SQL Formatter Online - MySQL, PostgreSQL & T-SQL

The SQL Formatter & Beautifier is a free, browser-based tool designed for database developers, DBAs, data analysts, and backend engineers who work with SQL queries daily. Whether you're debugging complex JOINs generated by Entity Framework, formatting stored procedures for code review, cleaning up minified SQL from production logs, or learning SQL by studying well-formatted examples, this tool transforms messy, unreadable SQL into clean, properly indented code that follows industry best practices. It supports all major SQL dialects including MySQL, PostgreSQL, SQL Server (T-SQL), SQLite, and Standard SQL, with customizable keyword case and indentation options to match your team's coding standards. All processing happens 100% client-side in your browser—your SQL queries never leave your device, ensuring complete privacy and security for sensitive production queries, database schemas, or business logic embedded in WHERE clauses.

Key Features:

• Multiple SQL dialects: Support for MySQL, PostgreSQL, SQL Server (T-SQL), SQLite, and Standard SQL with dialect-specific formatting rules
• Custom keyword case: Choose UPPERCASE (e.g., SELECT), lowercase (e.g., select), or preserve original capitalization
• Flexible indentation: 2 spaces, 4 spaces, or tab characters to match your project standards
• Instant formatting: Real-time beautification with proper indentation for nested queries, JOINs, and subqueries
• 100% client-side: All SQL processing happens in your browser—no server uploads, no data logging, complete privacy
• No registration required: Start formatting immediately with no signup, login, or account creation
• Handles complexity: Format simple SELECT statements or complex stored procedures with CTEs, window functions, and triggers
• No file size limits: Format queries with thousands of lines without performance degradation
• Copy & Download: One-click copy to clipboard or save as .sql file for version control
• Dark mode support: Comfortable viewing during late-night database optimization sessions
• Syntax preservation: Formatting never changes query logic or results—only improves readability
• Fast & lightweight: Instant results with minimal JavaScript, no page reloads

Common Use Cases:

• Debugging ORM-Generated Queries: ORMs like Entity Framework, Sequelize, Hibernate, and Django ORM generate SQL that is often poorly formatted or minified. When queries perform poorly or return unexpected results, paste the generated SQL here to see the structure clearly, identify missing indexes, spot N+1 query problems, understand JOIN conditions, and optimize WHERE clauses.
• Code Review Preparation: Before committing stored procedures, views, or migrations to Git, format them with consistent indentation and keyword case. This makes code reviews much easier for teammates, reduces diff noise in version control, ensures compliance with team SQL style guides, and helps catch logic errors during visual inspection.
• Production Log Analysis: When debugging production issues, database logs often contain minified or single-line SQL queries. Format these queries to quickly understand what the application is executing, identify slow query patterns, spot missing WHERE clauses or indexes, and reproduce issues in development environments.
• Learning SQL: Students and new developers learning SQL benefit immensely from seeing well-formatted queries. Paste example queries from tutorials or Stack Overflow, format them properly, and study the structure to understand JOIN syntax, subquery nesting, CASE statement logic, and aggregate function usage. Properly formatted SQL makes learning patterns much clearer.
• Database Migration Scripts: When writing Flyway, Liquibase, or manual migration scripts with complex DDL (CREATE TABLE, ALTER TABLE) or data transformations, format the SQL to ensure correctness, make it easier for teammates to review schema changes, and maintain consistent formatting across all migration files.
• Stored Procedure Development: Format multi-statement stored procedures, triggers, and functions to better understand control flow (IF/ELSE, WHILE loops), see variable declarations and assignments clearly, identify error handling logic (TRY/CATCH in T-SQL), and ensure proper transaction boundaries (BEGIN TRANSACTION, COMMIT, ROLLBACK).

Supported SQL Dialects:

SQL Formatting Best Practices:

• Uppercase keywords: Use UPPERCASE for SQL keywords (SELECT, FROM, WHERE, JOIN) for better readability and distinction from identifiers
• Consistent indentation: Use 2 or 4 spaces (not tabs) for cross-platform compatibility and cleaner diffs in version control
• One clause per line: Place each major clause (SELECT, FROM, WHERE, GROUP BY, ORDER BY) on a new line
• Align JOIN conditions: Indent JOIN clauses and align ON conditions for clarity in multi-table queries
• Indent subqueries: Add indentation levels for nested subqueries to show hierarchy and nesting depth
• Line break for columns: In SELECT statements with many columns, place each column on a new line with trailing commas
• Use table aliases: Define short, meaningful aliases for tables (e.g., `u` for users, `o` for orders) to reduce query verbosity
• Comment complex logic: Add inline comments (-- comment) to explain non-obvious WHERE conditions or business rules
• Consistent naming: Use either snake_case or camelCase consistently for table and column names across your schema
• Format before committing: Always format SQL before committing to version control to maintain consistency across the team

Example Formatting Comparison:

select u.id,u.name,o.total from users u inner join orders o on u.id=o.user_id where o.status='completed' and o.total>100 order by o.created_at desc limit 10;

SELECT
  u.id,
  u.name,
  o.total
FROM users u
INNER JOIN orders o
  ON u.id = o.user_id
WHERE o.status = 'completed'
  AND o.total > 100
ORDER BY o.created_at DESC
LIMIT 10;