Browser-onlyNo uploadsAlways free
About Us·Contact

100+ tools · No signup · Always free

Smart SQL Formatter

Format, beautify, analyze, and optimize SQL queries with syntax highlighting, query insights, and multi-database support.

SQL BeautifierSQL MinifierQuery AnalyzerSyntax HighlightingMulti-Database Support

How to use

1

Pick a dialect & style

Choose your database (MySQL, PostgreSQL, SQL Server, SQLite, Oracle or MariaDB) and a formatting style — Standard, Compact, Expanded, or Minified.

2

Paste or load SQL

Paste your messy query into the left editor, or click any sample chip — Simple SELECT, JOIN Query, Aggregation, Window Function, Subquery, CTE.

3

Tune the output

Adjust keyword case (UPPER/lower/preserve), indent width (2–8 spaces), and comma placement (trailing or leading). The output updates instantly.

4

Analyze, copy, download

Review the Query Analyzer (tables, JOINs, subqueries), the Health Score with actionable suggestions, and the plain-English explainer. Copy or download the .sql file.

When to use SQL formatting

Code reviews

Reviewing a 200-line query is brutal when it's a single line. Formatting transforms it into structured, scannable code that reviewers can actually read.

Debugging queries

When a query returns wrong results or runs slow, a well-formatted version makes it dramatically faster to spot bad joins, missing conditions, or misplaced operators.

Version control

Expanded mode (one column per line) produces tiny, surgical diffs in git when you add or modify a single column — instead of a single huge changed line.

Team consistency

A shared formatter eliminates SQL style debates. Whether your team prefers leading or trailing commas, the formatter enforces it across every developer's queries.

Embedding in code

Minified queries fit cleanly into application strings, configuration files, and API payloads. Use minification when shipping queries inside source code.

Learning SQL

The Plain-English Explainer translates real queries into descriptive sentences — perfect for learning SQL by reverse-engineering production queries.

How it works

SQL tokenizer

A pure-JS tokenizer splits your query into typed tokens — keywords, functions, strings, numbers, comments, operators — so formatting decisions never touch the inside of string literals or comments.

Structural formatter

The formatter walks tokens and emits line breaks based on SQL structure: top-level clauses on new lines, JOIN ON clauses indented under their JOIN, AND/OR vertically aligned, subqueries indented.

Query analyzer

After parsing, the analyzer counts JOINs, WHERE clauses, GROUP BY / ORDER BY, subqueries, and aggregation functions, then extracts the list of tables referenced by each FROM and JOIN.

Rule-based scorer

The Health Score applies eight rules (SELECT * use, missing LIMIT, leading-wildcard LIKE, implicit joins, deep subqueries…) and surfaces specific, actionable suggestions for each issue.

Related tools

JSON Formatter

Beautify, validate, and minify JSON with syntax highlighting and error pointers.

Regex Tester

Test and debug regular expressions with live highlight, match list and flag controls.

Base64 Encoder

Encode and decode text or files to/from Base64 strings.

URL Encoder/Decoder

Percent-encode and decode URL strings for use in links and API calls.

Frequently asked questions

Quick answers about this free online tool.

SQL formatting is the process of restructuring a SQL query — adding line breaks, indentation, and consistent keyword casing — to make it readable and easier to maintain. The query's behaviour is unchanged: a database engine treats a single-line minified query identically to a beautifully indented one. Formatting matters for humans, not the parser.

Minification strips all unnecessary whitespace, comments, and line breaks to produce the shortest possible single-line version of a query. It's useful for embedding queries in source code, URL parameters, log files, or API payloads where shorter is better. The query stays semantically identical to the original.

Three reasons: (1) Readability — well-indented SQL communicates intent at a glance, especially complex JOINs and subqueries. (2) Maintainability — formatted queries make code reviews, debugging, and edits dramatically faster. (3) Team consistency — a shared formatter eliminates style debates and produces uniform queries across the codebase.

No — formatting is purely cosmetic. The database parser ignores whitespace, so a formatted query and a minified query produce identical execution plans and run at identical speed. What does affect performance is query structure (joins, indexes, subqueries) — and that's where the Health Score panel in this tool helps.

The formatter handles standard SQL syntax used by MySQL, PostgreSQL, SQL Server, SQLite, Oracle, and MariaDB. The dialect selector tunes keyword recognition, but the core formatting logic — line breaks for top-level clauses (SELECT, FROM, WHERE, JOIN, GROUP BY, ORDER BY), comma placement, and indentation — is consistent across all dialects.

Best practices: (1) Put each top-level clause on its own line (SELECT, FROM, WHERE…). (2) Indent JOIN ... ON conditions one level deeper than the JOIN. (3) Place AND/OR at the start of continuation lines, not the end. (4) Use UPPERCASE for keywords so they stand out from identifiers. (5) Specify columns explicitly instead of SELECT * — it documents intent and protects against schema changes. This tool applies all of these automatically.

The score (out of 100) flags common SQL anti-patterns: SELECT * usage, missing LIMIT clauses, leading-wildcard LIKE patterns (which prevent index use), implicit comma-joins, excessive nested subqueries (which often read better as CTEs), and SELECT statements with no WHERE clause. Each issue lowers the score and surfaces a specific suggestion you can act on.

Standard puts each top-level clause on its own line with columns inline — the default and most widely-used style. Compact uses minimal line breaks for dense single-screen viewing. Expanded puts every column, condition, and ORDER BY item on its own line — best for very complex queries or when you want maximum diff-friendliness in version control. Minified strips everything for a single-line output.