SQL Formatter

• 100% Free

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• No Registration Required

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• Privacy First

  We avoid unnecessary collection and keep processing local when possible.

• Browser Processing

  Most tools run in your browser so your input never needs a server round-trip.

• Fast & Secure

  HTTPS everywhere with instant, client-side results for everyday tasks.

• Mobile Friendly

  Layouts and controls are built for phones, tablets, and desktops.

• Updated Regularly

  Tools and content are improved continuously as the platform grows.

Key Features

• Clause-by-Clause Line Breaks

  Detects SELECT, FROM, WHERE, JOIN, GROUP BY, ORDER BY, and other major clauses and starts each one on a fresh line with indentation for related sub-clauses.

• Automatic Keyword Uppercasing

  Recognizes over 30 common SQL keywords like SELECT, JOIN, and HAVING and uppercases them consistently, without touching table or column names.

• String-Literal Aware

  Tracks single- and double-quoted string boundaries so a semicolon, keyword, or comment marker inside a literal value is never mistaken for real SQL syntax.

• Comment-Preserving Minify

  Collapses whitespace into a single compact line while keeping -- and /* */ comments attached, so a minified query still carries its original documentation.

How to Use

1. 1

   Paste your SQL

   Copy a query from your IDE, a slow-query log, a database client, or an ORM-generated statement.

2. 2

   Choose Format or Minify

   Format uppercases keywords and breaks clauses onto new lines; Minify collapses whitespace for a compact single-line query.

3. 3

   Scan the clause structure

   Check that SELECT, FROM, JOIN, and WHERE line up the way you expect, especially in queries with several joins.

4. 4

   Copy or download the result

   Export the result to your clipboard or save it as a .sql file to attach to a ticket or pull request.

Use Cases

• Reviewing queries in pull requests

  Format a one-line generated query from an ORM migration so reviewers can actually read the JOIN and WHERE logic before approving.

• Cleaning up slow-query log entries

  Database logs typically store queries as a single line - format one to quickly identify missing indexes or unnecessary joins.

• Documenting schema changes

  Format CREATE TABLE and migration statements before pasting them into a runbook, changelog, or architecture document.

• Compacting queries for embedding

  Minify a formatted query before embedding it in application code or a config file where a multi-line string is inconvenient.

Examples

select u.id from users u join orders o on o.user_id=u.id

SELECT u.id
FROM users u
  JOIN orders o ON o.user_id=u.id

insert into users (name, email) values ('Ada', 'ada@example.com')

INSERT INTO users (name, email)
  VALUES ('Ada', 'ada@example.com')

Benefits

• ✓Turns single-line generated or logged queries into readable, clause-broken SQL instantly
• ✓Uppercases keywords consistently across an entire query without touching identifiers
• ✓Keeps comments intact through minification so compacted queries stay self-documenting
• ✓Protects string literals from being mistakenly split or altered during formatting
• ✓Runs entirely in your browser, so production queries and schema details stay private

Best Practices

• Format ORM-generated or logged queries before pasting them into a pull request so reviewers can follow the JOIN logic.
• Keep a formatted copy of migration SQL in version control even if your application sends the raw single-line form.
• Double-check multi-join queries after formatting - verify each JOIN condition still references the correct alias.
• Test formatted or minified queries against your actual database, since this tool uses heuristics rather than a dialect-specific parser.

Common Mistakes

• Assuming full parser-level accuracy for every SQL dialect - this tool uses keyword and pattern heuristics, not a real grammar.
• Expecting minify to strip comments - comments are intentionally preserved through minification so context is never lost.
• Formatting a query that mixes multiple statements without semicolons and expecting each one to be separated cleanly.

Privacy Notice

All keyword detection, clause breaking, and minification run locally in your browser. Your queries, including anything referencing real table names, column names, or production schema details, are never uploaded to ToolMint servers.

About This Tool

Frequently Asked Questions

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