SQL Formatter: Format and Beautify Queries in Browser

How to format and beautify messy SQL queries

Writing and debugging unformatted, single-line SQL queries is one of the most frustrating tasks in data analysis and database engineering. This tool parses raw SQL, aligns clauses, standardizes keyword casing, and introduces structured indentations to make complex queries immediately readable and auditable.

All formatting executes entirely in client-side JavaScript. None of your proprietary schema names, table structures, queries, or database logic are ever uploaded to external servers.

Core formatting conventions

Professional data engineering and analytics teams adhere to standardized SQL formatting guidelines to improve query maintainability:

1. Keyword Uppercasing: Capitalize core SQL language keywords (SELECT, FROM, WHERE, JOIN, GROUP BY, ORDER BY, LIMIT) while leaving schema, table, and column identifiers in lowercase or snake_case.
2. Clause Isolation: Place every primary clause on its own distinct line to clearly separate projection, source, filtering, and aggregation stages.
3. Consistent Indentation: Indent expressions within SELECT projections and WHERE predicates by 2 or 4 spaces to visually communicate hierarchy.
4. Logical Operator Alignment: Align boolean operators (AND, OR) cleanly beneath the WHERE or HAVING clause to make complex filtering criteria clear.
5. CTE (Common Table Expression) Structuring: Format WITH clauses cleanly so each temporary staging table can be read and tested in isolation.

Before and after formatting example

Unformatted Input:

select u.id,u.name,count(o.id) as total_orders,sum(o.amount) as total_revenue from users u left join orders o on u.id=o.user_id where u.status='active' and o.created_at>='2026-01-01' group by u.id,u.name having sum(o.amount)>1000 order by total_revenue desc limit 50;

Formatted Output:

SELECT
  u.id,
  u.name,
  COUNT(o.id) AS total_orders,
  SUM(o.amount) AS total_revenue
FROM users u
LEFT JOIN orders o
  ON u.id = o.user_id
WHERE u.status = 'active'
  AND o.created_at >= '2026-01-01'
GROUP BY
  u.id,
  u.name
HAVING SUM(o.amount) > 1000
ORDER BY total_revenue DESC
LIMIT 50;

Dialect support and SQL engine compatibility

This formatter adheres to ANSI SQL standards and produces clean syntax compatible with all major analytical and relational database engines:

Frequently asked questions

Does this formatter validate query syntax against my database?

No. This tool formats query layout and structure based on ANSI SQL parsing rules. It does not connect to your database or verify table/column existence, which protects your private database credentials and data.

Why uppercase SQL keywords?

Uppercasing keywords (SELECT, JOIN, WHERE) provides immediate visual contrast between SQL language commands and your custom domain nouns (tables, columns, and aliases), speeding up code review and debugging.

Is my query sent across the network?

No. The query string is processed entirely within your browser's local memory using pure JavaScript string transformation. You can verify this in your browser's Network inspector tab.