SQL Formatter & Beautifier
Clean, indent, and organize complex SQL queries instantly
Keep every query in your project laid out the same way
Teams rarely agree on how SQL should look, and pasting queries between editors, tickets and code reviews makes it worse. The SQL Formatter applies one consistent layout to whatever you give it: major clauses on their own lines, columns listed one per line, and joins and conditions indented beneath them. Uniform formatting makes diffs shorter and mistakes easier to spot.
Formatting step by step
- Paste your query into the SQL Query field, or use the Sample button to load an example with two joins.
- Choose your database from the Dialect list. Options are Standard SQL, MySQL, PostgreSQL, T-SQL (SQL Server) and PL/SQL (Oracle).
- Click Beautify & Format SQL.
- Check the Formatted Query, then press Copy or Download to save it as formatted.sql.
The page also shows the character counts before and after, plus the line count. The Structure Analysis section notes whether the query passes a basic check, names the table after the first FROM and counts JOINs.
Realistic ways to use it
- Cleaning up a query before pasting it into a pull request so reviewers can follow it.
- Standardizing snippets for a wiki or runbook so every example looks alike.
- Making a dense report query readable before adding a new column.
- Converting a single-line query from an application log into something you can edit.
Behavior and caveats
Formatting is done by the sql-formatter library, which the page fetches from a public CDN. When it is unavailable, a much simpler fallback places line breaks before major keywords. The dialect setting changes how identifiers and functions are parsed, so use MySQL for backtick-quoted names and T-SQL for square-bracket names. Indentation is fixed by the library, and keywords keep whatever capitalization you entered. The page shows Indentation and Uppercase Keywords controls, but in the current version they do not change the layout, so do not rely on them to enforce a style. Stored procedures with unusual vendor syntax may not lay out perfectly. If the result looks wrong, try a different dialect. The basic validation does not replace running the query on a real database. Processing is in your browser.
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