SQL Formatter Online Free
Paste any SQL query and format it instantly — keywords uppercased, clauses on their own lines, consistent indentation. Supports MySQL, PostgreSQL, SQLite, T-SQL, BigQuery and more.
⏱ 6 min read · Complete guide below
SQL Formatter
How to Format a SQL Query
- 1Paste your SQL query or script into the input box.
- 2Choose the correct SQL dialect for your database and your preferred indent size.
- 3Click Format SQL. Keywords are capitalised and the query is indented with each clause on its own line.
- 4Click Copy to copy the result to your clipboard.
Why Format SQL?
Unformatted SQL — especially queries generated by ORMs, exported from databases, or written in a hurry — can be a single dense line of text that is nearly impossible to read or debug. A formatted query makes the structure immediately obvious: you can see which columns are being selected, which tables are joined, and which conditions apply at a glance.
Consistent formatting also helps when committing SQL migrations, stored procedures, or view definitions to version control. A formatted SQL file produces clean, meaningful diffs — a WHERE clause change is one line, not a needle in a haystack of whitespace.
What Good SQL Formatting Looks Like
There is no single official SQL style, but well-formatted queries share a few conventions that this tool applies automatically. Keywords are capitalised (SELECT, FROM, WHERE, JOIN) so they stand out from table and column names. Each major clause starts on its own line, giving the query a clear top-to-bottom structure you can scan. Subqueries and joined conditions are indented to show how they nest inside the whole. And consistent indentation and line breaks make the shape of the query — what it selects, from where, filtered how — obvious at a glance. The point is not aesthetics for its own sake: a readable query is faster to understand, easier to debug, and safer to modify.
Choosing the Right SQL Dialect
SQL is a family of closely related languages rather than one strict standard, and the databases differ in small but important ways. They use different characters to quote identifiers — MySQL uses backticks, PostgreSQL and standard SQL use double quotes, and SQL Server (T-SQL) uses square brackets — and each adds its own functions and syntax extensions. Selecting the dialect that matches your database (MySQL, PostgreSQL, SQLite, T-SQL, PL/SQL, BigQuery, or MariaDB) tells the formatter how to treat those quoting rules and keywords so it does not mangle identifiers or misread dialect-specific syntax. When in doubt, pick the engine your query actually runs on rather than generic Standard SQL.
Formatting vs Validating
It is worth being clear about what a formatter does and does not do. This tool improves the visual structure of your SQL — indentation, casing, and line breaks — using a lenient parser, but it does not validate correctness. It will happily format a query that references a table that does not exist or misuses a function, because those are runtime concerns that only the actual database can judge. If the input is so broken that it cannot be parsed at all, the formatter reports an error; otherwise a clean result simply means the query is well-structured, not that it will run. Use the formatter to make SQL readable, and run it against your database to confirm it is correct.
SQL Formatting Tips
Choose the Right Dialect
MySQL uses backtick quoting, PostgreSQL uses double quotes, T-SQL uses square brackets. Selecting the correct dialect ensures identifiers and syntax extensions are handled correctly.
Format Before Committing
Always format SQL migration files and stored procedures before committing to version control. Consistent formatting means git blame and diffs show real logical changes, not whitespace noise.
Paste ORM-Generated SQL
Copy the raw SQL logged by your ORM (e.g., from Django, Rails, or SQLAlchemy debug output) and paste it here to read it. Long parameterised queries become readable in seconds.
Multiple Statements Welcome
Paste an entire SQL script — CREATE TABLE, INSERT, SELECT — all separated by semicolons. The formatter handles each statement individually with a blank line between them.
Frequently Asked Questions
What SQL dialects are supported?
The formatter supports Standard SQL, MySQL, PostgreSQL, SQLite, T-SQL (Microsoft SQL Server), PL/SQL (Oracle), BigQuery, and MariaDB. Select the dialect matching your database from the dropdown — different dialects have slightly different keyword sets, quoting rules, and syntax extensions.
What does the formatter change?
The formatter adds consistent indentation, puts each clause (SELECT, FROM, WHERE, JOIN, ORDER BY, GROUP BY) on its own line, capitalises all SQL keywords (SELECT, FROM, WHERE, etc.), and adds line breaks between multiple queries. It does not validate whether the query will execute correctly — it only improves visual structure.
Does the formatter validate my SQL?
The tool uses a lenient parser — it formats without strict validation. Minor issues like unknown function names or dialect-specific extensions usually format without error. If the formatter cannot parse the input (for example, completely invalid syntax), it will display an error. For strict validation, you need to run the query against an actual database.
Is my SQL sent to a server?
No. The sql-formatter library runs entirely in your browser. Your queries are never transmitted over the network and are never stored anywhere. The tool works correctly offline once the page has loaded.
Why does my query look different from what I expected?
sql-formatter applies opinionated formatting rules: keywords are always uppercased, each clause starts on a new line, and subqueries are indented. These rules are designed for readability and match common SQL style guides. If the output differs from your team's style, you may want to adjust the indent setting or clean up minor differences manually.
Can I format multiple SQL statements at once?
Yes. Paste multiple queries separated by semicolons and the formatter handles each one with a blank line between them. This works for SQL scripts with CREATE TABLE, INSERT, UPDATE, SELECT, and DROP statements mixed together.
What is the difference between a SQL formatter and a SQL validator?
A formatter improves the visual layout of a query — capitalising keywords, breaking clauses onto their own lines, and indenting subqueries — without checking whether the query is correct. A validator checks that the SQL is syntactically valid and, ideally, that the tables and columns it references exist. This tool is a formatter: it makes SQL readable but does not confirm it will run. Only executing the query against a real database truly validates it.
Why does this help when reviewing code changes?
Consistently formatted SQL produces clean version-control diffs. When every query in your migrations, stored procedures, and views follows the same layout, a change to a WHERE clause shows up as a single edited line rather than being buried in reformatted whitespace. This makes code reviews faster and git blame more meaningful, which is why formatting SQL before committing it is a widely recommended habit.
Should I format the SQL my ORM generates?
Formatting ORM-generated SQL is one of the most useful applications of this tool. Frameworks like Django, Rails, and SQLAlchemy often log queries as a single dense line with many parameters, which is very hard to read when debugging performance or unexpected results. Pasting that raw logged SQL here and formatting it makes the structure clear in seconds, so you can see exactly which joins and conditions the ORM produced.
Is my SQL kept private?
Yes. The formatting runs entirely in your browser using a client-side library, so your queries are never uploaded, transmitted, or stored anywhere. This makes it safe to format SQL that contains sensitive table names, schema details, or business logic. As a bonus, because there is no server round-trip, the tool continues to work even if you go offline after the page has loaded.