SQL Table Generator: Build CREATE TABLE Statements
SQL Table Generator creates SQL CREATE TABLE statements for MySQL, PostgreSQL, SQLite, SQL Server, and Oracle. Design columns visually or paste CSV or JSON sample data to infer column types automatically. Configure column names, types, length, nullability, primary key, unique, auto-increment, and defaults, then choose optional IF NOT EXISTS or DROP IF EXISTS behavior for the generated statement.
SQL Table Generator is a browser-based SQL schema generator that creates CREATE TABLE statements. Use it to create SQL table definitions online for MySQL, PostgreSQL, SQLite, SQL Server, and Oracle. You can design columns visually or provide sample data to help build a table definition.
To start from data, paste CSV or JSON and the tool infers column types automatically. You can also set column names, types, length, nullability, primary key, unique, auto-increment, and defaults. The generated statement can optionally include IF NOT EXISTS or DROP IF EXISTS, giving you control over these clauses in the output.
CSV and JSON represent structured data, while SQL CREATE TABLE statements define a table's columns and their properties for a database. Converting sample data into a table definition can help when preparing a schema for an application, tests, fixtures, or seed-data workflows. The tool supports multiple SQL dialects so you can choose the target format before generating SQL.
SQL Table Generator runs entirely in your browser: your input is processed on your device and is not sent to a server. After the page has loaded, it works offline without a server connection. Developers and DevOps engineers can use it to create or adapt table definitions without drafting every column statement manually.
Step 1: Choose a SQL dialect from MySQL, PostgreSQL, SQLite, SQL Server, or Oracle to shape the CREATE TABLE statement for your database.
Step 2: Add columns visually or paste CSV or JSON sample data to infer column types automatically.
Step 3: Configure column names, types, length, nullability, primary key, unique, auto-increment, and defaults as needed.
Step 4: Choose whether to include IF NOT EXISTS or DROP IF EXISTS, then generate the CREATE TABLE statement.
Step 5: Copy the generated SQL for your schema, test, fixture, or seed-data workflow.
Use case: Prepare CREATE TABLE statements for test or fixture schemas, so a database structure is ready before you run tests.
Use case: Define several columns visually in one table instead of writing each column definition by hand.
Use case: Use CSV or JSON sample data to infer column types when translating an existing dataset into a table schema.
Use case: Generate a database-specific statement for MySQL, PostgreSQL, SQLite, SQL Server, or Oracle without manually adapting the dialect.
Use case: Set nullability, primary key, unique, auto-increment, and defaults while designing a schema for an application.
Use case: Add IF NOT EXISTS or DROP IF EXISTS to the generated statement when that option suits your table-creation workflow.