⚡ SQL Formatter

Format, beautify, and syntax highlight your SQL queries. Support for multiple indentation styles and keyword case options.

Indent:

Keywords:

Line break after commas

Syntax highlighting

📝 Input SQL

✨ Formatted Output

📚 Try Examples:

🔧 Features

Format SQL: Automatically indent and organize SQL queries
Syntax Highlighting: Color-code keywords, functions, strings, and numbers
Customizable Indentation: Choose between 2 spaces, 4 spaces, or tabs
Keyword Case: Convert keywords to UPPERCASE, lowercase, or Capitalize
Minify: Compress SQL by removing unnecessary whitespace
Statistics: View line count, character count, and keyword count

📋 How to Use the SQL Formatter

Paste your SQL query, or load one of the examples such as JOIN, subquery or INSERT.
Set the indent size and the keyword case.
Select Format SQL, or Minify for a compact version.
Copy the result.

🎯 When to Use It

Making a long query from a log or an ORM readable.
Standardising query style across a team.
Reviewing joins and subqueries.

💡 Tips & Common Pitfalls

Formatting changes layout only, so the query returns the same results.
Dialects differ, so unusual syntax from a specific database may not be laid out ideally.
Use uppercase keywords so they stand out from table and column names.
Don't paste queries containing real credentials or sensitive data.

❓ Frequently Asked Questions

What is SQL formatting?

SQL formatting (or beautifying) is the process of organizing SQL code to make it more readable. This includes proper indentation, line breaks, and consistent keyword casing.

Why format SQL queries?

Formatted SQL is easier to read, debug, and maintain. It helps identify query structure, nested subqueries, and complex joins quickly, especially in large queries.

Does this support all SQL dialects?

Yes! This formatter supports standard SQL and works with MySQL, PostgreSQL, SQL Server, Oracle, SQLite, and other SQL databases.

What is SQL minification?

SQL minification removes unnecessary whitespace and line breaks to reduce query size. This is useful for optimizing storage or transmission of SQL queries.