JSON Formatter
Format, validate and minify JSON instantly in your browser.
SQL Formatter & Beautifier
Writing, reviewing, or debugging SQL queries is much easier when the code is properly formatted. This free tool beautifies, minifies, and uppercases SQL keywords entirely in your browser, giving developers and database administrators a fast way to clean up queries and improve readability with no sign-up or server processing.
How to Use This Tool
- Paste or type your SQL into the text area above. You can paste queries from your editor, database client, or log files.
- Choose indentation — select 2 spaces, 4 spaces, or tab from the indent dropdown to match your team's coding style.
- Format — click "Format" to beautify your SQL with proper line breaks and indentation, placing each major clause on its own line for easy reading.
- Minify — click "Minify" to collapse the query onto a single line, removing all unnecessary whitespace for embedding in scripts or log analysis.
- Copy the output — click "Copy" to copy the formatted or minified result to your clipboard, ready to paste into your editor or database client.
What Is SQL Formatting?
SQL formatting is the process of restructuring a SQL query's whitespace, line breaks, and indentation so the logical structure of the query is immediately apparent. A well-formatted query places each clause (SELECT, FROM, WHERE, JOIN, ORDER BY) on its own line and indents sub-clauses and conditions consistently, making it easy to trace the flow of data from source tables through filters and transformations to the final result set.
Consistent formatting is especially important in collaborative environments where multiple developers work on the same codebase. Without a standard style, queries in code reviews can be difficult to parse, and subtle errors like a misplaced AND or a missing JOIN condition are easy to overlook. Automated formatting eliminates style debates and ensures every query meets the same readability standard.
Beyond readability, formatting also helps with version control. When every developer formats queries the same way, diffs between commits show only meaningful logic changes rather than cosmetic whitespace differences. This makes pull request reviews faster and reduces the chance of merge conflicts caused by competing formatting styles.
Frequently Asked Questions
What does SQL formatting do?
SQL formatting takes a raw or minified SQL query and adds consistent line breaks, indentation, and spacing so the structure of the query is immediately visible. Keywords like SELECT, FROM, WHERE, and JOIN each start on their own line, and nested sub-queries are indented to show their depth. This makes complex queries much easier to read, review, and debug.
Why should I uppercase SQL keywords?
Uppercasing SQL keywords (SELECT, FROM, WHERE, etc.) is a widely adopted convention that visually separates the structural clauses of a query from table names, column names, and values. While SQL itself is case-insensitive for keywords, uppercase keywords improve readability and make code reviews faster, especially in large queries with many columns and conditions.
Does this tool modify my data or query logic?
No. The formatter only changes whitespace, line breaks, and optionally the case of SQL keywords. It never alters table names, column names, string literals, numeric values, or the logical structure of your query. The formatted output is semantically identical to the original input.
What SQL dialects does this formatter support?
This formatter handles standard SQL syntax that is common across most database systems including MySQL, PostgreSQL, SQLite, SQL Server, and Oracle. It recognises all major clause keywords (SELECT, FROM, WHERE, JOIN, GROUP BY, ORDER BY, HAVING, LIMIT, UNION, etc.) as well as DDL statements (CREATE, ALTER, DROP) and DML statements (INSERT, UPDATE, DELETE). Dialect-specific extensions will pass through unmodified.
Is my SQL sent to a server?
No. All formatting happens entirely in your browser using JavaScript. Your SQL query never leaves your device, making this tool safe for use with production queries, sensitive data, and proprietary schemas. There is no server-side processing, no logging, and no tracking.