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  1. Home
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  3. SQL Formatter
Developer

SQL Formatter

Format, beautify, and minify SQL queries for MySQL, PostgreSQL, SQLite, and MSSQL. Choose your keyword case and get clean, readable SQL instantly in your browser.

Try:

How To Use

  1. 1.Paste or type your raw SQL query into the input box — the tool formats it live as you type, with no button to click.
  2. 2.Pick the dialect that matches your database — MySQL, PostgreSQL, SQLite, or MSSQL (T-SQL) — since each has slightly different keyword sets and syntax quirks the formatter accounts for.
  3. 3.Choose a keyword case — UPPERCASE, lowercase, or Preserve — to control how reserved words like SELECT, FROM, and WHERE are capitalized in the output.
  4. 4.Toggle Minify to collapse the formatted query into a single compact line with comments stripped, useful for embedding SQL in application code or reducing log size.
  5. 5.Load one of the Try examples to see a multi-table JOIN, a subquery, and an INSERT statement formatted correctly.
  6. 6.Copy the formatted result, download it as a .sql file, or share a link to this tool once you're done.

Examples

Multi-table JOIN
A realistic JOIN with a WHERE filter and ORDER BY, showing how clause keywords are broken onto their own lines.
Subquery
A WHERE clause containing a nested subquery, demonstrating how inner statements get their own indentation level.
INSERT statement
A multi-row INSERT, showing how value tuples are aligned and separated for readability.
CREATE TABLE
A table definition with a primary key and a foreign key constraint, formatted with one column per line.

About SQL Formatter

Why Format SQL Queries?

SQL queries written on a single line, or generated by an ORM and copied out of application logs, are efficient to store and transmit but genuinely hard for a human to read and debug — clauses, joins, and conditions all run together with no visual separation. Formatting breaks a query into its logical clauses (SELECT, FROM, WHERE, GROUP BY, ORDER BY, and so on), each starting on its own line with consistent indentation, so the overall shape and intent of the query becomes obvious at a glance instead of requiring careful character-by-character reading.

This matters most when debugging a slow or incorrect query, reviewing a teammate's pull request that touches a migration file, or working through a query that involves several joins and a nested subquery — exactly the situations where a formatting mistake (a misplaced parenthesis, a JOIN condition on the wrong table) is easiest to catch visually once the structure is laid out clearly, and easiest to miss when everything is packed onto one dense line.

SQL Dialects: What Actually Differs

Standard SQL (technically ANSI SQL) defines a common core — SELECT, INSERT, UPDATE, DELETE, JOIN types, and basic data types — that every major relational database implements. Where dialects diverge is in identifier quoting (MySQL uses backticks, MSSQL uses square brackets, PostgreSQL and SQLite use double quotes), pagination syntax (MySQL and PostgreSQL use LIMIT/OFFSET, MSSQL traditionally uses TOP or OFFSET/FETCH), and a long list of dialect-specific functions and extensions (PostgreSQL's array and JSON operators, MySQL's GROUP_CONCAT, MSSQL's procedural T-SQL additions).

SQLite is notable for being intentionally permissive — it implements a large subset of standard SQL but is more relaxed about type enforcement (its 'type affinity' system is famously loose compared to strict typed columns in the other three) and omits some features like full RIGHT JOIN support in older versions. Picking the right dialect when formatting matters less for simple queries, which tend to look identical across all four, and more for queries that lean on dialect-specific functions or identifier quoting conventions.

SQL Formatting Style Conventions

There's no single official style guide for SQL the way there increasingly is for languages like JavaScript (Prettier) or Python (Black), but a few conventions are widely followed in practice. Keywords are almost always written in a single consistent case throughout a codebase — commonly UPPERCASE, to visually distinguish reserved words like SELECT and JOIN from identifiers like customer_id at a glance — while lowercase keywords have become more common in newer codebases influenced by application-code style conventions that favor consistent casing across a whole project.

Each major clause (SELECT, FROM, WHERE, GROUP BY, ORDER BY) typically starts a new line at the base indentation level, with items inside a clause — like selected columns, or AND/OR conditions in a WHERE clause — indented one level further and often one per line once there are more than two or three of them. Joins are usually written with the join type and ON condition together, often on their own line per join, so a query with several joins reads as a clear, scannable list rather than a dense paragraph. Consistency matters more than which specific convention a team picks — the goal is that every query in a codebase looks similar enough that a reader's eyes don't have to re-adjust to a new style every time they open a different file.

Common SQL Formatting Mistakes

Inconsistent keyword casing — mixing SELECT with from and Where in the same query — is the most visually jarring and easiest to fix mistake, usually a side effect of a query being assembled piecemeal from copy-pasted fragments written by different people or generated by different tools. Over-indenting deeply nested subqueries without a clear visual anchor for where each subquery starts and ends is another common issue; a subquery should be clearly bracketed by its parentheses with a consistent indent step, not indented an arbitrary or inconsistent amount deeper than its parent.

Cramming a long list of columns or a long chain of AND conditions onto a single line is a frequent readability problem too — once a SELECT list or WHERE clause has more than two or three items, putting each one on its own line makes it far easier to spot a missing comma, a duplicated column, or an incorrect condition than scanning a single 200-character line. Finally, leaving in commented-out old versions of a query, or debug-only conditions, without clear delineation can confuse anyone reading the query later about which parts are actually active — if you need to keep old logic for reference, a clear comment explaining why is more useful than a silently commented-out fragment.

FAQs

No. All formatting happens entirely inside your browser using a JavaScript SQL tokenizer and formatter — there is no server-side component involved in processing your query at any point. This means you can safely paste queries that reference real table names, internal schema details, or proprietary business logic without any of it leaving your device or being logged anywhere. You can confirm this yourself by opening your browser's developer tools and watching the network tab while you use the tool — you won't see any outgoing requests carrying your query text. Even if your internet connection drops after the page has finished loading, the formatter continues working exactly the same, since it has no dependency on a live server connection to function.

Different database systems extend standard SQL with their own keywords, functions, and syntax — MySQL has backtick-quoted identifiers and LIMIT/OFFSET shorthand, PostgreSQL has ILIKE, array literals, and its own set of window function extensions, SQLite has a smaller, more permissive keyword set, and MSSQL (T-SQL) has TOP, square-bracket identifiers, and procedural extensions like DECLARE and stored procedure syntax. Selecting the correct dialect helps the formatter recognize dialect-specific keywords and functions so they're capitalized and spaced consistently with the rest of the query, rather than being treated as generic, unrecognized identifiers. If you're not sure which dialect to pick, MySQL and PostgreSQL cover the two most common cases and are both good general-purpose defaults for standard ANSI SQL.

Formatting only changes whitespace and capitalization — line breaks, indentation, and spacing around keywords, commas, and parentheses — plus optionally the letter case of reserved keywords if you've selected UPPERCASE or lowercase. It never changes table names, column names, string literal values, numeric literals, operators, or the logical structure of the query itself. A formatted query is guaranteed to be functionally identical to the original; running either version against your database produces exactly the same result, since nothing about what the query actually does has changed, only how it looks when a human reads it.

Yes. Switch on the Minify toggle above the input, and the tool collapses your formatted query into a single compact line, strips out `--` line comments and `/* */` block comments, and reduces all whitespace between tokens to single spaces. This is useful when you need to embed a query as a one-line string in application code, paste it into a log line, or reduce the size of a query stored in a config file or environment variable. Because comments are removed, only use Minify on queries where the comments were purely documentation for humans — if a comment contains a database-specific optimizer hint (a rare but real pattern in some systems), stripping it could change query performance, so double-check before minifying hint-bearing production queries.

Check the keyword case setting above the input — UPPERCASE capitalizes every recognized SQL keyword (SELECT, FROM, WHERE, JOIN, and so on), lowercase does the opposite, and Preserve leaves each keyword exactly as you originally typed it, mixing cases if your original query did. If a word you expect to be capitalized as a keyword isn't changing, it's possible the formatter doesn't recognize it as a reserved word in the dialect you've selected — this can happen with dialect-specific functions or newer syntax additions. Try switching to a different, more closely matching dialect, or treat that specific word as an identifier (like a column alias) rather than a keyword if that's what it actually is in your query.

No — this is a formatter, not a query validator or a database engine. It tokenizes your SQL well enough to reformat its structure and reports an error if the tokenizer encounters something it fundamentally can't parse (like an unterminated string literal), but it does not check that your table and column names exist, that your JOIN conditions are logically sound, that your data types match, or that the query would actually execute successfully against a real database. A query can be perfectly well-formatted by this tool and still fail when run, if it references a column that doesn't exist or has a logic error. For genuine query validation, you need to run an EXPLAIN or a dry run against your actual database schema.

Yes. Paste multiple semicolon-separated statements — for example, a CREATE TABLE followed by several INSERT statements — and the formatter processes and indents each one, inserting blank lines between statements so they stay visually distinct in the output. This is useful for cleaning up a full migration script or a batch of seed-data inserts exported from a database tool, without needing to format each statement separately.

The formatter handles standard SQL statements — SELECT, INSERT, UPDATE, DELETE, CREATE TABLE, and similar — reliably across all four supported dialects. Procedural extensions like PL/pgSQL function bodies, T-SQL stored procedures with control-flow blocks (IF, WHILE, BEGIN/END), and trigger definitions contain syntax that goes well beyond standard SQL and may not format as cleanly, since these procedural languages have their own grammar layered on top of SQL. For straightforward procedural blocks, the formatter will usually still improve readability, but complex nested control structures may need manual touch-ups afterward.

There's no single official standard for SQL formatting style — every formatter, whether it's this tool, a database IDE's built-in formatter, or a linter like sqlfluff, makes its own decisions about exactly where to break lines, how deeply to indent subqueries, and whether commas go at the start or end of a line. These are stylistic choices, not correctness issues, and different tools reasonably disagree on them the same way different code formatters (Prettier vs. a hand-rolled style guide) disagree on JavaScript formatting. What matters is that the formatted query remains functionally identical to the original and that your team picks one consistent style to standardize on, whichever tool produces it.

Yes — the formatter's tokenizer specifically recognizes quoted string literals (both single-quoted strings and dialect-specific quoted identifiers like MySQL backticks or MSSQL square brackets) as atomic units and never reformats, re-splits, or alters their internal contents, including whitespace, punctuation, or escaped quote characters within the string. Only the whitespace and casing surrounding these literals — outside the quotes — is subject to formatting. This means a string literal containing SQL keywords, extra spaces, or unusual characters comes through the formatter completely unchanged, exactly as it was typed.

Related Tools

SQL Formatter cleans up and beautifies query text. These related developer tools cover other structured-data and text-processing tasks that often come up in the same workflow.

JSON Formatter & Validator
DeveloperFormat and validate JSON — useful for inspecting a query result set exported as JSON.
XML Formatter
DeveloperFormat and validate XML — handy for database systems that export schemas or results as XML.
Regex Tester
DeveloperTest a pattern for extracting values out of query results or log lines.
Case Converter
TextConvert text case — useful when normalizing table or column naming conventions.