SQL Formatter Online - Free SQL Query Beautifier

Format and beautify SQL queries. Fast, secure, and completely free. All processing happens in your browser — no data is sent to any server.

What is an SQL Formatter?

A SQL Formatter takes a dense, single-line query — the kind generated by an ORM, copied from a slow-query log, or written in a hurry — and reflows it into a structured layout with each clause (SELECT, FROM, WHERE, JOIN, GROUP BY, ORDER BY) on its own indented line. SQL has no whitespace requirements the way Python does, so a 200-character query can technically be valid on one line, but tracing which columns belong to which JOIN, or spotting a missing AND, becomes genuinely hard without visual structure. This tool re-tokenizes the query and applies consistent capitalization and indentation rules so the logic of the query — not its formatting — is what stands out.

How to Use SQL Formatter

1. Paste a SQL query — from a log file, an ORM debug output, or your own draft — into the input box
2. Click 'Format' to break it into indented clauses with keywords capitalized consistently
3. Review nested subqueries, which are indented one level deeper than their parent query
4. Adjust the keyword case (upper/lower) if your team follows a specific SQL style guide
5. Copy the formatted query into your codebase, a migration file, or a code review comment

Key Features

• Clause-aware indentation for SELECT, JOIN, WHERE, GROUP BY, HAVING and ORDER BY
• Consistent keyword casing across the whole query
• Handles nested subqueries and CTEs (WITH clauses) with correct indentation
• Supports common dialect variations (MySQL, PostgreSQL, SQL Server syntax)
• No data ever leaves your browser — safe for queries referencing real table or column names

Why Use SQL Formatter?

A slow-query log or an ORM's generated SQL is almost never written for humans — it's one long line with minimal spacing, built for the database engine, not for review. When you're debugging a performance issue or reviewing a teammate's raw SQL in a pull request, reformatting it first turns a wall of text into something you can actually reason about: which table each JOIN condition applies to, whether a WHERE clause covers every branch of an OR, or why a subquery is correlated to the outer query.

Common Use Cases

• Reformatting a query copied from a database slow-query log before investigating it
• Cleaning up ORM-generated SQL for a code review or documentation
• Making a long analytical query with multiple JOINs and CTEs readable before sharing it
• Standardizing SQL style across a team that pastes raw queries into tickets
• Preparing a query for a blog post, wiki page, or internal runbook

Frequently Asked Questions

Does formatting change how the query executes?

No. Formatting only affects whitespace and keyword casing — the query's logic, table references, and clause order are preserved exactly, so execution behavior doesn't change.

Does it support dialect-specific syntax like MySQL backticks or PostgreSQL's ::type casts?

Yes, common dialect syntax is recognized and preserved, though very database-specific extensions may format less predictably than standard ANSI SQL.

Can I format a query that includes stored procedure calls or PL/SQL blocks?

Simple procedure calls format fine; large procedural blocks with control-flow statements (loops, IF/ELSE) are better handled by a dedicated PL/SQL formatter since the tool focuses on standard query clauses.

Will it validate that my SQL is syntactically correct?

It applies formatting on a best-effort basis; use the dedicated SQL Validator tool if you need explicit syntax error checking rather than just readability formatting.

Is my query text sent to a server for formatting?

No — parsing and formatting happen in JavaScript inside your browser tab, which matters if your query references real production table or column names.

Guides

• SQL Query Formatting Best Practices

Related Tools

• SQL Validator — Validate SQL syntax and check for errors
• SQL Minifier — Minify SQL queries to single line
• JSON Formatter — Format, beautify and validate JSON data