Skip to main content
T
Toolbox
Developer

SQL Formatter & Beautifier

Format, beautify, and minify SQL queries with customizable indentation and keyword casing for PostgreSQL, MySQL, SQLite, and standard SQL.

Quick Answer & Summary

The SQL Formatter & Beautifier is a fast, accurate Developer utility designed to format, beautify, and minify sql queries with customizable indentation and keyword casing for postgresql, mysql, sqlite, and standard sql. entirely in your browser with zero server data storage.

SQL Formatter & Minifier

Format, beautify, indent, and minify queries across PostgreSQL, MySQL, and SQLite.

Indent:
Raw SQL Input
Formatted SQL Output
23 Lines
SELECT
  u.id AS user_id,
  u.name,
  count(o.id) AS total_orders,
  sum(o.amount) AS total_spent,
  coalesce(avg(r.rating), 0) AS avg_rating
FROM
  users u
  LEFT JOIN orders o ON u.id = o.user_id
  AND o.status = 'completed'
  LEFT JOIN reviews r ON u.id = r.user_id
WHERE
  u.is_active = TRUE
  AND u.created_at >= '2025-01-01'
GROUP BY
  u.id,
  u.name
HAVING
  count(o.id) > 5
ORDER BY
  total_spent DESC
LIMIT
  50;

Share This Tool

Help your team and fellow developers save time with free, private client-side utilities.

TB
Toolbox Editorial TeamVerified Authors

Systems & Security Engineers • Applied Cryptography & High-Performance Web Tools

Updated:
100% In-BrowserZero server storage
Standards AuditedRFC & ISO compliant
Peer ReviewedEditorial Policy
Documentation & Guide

How to Use SQL Formatter & Beautifier

1

Paste raw SQL query

Enter or paste messy, unformatted, or single-line SQL queries into the input editor.

2

Customize formatting rules

Choose between 2 spaces, 4 spaces, or tabs for indentation, and toggle UPPERCASE keyword formatting.

3

Beautify or Minify

Click Beautify to expand clauses and indent logic, or click Minify to strip comments and create a clean single-line query.

Pro Tips
Toggle between Beautify and Minify to prepare queries for debugging or database drivers.
Enable UPPERCASE keywords for consistent SQL style guides across team projects.
Download queries directly as .sql files.

Practical Examples & Conversions

Input
select u.id, count(o.id) from users u left join orders o on u.id=o.user_id where u.active=true group by u.id
Output
Properly indented SELECT, FROM, LEFT JOIN, WHERE, and GROUP BY clauses

Frequently Asked Questions (PAA)

Related Tools & Converters

Authoritative Standards & Citations

Calculations and algorithms on this page are implemented and verified in strict accordance with the following official technical specifications: