Online SQL Beautifier and Query Keyword Capitalizer
Paste your messy, single-line SQL queries here to instantly format them into readable code. This lightweight beautifier automatically capitalizes SQL keywords and adds clean indentation to your clauses, making database debugging a breeze!
SQL Formatting Features
Keyword Uppercasing: All SQL keywords (SELECT, FROM, WHERE, JOIN, GROUP BY, etc.) auto-uppercased to convention
Sample Query Included: Test instantly with a real multi-JOIN SQL query, no prep needed
Full Keyword Coverage: SELECT, FROM, WHERE, JOIN, GROUP BY, ORDER BY, HAVING, LIMIT, UPDATE, SET, DELETE, INSERT INTO, VALUES and more
One-Click Download: Save formatted SQL as query.formatted.sql directly
Syntax Highlighting: Color-coded SQL editor for comfortable reading after formatting
One-Click Copy: Copy the clean result to clipboard and paste anywhere
JOIN Support: INNER JOIN, LEFT JOIN, RIGHT JOIN all formatted and placed correctly
100% Browser-Based: Your queries and data never leave your device
Perfect for database developers, backend engineers, data analysts, BI developers, students learning SQL, and anyone who inherits a wall of unreadable SQL they need to understand fast.
Frequently Asked Questions
A SQL formatter (also called a SQL beautifier or SQL pretty printer) takes collapsed, single-line, or inconsistently formatted SQL and restructures it with proper line breaks, keyword casing, and indentation making complex queries readable in seconds. You need one when debugging queries written under deadline pressure, reading SQL generated by ORMs or query builders, inheriting legacy database code, or reviewing SQL in pull requests. Our tool formats any query in one click, paste, format, copy.
aste your collapsed SQL into the editor and click 'Format SQL'. The tool collapses whitespace, uppercases all keywords, breaks each major clause onto its own line, indents AND/OR/ON conditions, and normalizes comma spacing, all in under a second. A single-line query like select id, name from users where status = 'active' and id > 100 order by name becomes a clean, multi-line, properly structured query instantly. Click 'Insert Sample' for a live before-and-after with a real multi-JOIN query.
By universal SQL convention, keywords should be uppercase (SELECT, FROM, WHERE, JOIN) and identifiers like table names, column names, and aliases should be lowercase or match your schema's casing. Uppercase keywords make it instantly clear which parts of a query are SQL syntax and which are your data, a critical distinction when reading complex joins and subqueries. While SQL itself is case-insensitive for keywords, uppercase keywords are the industry standard in professional codebases, code reviews, and SQL style guides. Our formatter enforces this automatically so you never have to fix casing manually.
Our formatter handles standard SQL syntax that is common across all major dialects keywords, clauses, JOIN types, conditions, and aggregate functions that work in MySQL, PostgreSQL, SQLite, SQL Server (T-SQL), Oracle, and MariaDB. Since it formats based on keyword recognition and structure rather than strict dialect-specific parsing, it correctly formats the vast majority of queries written in any of these systems. Dialect-specific syntax (like TOP in T-SQL or LIMIT/OFFSET in MySQL) is included in the keyword list and formatted correctly. Highly specialized stored procedure syntax or vendor-specific extensions may not be fully structured but will still be keyword-uppercased and whitespace-normalized.
They serve three different purposes. A SQL formatter restructures code for readability, it changes whitespace, casing, and layout without checking logic or syntax validity. A SQL linter checks for style violations and anti-patterns (like SELECT *, missing aliases, or implicit joins) and suggests improvements. A SQL validator parses the query against a specific database dialect and reports actual syntax errors that would prevent execution. Our tool is a formatter, it makes your SQL readable and consistently styled. For validation, you'd run the query against your database; for linting, tools like SQLFluff are complementary.