SQL Formatter - Free Online SQL Beautifier & Pretty Print

SQL Formatter

Format and beautify SQL queries instantly. Supports MySQL, PostgreSQL, SQLite, and ANSI SQL.

The SQL Formatter is a comprehensive online tool that transforms messy, compressed SQL queries into clean, readable code with proper indentation and structure. This essential utility supports multiple database systems including MySQL, PostgreSQL, SQLite, SQL Server, and Oracle, making it invaluable for database developers and analysts working across different platforms.

Advanced SQL Formatting Features

This SQL beautifier handles complex query structures including subqueries, CTEs (WITH clauses), stored procedures, and multi-statement scripts. Choose from multiple keyword casing options: UPPERCASE (SELECT, FROM, WHERE), lowercase, or preserve original casing to match your team's coding standards. The tool automatically aligns clauses and properly indents nested queries for maximum readability.

How to Use the SQL Formatter

Simply paste your SQL code into the input area and click format to instantly transform compressed queries into professionally structured code. The SQL pretty print feature maintains all original query logic while improving visual organization. Configure indentation preferences and keyword casing to match your project requirements or personal coding style.

Privacy and Compatibility

All SQL formatting occurs entirely within your browser using JavaScript - your queries never leave your device, ensuring complete data privacy and security. The formatter works with standard ANSI SQL and handles dialect-specific syntax from major database systems. This makes it perfect for teams working with multiple database platforms or migrating between systems.

Best Practices for SQL Code

Consistent formatting improves code maintainability and team collaboration. Use this online SQL formatter to standardize query appearance across your projects, making debugging easier and code reviews more efficient. Well-formatted SQL also helps identify optimization opportunities and logical errors that might be hidden in compressed code.

Frequently Asked Questions

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