Free Online SQL Query Formatter & Beautifier

What is a SQL Formatter?

A SQL formatter (also called a SQL beautifier) is a tool that takes a SQL script or query as input and rewrites it into a clean, consistently indented, readable format - without changing what the query actually does. It fixes inconsistent capitalization, cramped one-line queries, and messy indentation from exported reports, ORMs, or copy-pasted code.

Example: Before and After Formatting

Here's the same query before and after running it through this SQL beautifier, using uppercase keywords and 2-space indentation:

select id,name,email from users where status='active' and created_at>'2024-01-01' order by name;

SELECT
  id,
  name,
  email
FROM
  users
WHERE
  status = 'active'
  AND created_at > '2024-01-01'
ORDER BY
  name;

Notice what changed: keywords are capitalized, each selected column gets its own line, and the AND condition drops to a new line under WHERE instead of trailing off the end of a long line. The query itself - what it selects and how it filters - is completely unchanged.

Real production SQL is usually messier than that - copy-pasted from a BI tool, generated by an ORM, or written in a hurry with several joins. Here's a more realistic example: a customer revenue report with a join, a left join, a date range filter, and a HAVING clause:

SELECT c.customer_id,c.name,SUM(o.amount) as total,COUNT(DISTINCT o.order_id) as orders FROM customers c JOIN orders o ON o.customer_id=c.customer_id LEFT JOIN refunds r ON r.order_id=o.order_id WHERE o.status='completed' AND r.id IS NULL AND o.created_at BETWEEN '2025-01-01' AND '2025-06-30' GROUP BY c.customer_id,c.name HAVING SUM(o.amount)>500 ORDER BY total DESC LIMIT 50;

SELECT
  c.customer_id,
  c.name,
  SUM(o.amount) AS total,
  COUNT(DISTINCT o.order_id) AS orders
FROM
  customers c
  JOIN orders o ON o.customer_id = c.customer_id
  LEFT JOIN refunds r ON r.order_id = o.order_id
WHERE
  o.status = 'completed'
  AND r.id IS NULL
  AND o.created_at BETWEEN '2025-01-01' AND '2025-06-30'
GROUP BY
  c.customer_id,
  c.name
HAVING
  SUM(o.amount) > 500
ORDER BY
  total DESC
LIMIT
  50;

That single-line version is nearly impossible to review in a pull request. Formatted, it takes a few seconds to see exactly what's being joined, filtered, and aggregated.

Why Format Your SQL Queries?

• Readability: Deeply nested joins and subqueries become easy to scan at a glance.
• Code review: Consistent formatting makes it faster for teammates to spot logic issues.
• Debugging: Clear indentation makes it obvious which clause a condition belongs to.
• Consistency: Enforce one keyword case and indent style across a whole codebase.

When Should You Format SQL?

• Before opening a pull request. Reviewers can actually follow the logic instead of untangling a wall of text first.
• When a query isn't returning what you expect. Formatting alone often reveals a misplaced AND or a join condition on the wrong column.
• Before pasting SQL into Slack, a ticket, or documentation. A readable query gets a faster, more useful answer from teammates.
• Right after copying from an ORM log or BI tool. Generated SQL is almost always a single dense line.
• When onboarding onto a codebase with inconsistent casing and indentation, to bring old queries in line with your team's style.

How to Use This SQL Query Formatter Online

1. Paste your raw SQL into the input box on the left (or click "Load Example").
2. Choose your database dialect, keyword case, and indentation style.
3. Click Format SQL - the beautified query appears instantly on the right.
4. Click Copy to grab the formatted SQL, or Copy 1-line to grab a single-line version without changing what's shown.
5. Use Minify to collapse a query to one line, or Explain for a plain-English breakdown of what it does.

SQL Formatting Best Practices

Whether you use this tool or format by hand, these conventions make SQL easier for anyone to read:

• Uppercase keywords. SELECT, FROM, WHERE, JOIN and similar stand out from table and column names at a glance.
• One column per line in SELECT, GROUP BY and ORDER BY once you have more than two or three.
• Indent consistently - pick 2 or 4 spaces and stick to it; never mix tabs and spaces in the same file.
• Keep join conditions with their join. Put the ON clause right after the table it joins, not on a separate unrelated line.
• Start a new line for each AND / OR in a long WHERE clause so every condition is easy to scan.
• Use meaningful aliases (u for users, o for orders) instead of arbitrary single letters once a query has multiple joins.

Common SQL Formatting Mistakes to Avoid

• Mixing tabs and spaces. The query looks fine in your editor but misaligns everywhere else.
• Inconsistent keyword casing - Select, select and SELECT scattered across the same script.
• Cramming multi-join queries onto one line, which hides missing or duplicate ON conditions.
• Unindented subqueries, making it hard to tell which SELECT belongs to which nesting level.
• Trailing conditions - burying a second AND at the end of an already-long line instead of on its own.

Supported SQL Dialects

Our SQL beautifier understands dialect-specific syntax for:

• Standard SQL
• MySQL
• PostgreSQL
• MariaDB
• SQLite
• SQL Server (T-SQL)
• Oracle PL/SQL
• Google BigQuery
• Snowflake
• Amazon Redshift
• IBM Db2
• Spark SQL

Frequently Asked Questions