SQL formatter: beautify and format SQL queries online. Support for MySQL, PostgreSQL, SQL Server, Oracle. Indent, uppercase keywords, add line breaks.
Use this free online SQL Formatter directly in your browser. No signup required, no data leaves your device. Part of Utilier — a collection of 133+ developer utilities.
What is SQL Formatter - Beautify & Format SQL Queries Online (MySQL, PostgreSQL, SQL Server)?
SQL formatter beautifies and formats SQL queries for better readability. Features: automatic indentation, keyword capitalization (SELECT, FROM, WHERE → uppercase), line breaks before clauses, comment preservation, syntax highlighting. Supports: MySQL, PostgreSQL, SQL Server, Oracle, SQLite. Input: minified or poorly formatted SQL (SELECT*FROM users WHERE id=1). Output: properly indented, readable SQL with keywords uppercase, aligned columns. Use cases: code review (readable queries), debugging (spot syntax errors), documentation (clean examples), learning SQL (understand query structure), version control (consistent formatting).
Automatic indentation: Indents nested queries, JOIN clauses, subqueries. Configurable: 2-space, 4-space, tabs. Aligns columns and conditions for visual clarity. Example: nested SELECT gets extra indentation.
Keyword capitalization: Converts keywords to uppercase: select → SELECT, where → WHERE, join → JOIN. Distinguishes keywords from table/column names. Consistent style across queries. Configurable: UPPERCASE, lowercase, or preserve case.
Line break placement: Adds line breaks before major clauses: SELECT, FROM, WHERE, GROUP BY, ORDER BY. Separates logical sections. Makes long queries scannable. Each clause on new line for clarity.
Multiple SQL dialects: Supports MySQL (LIMIT, backticks), PostgreSQL (RETURNING, ::casting), SQL Server (TOP, [brackets]), Oracle (ROWNUM, (+) joins). Detects dialect or manual selection.
Why use sql formatter?
Make SQL queries readable, easier to debug, maintain consistent formatting, improve code reviews.
Readability: Formatted SQL is easier to read and understand. Indent shows structure (main query vs subquery). Keywords stand out (UPPERCASE). Aligned columns reduce errors. Team collaboration: everyone reads same style.
Debugging: Well-formatted queries reveal syntax errors visually. Missing JOIN condition obvious when aligned. Parenthesis matching easier with indentation. Spot logic errors: wrong table in subquery stands out.
Documentation: Clean SQL for technical docs, wiki, README. Examples look professional. Consistent formatting across documentation. Easy copy-paste for users. No manual formatting needed.
Version control: Consistent formatting reduces diff noise. Git shows meaningful changes (logic) not formatting. Team uses same style (no mixed tabs/spaces). Pre-commit hook can auto-format SQL.
Learning SQL: Formatted queries teach query structure visually. See how JOINs nest, WHERE filters apply, subqueries embed. Example queries easier to study. Understand execution order from layout.
When to use sql formatter
Use when working with SQL queries that need formatting or beautification.
Pasted minified SQL from logs or network capture (one-line queries).
Legacy code with inconsistent formatting (mixed case, random indentation).
Generated SQL from ORMs (Django ORM, Hibernate) that outputs unformatted queries.
Documentation and examples (need clean, professional-looking SQL).
Code review (make queries readable for reviewers).
Debugging complex queries (visualize structure and logic).
Learning SQL (understand query structure through formatting).
Team standards (enforce consistent SQL style across projects).
How to use sql formatter
Paste SQL query, select options, format to get beautified output.
Paste SQL: Copy SQL from: application logs, database client, code editor, ORM output. Paste into input area. Can be: single query, multiple queries, any length. Minified or already formatted.
Select SQL dialect: Choose: MySQL, PostgreSQL, SQL Server, Oracle, Generic. Affects: keyword recognition, function handling, quote style. Auto-detect: tool attempts to identify dialect from syntax. Manual select for accuracy.
Configure options: Indentation: 2-space, 4-space, tabs. Keyword case: UPPERCASE (default), lowercase, preserve. Line breaks: before clauses, after commas. Alignment: align right-hand side of assignments.
Format query: Click Format button. Tool processes: tokenizes SQL, parses structure, applies indentation rules, capitalizes keywords, adds line breaks. Output: beautified SQL. Preserves: comments, strings, original logic.
Copy formatted SQL: Click copy button or select all. Paste into: code editor, documentation, SQL client, version control. Use formatted query directly (logic unchanged, only style improved).
Validate syntax: Some formatters validate SQL syntax. Shows: errors, warnings, suggestions. Helps catch: missing parentheses, invalid keywords, typos. Fix errors then re-format for clean output.
Batch formatting: Format multiple queries at once. Separated by semicolons. All formatted consistently. Batch processing.
Copy to clipboard: One-click copy of formatted SQL. Paste directly into code or documentation. No manual selection needed.
Common use cases
Log analysis: Database logs contain minified one-line queries. Format to understand: what tables accessed, what filters applied, query logic. Debug slow queries.
ORM-generated SQL: Django ORM, Hibernate, Entity Framework output unformatted SQL. Format to: verify generated query correctness, optimize performance, understand what ORM does.
Code review: Reviewer receives SQL changes. Format both old and new versions. Compare logic visually. Spot: incorrect JOINs, missing indexes, inefficient subqueries.
Documentation: Technical docs need clean SQL examples. Format queries for: API documentation, database schema docs, migration scripts, user guides. Professional appearance.
Migration scripts: Database migration files (Flyway, Liquibase) with complex SQL. Format for: readability during review, easier debugging if migration fails, team understanding.
Learning SQL: Students copy SQL from tutorials or examples. Format to: see structure clearly, understand clause order, learn best practices visually.
Team standards: Enforce consistent SQL style across team. Pre-commit hook formats SQL files. Everyone uses same: indentation, case, line breaks. Reduces merge conflicts.
Examples
SQL formatting examples showing before and after.
Basic SELECT
select*from users where id=1
SELECT\n *\nFROM users\nWHERE id = 1
Keyword uppercase, indentation added, spaces around operators.
JOIN query
SELECT u.name,o.total FROM users u JOIN orders o ON u.id=o.user_id WHERE o.total>100
Formatted with JOINs on separate lines, conditions aligned, indented.
Visual hierarchy shows table relationships. ON clause aligned.
Subquery
SELECT*FROM(SELECT id,name FROM users WHERE active=1)AS active_users
Subquery indented, main SELECT and subquery SELECT visible.
Nested query structure clear. Alias (AS) on separate line.
INSERT with multiple values
INSERT INTO users(name,email)VALUES('Alice','alice@example.com'),('Bob','bob@example.com')
INSERT INTO users (name, email)\nVALUES\n ('Alice', 'alice@example.com'),\n ('Bob', 'bob@example.com')
Column names aligned, values on separate lines for clarity.
Complex query
Minified query with JOINs, WHERE, GROUP BY, HAVING, ORDER BY
All clauses on separate lines, proper indentation, keywords uppercase.
Long query becomes scannable. Logic clear from structure.
Typically 1MB+ supported. Large queries may take longer to format. No hard limit for most tools.
Batch processing
Multiple queries separated by semicolons. All formatted in one pass. Consistent style applied.
Output options
Copy to clipboard, download as .sql file, syntax highlighting (HTML output), plain text.
Common mistakes to avoid
Formatting breaks working SQL
Why it happens: Rare but possible: formatter bug, dialect mismatch, unsupported syntax. Example: PostgreSQL :: casting formatted incorrectly, query no longer runs.
How to avoid it: Always test formatted SQL before committing. Keep original query as backup. Use formatter that supports your SQL dialect correctly. Validate syntax after formatting.
Over-relying on auto-format
Why it happens: Formatter fixes style, not logic. Query can be beautifully formatted but still wrong: incorrect JOIN, missing WHERE clause, bad subquery. Formatting makes code readable but doesn't ensure correctness.
How to avoid it: Review logic after formatting. Use formatted query as aid to spot errors visually. Test query results. Don't assume formatted = correct. Formatter is style tool, not validator.
Mixing dialects
Why it happens: Using MySQL formatter on PostgreSQL query (or vice versa). Result: dialect-specific syntax misinterpreted. Example: PostgreSQL RETURNING clause, MySQL LIMIT syntax. Wrong formatter = incorrect output.
How to avoid it: Select correct SQL dialect in formatter settings. Or use generic/standard SQL mode. Test formatted query in target database. Learn dialect differences (PostgreSQL vs MySQL syntax).
Losing comments
Why it happens: Some formatters strip comments during processing. Inline documentation lost: -- this is important, /* TODO: optimize */. Team loses context.
How to avoid it: Use formatter that preserves comments. Check output: verify comments present and positioned correctly. Or add comments after formatting. Document important logic outside SQL if comments not preserved.
Not configuring team style
Why it happens: Each team member uses different formatter settings: 2-space vs 4-space, uppercase vs lowercase. Result: inconsistent code style, merge conflicts, wasted reviews on style not logic.
How to avoid it: Agree on team SQL style guide: indentation, keyword case, line breaks. Configure formatter to match. Use pre-commit hook to auto-format. Store config in repo (.editorconfig, .sqlfluff, etc.).
Frequently asked questions
Does formatting change query logic or results?
NO. Formatting only changes whitespace, indentation, keyword case, and line breaks. Query logic, results, and performance are identical. SELECT * FROM users executes same as SELECT\n *\nFROM\n users. Formatting is purely cosmetic for readability.
Which SQL dialect should I use?
Match your database: MySQL, PostgreSQL, SQL Server, Oracle. Dialect affects: keywords (LIMIT vs TOP), functions (CONCAT vs ||), quotes (backticks vs brackets). Wrong dialect may misformat dialect-specific syntax. Use Generic if unsure or for standard SQL.
Can I format multiple queries at once?
YES. Most formatters support batch formatting. Separate queries with semicolons (;). Tool formats each query consistently. Example: SELECT...; INSERT...; UPDATE...; all get formatted. Useful for: migration scripts, seed data, batch operations.
Will formatted SQL be slower?
NO. Database ignores whitespace and keyword case. 'select * from users' runs same speed as formatted version. Query optimizer sees identical execution plan. Formatting adds zero performance overhead. Only affects: readability, file size (slightly larger with whitespace).
How to enforce SQL formatting in team?
Options: 1) Pre-commit hook runs formatter (git hook, SQLFluff, pgFormatter). 2) CI/CD check fails if SQL not formatted. 3) Editor plugin auto-formats on save (VS Code, IntelliJ). 4) Code review requires formatted SQL. Document style guide in team wiki.
Can formatter fix syntax errors?
NO. Formatters beautify valid SQL but don't fix errors. Syntax error stays error after formatting. Some formatters validate and report errors but won't auto-fix. You must: fix syntax errors manually, then re-format. Exception: some linters (SQLFluff) can fix simple issues (trailing commas, deprecated syntax).
What about stored procedures and functions?
Most formatters support: CREATE PROCEDURE, CREATE FUNCTION, triggers, views. Nested code (procedural logic, IF/THEN, loops) gets indented. Some formatters have limitations with: dialect-specific procedural syntax (PL/pgSQL, T-SQL). Test with your database's procedural language.