SQL Indenter - Online Just Prettify Your Queries

A SQL formatter (also called a SQL beautifier or indenter) automatically reformats your SQL code to follow consistent indentation, capitalization, and spacing rules. It makes queries easier to read, debug, and maintain—especially when working with long or complex queries spanning hundreds of lines. Consistent formatting also helps teams collaborate more effectively during code reviews.

No. Formatting only changes whitespace, line breaks, and keyword casing—it does not alter your SQL logic, table names, column references, or data values. String literals inside single or double quotes are preserved exactly as-is. The formatted query will produce identical results when executed against your database.

This formatter supports common SQL dialects including MySQL, PostgreSQL, SQLite, Microsoft SQL Server (T-SQL), Oracle PL/SQL, and standard ANSI SQL. It recognizes keywords from all major dialects—SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER, WITH (CTEs), window functions, CASE expressions, and more.

Format (beautify) adds proper indentation, line breaks, and consistent keyword casing to make your SQL more readable. Minify (compress) does the opposite—it removes all unnecessary whitespace and line breaks to produce the most compact representation possible, which can be useful for embedding SQL in application code or reducing network payload size.

Yes! This tool runs entirely in your browser using client-side JavaScript, so there are no file size limits imposed by a server. It can handle SQL scripts with thousands of lines. For very large files, formatting may take a fraction of a second longer, but performance remains fast thanks to optimized tokenization and efficient regex-based processing.

Absolutely. All formatting happens entirely in your browser. Your SQL code is never uploaded to any server, transmitted over the network, or stored anywhere. This tool is completely offline-capable and respects your privacy—perfect for formatting sensitive database queries containing proprietary business logic or personal data.