SQL Formatter & Beautifier

Data Formats

Format messy SQL queries into readable code

Learn More About SQL Formatter & Beautifier

2 articles to help you understand and use this tool effectively

SQL Formatter & Beautifier FAQ

Common questions about using the SQL Formatter & Beautifier tool

Paste your SQL in the input field and click Format. The tool adds proper indentation, line breaks, and keyword capitalization. Copy the formatted result. Supports SELECT, INSERT, UPDATE, DELETE, CREATE, and complex queries.

The formatter supports major SQL dialects: MySQL, PostgreSQL, SQL Server (T-SQL), Oracle, SQLite, and standard SQL. Most formatting rules apply across dialects. Dialect-specific syntax is preserved.

Uppercase keywords (SELECT, FROM, WHERE) is a common convention for readability, distinguishing keywords from identifiers. However, SQL is case-insensitive for keywords. Choose a style and be consistent. The formatter can enforce either style.

The formatter places each JOIN on a new line with proper indentation. ON conditions align beneath. Complex joins with multiple conditions are formatted for readability. Nested subqueries are indented appropriately.

Select 'Minify' mode to remove whitespace and newlines, producing compact SQL. Useful for logging, embedding in code, or reducing payload size. Note: minified SQL is harder to read and debug.

Common conventions: 2-4 space indentation, keywords on new lines, align columns in SELECT, indent JOIN/WHERE clauses. Rivers-style aligns keywords right. Choose a team standard and enforce with formatters.

Subqueries are indented within their context (SELECT, FROM, WHERE). The formatter adds parentheses alignment and proper line breaks. Complex nested queries become readable with hierarchical indentation.

Yes, the formatter handles procedural SQL including CREATE PROCEDURE, BEGIN/END blocks, IF/ELSE, loops, and variable declarations. Control flow statements are properly indented.

Comments are preserved: -- for single line, /* */ for multi-line. The formatter maintains comment positioning relative to code. Comments help document complex queries and business logic.

Formatted SQL is: easier to read and review, simpler to debug, more maintainable by teams, and helps spot errors. Consistent formatting reduces cognitive load and makes code reviews faster.