Format and beautify SQL for PostgreSQL, MySQL, T-SQL, and 7 more dialects.
Format messy or single-line SQL into clean, readable, indented queries. Supports 10 dialects (PostgreSQL, MySQL, SQL Server, Oracle, BigQuery, Snowflake, and more), custom indentation, and keyword casing. Runs entirely in your browser.
Upload your file using the tool above.
Adjust any settings to your preference.
Click the process button and wait for results.
Download your output using the download button.
Each database has syntax the others do not — T-SQL uses square brackets for identifiers, MySQL uses backticks, PostgreSQL has its own casting and array operators, and BigQuery adds struct and array literals. Choosing the right dialect stops the formatter misreading valid syntax as an error and mangling the layout.
No. Only whitespace, line breaks and keyword casing change — the query is semantically identical and returns exactly the same result. It is safe to format anything, including production queries, since nothing about the logic or execution plan is affected.
It is convention rather than requirement, and it genuinely helps: uppercase keywords make the structure of a long query scannable against lowercase table and column names. Teams sometimes prefer all-lowercase for a calmer look. Either is fine — consistency across the codebase matters far more than the choice.
Yes, SQL Formatter is completely free. No signup, no account, and no watermark on outputs. A Pro tier is available for 100 AI ops/day and larger file sizes.
SQL Formatter runs entirely in your browser. Your file is never uploaded — it is read, processed and saved locally, so it never reaches our servers or anyone else's. You can disconnect from the internet after the page loads and it still works.
What it does: Reformats messy or single-line SQL into clean, indented, readable queries — with the right keywords and syntax for your chosen database dialect.
Dialects: Standard SQL plus PostgreSQL, MySQL, MariaDB, SQLite, SQL Server (T-SQL), Oracle (PL/SQL), BigQuery, Snowflake, and Spark, so dialect-specific syntax formats correctly.
Privacy: Runs entirely in your browser — your queries are never uploaded, so it’s safe for schema and production SQL.