SQL Formatter: Clean Up Queries Without Leaving the Browser
You pasted a query from logs and it came through as one unreadable line. Or you are reviewing a migration with nested subqueries, mixed keyword casing, and joins stacked together with no visual structure. An SQL formatter fixes the presentation so you can read the query again.
This tool acts as an SQL beautifier for day-to-day developer work. Paste a statement, format it, and copy back a cleaner version with consistent indentation, spacing, and line breaks. If you need to format SQL online without installing an editor plugin or CLI package, this is the fast path.
It runs entirely in the browser, so formatting stays local to your machine. That matters when the SQL includes internal table names, customer-specific schemas, or query fragments copied from production debugging.
If you change the SQL or adjust the dialect, keyword casing, or indentation, the current formatted output clears until you run the formatter again.
Using it
Paste your SQL into the input, run the formatter, review the output, and copy the result. For example, a dense query like select u.id,u.email,o.total from users u join orders o on o.user_id=u.id where o.status='paid' order by o.created_at desc; becomes much easier to scan once each clause gets its own line.
Use it when you want to pretty print SQL before reviewing a query, saving a snippet, or sharing it in chat, docs, or a pull request. It is especially useful for long SELECT lists, multi-table joins, CASE expressions, and CTE-heavy reporting queries.
What formatting helps with
Formatting does not change query semantics, but it does change how quickly you can reason about the statement.
SELECT,FROM,WHERE,GROUP BY, andORDER BYbecome visually distinct blocks- Join conditions stop blending into the main filter logic
- Nested subqueries and CTEs become easier to trace from top to bottom
- Long column lists are easier to diff in git and easier to review in PRs
- Consistent keyword casing makes mixed-source SQL look like it came from one codebase
For example, compare a compressed CTE with a formatted one:
with recent_orders as (select user_id,sum(total) as revenue from orders where created_at >= current_date - interval '30 days' group by user_id) select u.email,r.revenue from users u join recent_orders r on r.user_id = u.id order by r.revenue desc;
Once formatted, the CTE, aggregation, join, and ordering stop fighting for the same line length.
SQL formatter vs SQL validation
An SQL formatter rewrites whitespace and layout. It does not prove the query is correct.
That distinction matters. A formatter cannot tell you whether:
- a table or column actually exists
- your syntax is accepted by the exact database engine you use
- the query is safe to run in production
- the account has permission to execute it
- the execution plan is efficient
- a migration or transaction has side effects you did not intend
SELECT * FROM missing_table; can be perfectly formatted and still fail immediately in Postgres or MySQL. Formatting is about readability, not execution.
Dialect differences matter
Most SQL shares the same broad structure, but a Postgres SQL formatter and a MySQL SQL formatter still have to deal with real differences in quoting, functions, and dialect-specific syntax.
Postgres queries often include constructs like ILIKE, RETURNING, DISTINCT ON, ::uuid, JSON operators such as ->>, and interval expressions like interval '7 days'. MySQL code more often uses backticks, LIMIT 10, 20, INSERT ... ON DUPLICATE KEY UPDATE, and functions such as IFNULL() or DATE_FORMAT().
Formatting helps you read both styles, but it does not translate between them. If you paste MySQL syntax into a Postgres codebase, a formatter can make it prettier, not portable.
When this tool is useful
- Cleaning up SQL copied from app logs, ORMs, or query builders
- Reformatting migration scripts before code review
- Making analytics queries readable before saving them to docs or notebooks
- Normalizing pasted snippets from Slack, tickets, or vendor documentation
- Quickly checking structure before moving the query into your editor or database client
Troubleshooting
Why does the SQL formatter fail on my query? — Most formatters still need input they can tokenize reliably. Broken quotes, incomplete comments, pasted shell prompts, or truncated SQL from logs can prevent formatting.
Does formatting validate that my SQL is correct? — No. It improves readability only. It does not validate schema names, execution plans, permissions, transaction safety, or runtime behavior.
Will this work as a Postgres SQL formatter and MySQL SQL formatter? — It can format many common statements from both dialects, but formatting support is not the same thing as full engine-level parsing or compatibility.
Why did keyword casing change? — SQL beautifiers often normalize keywords like select, from, and join for consistency. That is a presentation change, not a semantic one.
Can I safely paste sensitive queries here? — The tool runs in the browser, so formatting happens locally rather than on a server. You should still use normal judgment around secrets embedded directly in SQL text.