SQL Formatter

Format and beautify SQL queries. Supports MySQL, PostgreSQL, SQLite, T-SQL, and BigQuery with configurable indent and keyword case.

🔧

SQL Formatter is coming soon. In the meantime, try the JSON → CSV converter, which has flattening built in.

How it works

Dialect-aware token parsing

The formatter parses the SQL token stream for the selected dialect, recognising vendor-specific keywords (like MySQL's REPLACE INTO or T-SQL's square bracket identifiers). This produces more accurate formatting than a generic regex-based approach.

Configurable output

Control indent width (2 or 4 spaces), keyword case (UPPERCASE or preserve), and indent style (standard or tabular). Multiple statements separated by semicolons are all formatted in one pass.

Example

Formatting a minified analytics query before adding to documentation

Input

select u.id,u.email,count(o.id) as orders from users u left join orders o on o.user_id=u.id where u.status='active' group by u.id,u.email order by orders desc limit 25

Output

SELECT
  u.id,
  u.email,
  COUNT(o.id) AS orders
FROM
  users u
  LEFT JOIN orders o ON o.user_id = u.id
WHERE
  u.status = 'active'
GROUP BY
  u.id,
  u.email
ORDER BY
  orders DESC
LIMIT
  25

Keywords are uppercased, each clause starts on a new line, and SELECT columns are individually indented.

Frequently asked questions

Will formatting change my query's behavior?

No. The formatter only changes whitespace and keyword case. SQL is whitespace-insensitive — the query engine sees identical tokens before and after formatting.

Which dialects are supported?

Generic SQL, MySQL, PostgreSQL, SQLite, T-SQL (SQL Server / Azure SQL), and BigQuery. Choose the dialect that matches your database for the most accurate keyword recognition.

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All conversions run in your browser — nothing is uploaded.

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