Format and beautify SQL queries with custom indentation and keyword casing, or minify them for production, all processed locally in your browser.
Dense single-line queries hide JOIN graphs, filter predicates, and nested subqueries. Formatting puts SELECT, FROM, JOIN, WHERE, GROUP BY, and ORDER BY on consistent lines with predictable indentation so reviews and debugging stay readable.
MySQL, PostgreSQL, SQLite, SQL Server (T-SQL), and Oracle PL/SQL each have distinct quoting, comments, and extensions. This workspace formats with the sql-formatter parser for the dialect you select — identifier quoting, dollar-quoted strings, TOP, RETURNING, and similar constructs are handled only when that dialect actually supports them.
Parse errors here come from the formatting engine for the selected dialect (unexpected tokens, line, and column). That is not the same as running the statement on a real database. A query can format cleanly and still fail at runtime, and some vendor-specific syntax may not parse even when a server would accept it.
Uppercase keywords are a common team convention; preserve or lowercase if your codebase already has a style. Scripts with multiple statements are split on semicolons (and T-SQL GO batches) so each statement is formatted independently with a blank line between them.
Beautify restores line breaks and indentation for humans. Minify collapses whitespace (and optionally comments) into a compact script while keeping string literals and quoted identifiers intact — useful for embeddings, migrations, or storage, not for reading.
Formatting, minification, search, and file import run in your browser. Queries never leave this page. Companion tools include the <a href="/json-formatter" class="text-brandBlue-400 hover:underline font-semibold">JSON Formatter</a>, <a href="/xml-formatter" class="text-brandBlue-400 hover:underline font-semibold">XML Formatter</a>, and <a href="/csv-to-json" class="text-brandBlue-400 hover:underline font-semibold">CSV to JSON Converter</a>.
Quick answers about how this tool works.
Plain-language explainers that sit next to this tool.
Regex, JSON, and SQL all share one property that makes them hard to debug: dense syntax that becomes unreadable the moment it is minified, nested, or one character off. Here is why formatter tools outperform print-statement debugging.
A single-line SQL query with nested joins is nearly impossible to review. Learn how SQL formatting rules work and how a formatter turns dense queries into readable, maintainable code.
Input tokens, output tokens, cached tokens and cache writes — what each one costs on GPT-6 Astra, what actually counts toward your input bill, and three worked examples showing where the money really goes.
Minification, uglification, and bundling get lumped together as "build steps," but each does something distinct. Here is exactly what each one changes in your code, with a before/after size example.
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