JSON to ORM Model Converter
Convert JSON to Django models, Pydantic, SQLAlchemy, TypeORM, Prisma, Go structs and 20 more formats. Field types are detected automatically, in your browser.
Model Generator
from django.db import models
class Product(models.Model):
name = models.CharField(max_length=255)
price = models.FloatField()
quantity = models.IntegerField()
is_available = models.BooleanField(default=False)
email = models.EmailField()
website = models.URLField()
created_at = models.DateTimeField()
tags = models.JSONField(default=dict)
specifications = models.JSONField(default=dict)
class Meta:
db_table = 'products'
def __str__(self):
return str(self.id)
About JSON to Multi-Language ORM Converter
The JSON to ORM Model Converter is a powerful, 100% client-side text-parsing utility that takes a raw JSON payload and automatically generates the corresponding database models for over 18 different frameworks across 8 programming languages.
Supported Frameworks
- Python: Django, Pydantic, SQLAlchemy, SQLModel, Tortoise, Peewee, MongoEngine, Dataclasses
- TS/JS: TypeORM, Prisma, Mongoose, Sequelize, Drizzle
- Mobile: Kotlin, Swift, Dart (Flutter)
- Other: Go Structs, Rust Serde, Java JPA, C# EF, Ruby ActiveRecord, PHP Eloquent, Scala Case Classes, Elixir Ecto, C++ Structs
Features & Security
- Auto-detects dates, emails, URLs, and relationships
- Generates idiomatic code for the chosen ORM
- 100% client-side processing — no data leaves your browser
- Instantly adapts to your JSON payload
Frequently Asked Questions
Is my API data safe?
Absolutely. All parsing and code generation happens locally in your browser using JavaScript. No data is sent to any server.
How does it detect dates and emails?
The tool uses regex pattern matching during type inference to determine if a string is a standard ISO datetime, date, URL, or email address, and maps it to the corresponding ORM specific field type.
What programming languages are supported?
We support 14 languages (Python, TypeScript/JavaScript, Go, Rust, Java, C#, Ruby, PHP, Kotlin, Swift, Dart, Scala, Elixir and C++) and 26 ORMs, schema libraries and struct formats.
How does the type inference work?
The tool analyzes your JSON values. If it sees a number, it checks if it's an integer or float. If it sees a string, it runs regex checks to see if it looks like a Date, DateTime, Email, or URL.
Can I use the generated code directly in production?
The generated code is meant to be a solid starting point. You will likely need to adjust relationships (foreign keys, many-to-many), unique constraints, and indexes according to your specific database schema.