SQL Formatter & Beautifier
Prettify or minify SQL with dialect-aware formatting — entirely in your browser. Your queries never leave the page.
- Runs in your browser
- No upload, no tracking
- Free forever
How it works
A SQL formatter takes a raw or minified query and rewrites it with consistent indentation, line breaks and uppercased keywords so it is easy to read, review and debug — without changing what the query does. This tool is dialect-aware, parsing PostgreSQL, MySQL, SQLite, T-SQL and BigQuery correctly, and runs entirely in your browser so query text never leaves your machine. It is built by JusDB, a managed database operations team, for the day-to-day SQL work of reviewing migrations, tuning slow queries and reading production logs.
- 1
Paste your SQL
Drop any query — a single SELECT or a multi-statement script — into the input panel.
- 2
Pick your dialect
Choose Standard SQL, PostgreSQL, MySQL, SQLite, T-SQL or BigQuery so keywords and syntax are handled correctly.
- 3
Format or minify
Format re-indents and uppercases keywords for readability; Minify collapses the query to a single line for embedding in code or config.
- 4
Copy or download
Copy the result to your clipboard or download it as a .sql file. Nothing is ever uploaded.
Frequently asked questions
- Which SQL dialects are supported?
- Standard SQL, MySQL, PostgreSQL, SQLite, T-SQL (SQL Server) and BigQuery. Pick the dialect that matches your database so keywords and syntax are handled correctly.
- Is my SQL sent to a server?
- No. Formatting runs entirely in your browser using the sql-formatter library. Your queries — including any schema or data they reference — never leave your machine.
- What does minify do?
- Minify collapses your formatted query into a single line by removing extra whitespace, which is handy for embedding SQL in a string or config value.
- Why are my keywords uppercased?
- The formatter uppercases SQL keywords (SELECT, FROM, WHERE, JOIN, etc.) for readability, a common convention that makes queries easier to scan.
- Will formatting change what my query does?
- No. Formatting only adjusts whitespace, line breaks and keyword casing — the SQL statements, identifiers and string literals are preserved exactly, so the query runs identically.
- Can I download the formatted SQL?
- Yes. Once a query is formatted you can copy it to the clipboard or download it as a .sql file directly from the output panel.
Why consistent SQL formatting matters
Most SQL is read far more often than it is written. A query lands in a pull request, gets re-read during an incident, then resurfaces months later when someone tunes it. Consistent formatting turns each of those moments from a parsing exercise into a quick scan, and it makes version-control diffs reflect real logic changes instead of whitespace noise.
Cleaner code review and diffs
When every contributor formats SQL the same way, a diff shows only what actually changed — a new JOIN, an added predicate, a renamed column — rather than reindented blocks. Reviewers can reason about a query's intent instead of hunting for the one altered line buried in a reflow.
Running unformatted and formatted SQL through the same beautifier before committing also normalises queries that arrived from different editors, ORMs or log dumps, so your repository stays internally consistent.
Dialect-aware parsing
SQL is not one language. PostgreSQL uses $1 placeholders, dollar-quoted function bodies and :: casts; MySQL uses backtick identifiers and its own date functions; SQL Server (T-SQL) uses square-bracket identifiers and TOP instead of LIMIT; BigQuery adds backticked, dotted table paths and array syntax. A formatter that ignores these would break quoting or mangle dialect-specific keywords, so selecting the right dialect matters as much for PostgreSQL as it does for MySQL.
Readability conventions worth standardising
Uppercasing keywords lets the eye separate structure (SELECT, FROM, WHERE) from your identifiers at a glance. Putting each JOIN and each WHERE condition on its own line, and laying common table expressions out as discrete WITH blocks, exposes the shape of a query so nested logic and join order become obvious.
These conventions pay off most on the long analytical queries where a single statement can span dozens of lines and several CTEs.
Format before you EXPLAIN
Before reaching for the planner, format the statement so you can map each node of an EXPLAIN plan back to the exact clause that produced it. A readable query makes it far easier to spot the missing index, the accidental cross join or the predicate that isn't sargable — the groundwork for the kind of tuning covered in our PostgreSQL performance tuning playbook.
Formatting here runs entirely in your browser — the query text, including any schema names, literals or production parameters it contains, is never transmitted to a server. That makes it safe to beautify sensitive production SQL without it leaving your machine.