SQL Input
This free online SQL Server to Python Dataclasses generator turns your CREATE TABLE DDL statements into ready-to-use Python Dataclasses instantly — with no server upload, no account, and no rate limits. Simply paste your SQL Server schema on the left and the generated Python Dataclasses code appears on the right in real time. All processing runs entirely in your browser using client-side JavaScript, keeping your database schema 100% private.
Code & Data Generator
Complete type mapping from SQL Server SQL column types to Python Dataclasses — including nullability, constraints, and gotchas.
| SQL Server Type | Python Dataclasses Type | Notes |
|---|---|---|
| INT IDENTITY(1,1) | int | field(default=None) for DB-generated PK |
| INT | int | — |
| BIGINT | int | — |
| FLOAT / REAL | float | — |
| DECIMAL / NUMERIC | Decimal | from decimal import Decimal |
| MONEY / SMALLMONEY | Decimal | Exact decimal arithmetic |
| VARCHAR / NVARCHAR | str | — |
| BIT | bool | — |
| DATETIME / DATETIME2 | datetime | from datetime import datetime |
| DATETIMEOFFSET | datetime | Use timezone-aware datetime |
| DATE | date | from datetime import date |
| UNIQUEIDENTIFIER | UUID | from uuid import UUID |
| VARBINARY / IMAGE | bytes | — |
| NULL column | Optional[Type] = None | — |
Everything you need to know about converting SQL Server to Python Dataclasses.
Paste your SQL Server CREATE TABLE statements into the SQL editor on the left. The Python Dataclasses output appears instantly on the right panel in real-time as you type.
Yes — completely. The entire conversion runs inside your browser using JavaScript. Your SQL is never sent to any server, logged, or stored anywhere. This makes it safe to use with production or confidential database schemas.
PostgreSQL, MySQL, SQLite, SQL Server, Oracle, and MariaDB DDL syntax are all supported. The parser auto-detects the dialect from your CREATE TABLE syntax automatically.
Yes! Paste multiple CREATE TABLE statements separated by semicolons and all tables will be converted simultaneously, including cross-table foreign key relationships.
Yes. NULL, NOT NULL, DEFAULT values, PRIMARY KEY, UNIQUE, and FOREIGN KEY constraints are all parsed and reflected in the Python Dataclasses output. Nullable columns are correctly typed as optional properties or nullable types.
Yes, SchemaForge is completely free with no usage limits, no account required, and no rate limits. The tool runs entirely in your browser and will always be free.