What is SQL to SQLAlchemy Converter?

This tool converts SQL CREATE TABLE statements into SQLAlchemy ORM model definitions. SQLAlchemy is the most widely used Python SQL toolkit and Object-Relational Mapping (ORM) library. The converter generates declarative_base models with proper Column() definitions, type mappings, constraints, and relationships.

How to Use

Select your database dialect (PostgreSQL, MySQL, or SQLite)
Paste your SQL CREATE TABLE statements into the input area
Click "Generate SQLAlchemy Model" to create the model definitions
Copy the output and save it in your Python project

Why Use This Tool?

Automatically map SQL types to SQLAlchemy Column types

Handles PRIMARY KEY, NOT NULL, DEFAULT, UNIQUE, and REFERENCES constraints

Generates ForeignKey and relationship() for referenced tables

Supports PostgreSQL, MySQL, and SQLite dialect-specific imports

Produces clean, idiomatic Python code with declarative_base pattern

Tips & Best Practices

SERIAL columns are mapped with primary_key=True and autoincrement=True
Foreign key references generate both ForeignKey() and relationship() definitions
Dialect-specific types like JSONB (PostgreSQL) and TINYINT (MySQL) are imported automatically
DEFAULT values like NOW() are converted to func.now() for SQLAlchemy compatibility

Frequently Asked Questions

What is SQLAlchemy?

SQLAlchemy is a Python SQL toolkit and Object-Relational Mapping (ORM) library that provides a full suite of well-known enterprise-level persistence patterns. It allows developers to work with databases using Python objects instead of raw SQL.

How are SQL types mapped to SQLAlchemy Column types?

SQL types are mapped to SQLAlchemy Column types based on the selected dialect. For example, VARCHAR maps to String, INTEGER maps to Integer, TIMESTAMP maps to DateTime, BOOLEAN maps to Boolean, NUMERIC maps to Numeric, and UUID maps to UUID.

What is the difference between dialects?

Each database dialect has specific types and features. PostgreSQL supports JSONB, UUID, INET, and timezone-aware timestamps. MySQL supports TINYINT, YEAR, MEDIUMTEXT, and LONGTEXT. SQLite has a simpler type system. The converter imports dialect-specific modules accordingly.

How are foreign key relationships handled?

REFERENCES constraints in SQL are converted to ForeignKey() column arguments and relationship() properties on the model. This allows you to navigate between related objects using Python attribute access.

Is my SQL data sent to a server?

No, all processing happens entirely in your browser. Your SQL schema never leaves your device.

SQL to SQLAlchemy Converter