It supports nested models, lists of models, and various data types, allowing you to accurately represent intricate JSON data.

JSON Input

Paste your JSON below to get started.

JSON to Pydantic Model

Generate Python Pydantic models from your JSON data.

from typing import List, Optional, Any
from pydantic import BaseModel

class Shields(BaseModel):
    capacity: str

class Warpdrive(BaseModel):
    max_speed: float
    manufacturer: str

class Systems(BaseModel):
    warp_drive: Warpdrive
    shields: Shields

class Seniorstaff(BaseModel):
    name: str
    position: str
    species: str

class Vessel(BaseModel):
    name: str
    registry: str
    class: str
    status: str
    commissioned: bool
    launch_year: int
    senior_staff: List[Seniorstaff]
    systems: Systems

class MyModel(BaseModel):
    vessel: Vessel



# Example usage:
data = {
  "vessel": {
    "name": "USS Enterprise",
    "registry": "NCC-1701-D",
    "class": "Galaxy-class",
    "status": "Active",
    "commissioned": true,
    "launch_year": 2363,
    "senior_staff": [
      {
        "name": "Jean-Luc Picard",
        "position": "Captain",
        "species": "Human"
      },
      {
        "name": "William T. Riker",
        "position": "First Officer",
        "species": "Human"
      },
      {
        "name": "Data",
        "position": "Second Officer",
        "species": "Android"
      },
      {
        "name": "Worf",
        "position": "Chief of Security",
        "species": "Klingon",
        "notes": null
      }
    ],
    "systems": {
      "warp_drive": {
        "max_speed": 9.6,
        "manufacturer": "Yoyodyne Propulsion Systems"
      },
      "shields": {
        "capacity": "4,590,000 TJ"
      }
    }
  }
}

try:
    my_model_instance = MyModel(**data)
    print(my_model_instance.model_dump_json(indent=2))
except Exception as e:
    print(f"Error instantiating model: {e}")

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