SQL Formatter & Beautifier

SQL Formatter & Beautifier

Free SQL formatter and beautifier online. Paste your SQL, pick your dialect and style, and get clean readable SQL instantly — 100% client-side, no data sent.

Atualizado em May 2026

Indentation
Keywords
Comma
Mode
Raw SQL Input
Formatted SQL Output
Formatted output will appear here
Processed locally — your SQL never leaves your browser

SQL Formatter & Beautifier — Format SQL Online Free

Paste your SQL query — minified, messy, or a one-liner — and get clean, properly indented, readable SQL in milliseconds. Choose your indentation style, keyword casing, and comma placement. Supports MySQL, PostgreSQL, SQL Server, SQLite, Oracle, and standard ANSI SQL. 100% client-side: your queries never leave your browser.

Whether you're debugging a complex JOIN chain, standardizing SQL across your team, or cleaning up auto-generated queries from an ORM, this free SQL formatter gives you instant, consistent output with no install and no sign-up required.

How to Use the SQL Formatter

  1. Paste your SQL — drop any raw, minified, or messy query into the input panel
  2. Set your style options — choose indentation size (2 spaces, 4 spaces, or tab), keyword casing (UPPERCASE, lowercase, or Title Case), and comma style (trailing or leading)
  3. Click Format SQL — or use Ctrl+Shift+F — and your clean SQL appears instantly in the output panel
  4. Copy or download — copy to clipboard with one click, or download the result as a .sql file

Switch to Minify mode to compress your SQL into a single line — useful for embedding queries in application code or config files.

What SQL Formatting Does (and Doesn't Do)

Formatting changes how SQL looks but not how it runs. The database engine ignores whitespace, line breaks, and keyword capitalization entirely — a beautifully formatted query and its minified equivalent produce identical results. What formatting does is make SQL dramatically easier for humans to read, review, and debug.

A formatted query exposes the logical structure at a glance: each major clause (SELECT, FROM, WHERE, GROUP BY, ORDER BY) starts on its own line, column lists are indented one level, join conditions are visually separated, and AND/OR conditions inside WHERE are broken across lines. This matters when you're reviewing a pull request, tracking down a bug, or trying to understand a query written by someone else six months ago.

Common Use Cases

  • Code reviews: readable SQL is reviewable SQL — unformatted queries are nearly impossible to diff meaningfully
  • ORM output cleanup: ORMs like SQLAlchemy, Hibernate, and ActiveRecord often generate one-liner queries; paste them here to make them human-readable before debugging
  • Team style consistency: use the formatter as a shared standard so everyone's SQL follows the same indentation and casing convention
  • Legacy query analysis: inherited a 300-line stored procedure with no formatting? Paste and format to understand it in minutes instead of hours
  • SQL embedded in config files: minify formatted queries back to single lines for embedding in YAML, JSON, or .env files
  • Documentation: clean, well-formatted SQL examples are far easier to include in documentation and tutorials

SQL Formatting Best Practices

  1. Uppercase SQL keywordsSELECT, FROM, WHERE, JOIN, GROUP BY stand out visually from table and column names
  2. One column per line — in SELECT lists with many columns, each column on its own indented line eliminates horizontal scrolling
  3. Indent subqueries — nested queries should be indented one level inside their parentheses
  4. JOIN conditions on separate lines — each ON clause on its own line, indented under the JOIN
  5. Line break before major clausesWHERE, GROUP BY, HAVING, ORDER BY each on their own line
  6. Use table aliasesu for users, o for orders — but keep them short and meaningful
  7. CTEs over nested subqueriesWITH cte AS (...) is far more readable than deeply nested SELECTs
  8. Keep lines under 120 characters — long lines force horizontal scrolling in code reviews and editors

Frequently Asked Questions

What is the difference between a SQL formatter and a SQL beautifier?

They are exactly the same thing. "SQL formatter," "SQL beautifier," and "SQL pretty printer" are all names for tools that restructure SQL code for readability by adding consistent indentation, line breaks, and keyword capitalization. The different terms reflect different communities' naming conventions — the underlying operation is identical.

Does formatting SQL change how it executes?

No. Formatting only affects the visual structure of the SQL. Database engines ignore whitespace, line breaks, and keyword case entirely — a formatted query and a minified one-liner produce exactly the same result set when executed. The only thing formatting changes is how easy the SQL is for humans to read and maintain.

Is my SQL query sent to any server?

No. All formatting runs entirely in your browser using JavaScript. Your SQL code — including table names, column names, query logic, and any literal values — is never transmitted to any server or stored anywhere. This makes it safe to use even with production queries that contain sensitive table structures.

What SQL dialects are supported?

The formatter supports Standard SQL (ANSI), MySQL, PostgreSQL, SQL Server (T-SQL), Oracle (PL/SQL), SQLite, and IBM DB2. Keyword handling covers dialect-specific reserved words and syntax patterns for each.

Can I format SQL with CTEs, window functions, or stored procedures?

Yes. The formatter handles complex SQL including CTEs (WITH clauses), window functions (OVER, PARTITION BY, ROWS BETWEEN), CASE expressions, correlated subqueries, and multi-join queries — indenting each nesting level correctly.

What is the best SQL keyword casing convention?

The most widely adopted convention is UPPERCASE for reserved keywords (SELECT, FROM, WHERE, JOIN) and lowercase for identifiers (table names, column names). This visual contrast makes queries significantly easier to scan, and it's the default in most SQL style guides including those from Google, GitLab, and the PostgreSQL community.

When should I use leading (before) vs. trailing (after) commas?

Trailing commas are the default and most familiar style: column1, column2, column3. Leading (before) commas place the comma at the start of each new line: , column2. The leading style makes it easier to comment out a single column without editing the line above it, which is why some teams prefer it for large SELECT lists. Both are valid — the important thing is consistency.

Can I minify SQL to a single line?

Yes — switch to Minify mode. This strips all formatting whitespace and compresses your SQL to a single line, which is useful for embedding queries in application code, JSON configs, or anywhere you need the query as a compact string. The minified output is functionally identical to the formatted version.

Resources

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