Beautify complex SQL queries across PostgreSQL, MySQL, and standard ANSI dialects.
Complex relational database queries frequently suffer from unformatted whitespace, inconsistent keyword casing, and tangled nested subqueries that impair code reviews and database tuning. The SQL Formatter & Beautifier processes structured SQL statements locally, normalizing keyword capitalization, aligning major clauses (SELECT, FROM, WHERE, GROUP BY, ORDER BY, JOIN), and offering configurable indentation styles (2 spaces, 4 spaces, or tabs).
A database administrator reviews a raw, minified production query: select u.id,u.email,count(o.id) as total_orders,sum(o.total_amount) as gross_revenue from users u left join orders o on u.id=o.user_id where u.created_at>='2026-01-01' and o.status='completed' group by u.id,u.email having count(o.id)>3 order by gross_revenue desc limit 50;. Pasting the query and selecting 4-Space Indentation reorganizes the continuous 248-character string into a clean 14-line formatted structure with capitalized SQL reserved words, aligned JOIN predicates, and isolated conditional filters. The administrator can also switch to Minify SQL, which strips all block comments (/* ... */), line comments (-- ...), and redundant whitespace, compressing the query for embedded application strings.
The module includes sample templates for SELECT, INSERT, and multi-table JOIN queries, running lexical parsing in browser memory without connecting to remote database instances.
SQL Beautify: Lexical Tokenization [Keywords, Literals, Identifiers] ➔ Clause Stack Alignment ➔ Indented Statement Tree
Applies deterministic tokenization rules to isolate SQL dialect reserved words, aligning top-level clauses and indenting nested subquery expressions.