SQL Formatter — Free Online SQL Beautifier

Raw SQL queries written without formatting are notoriously hard to read, debug, and maintain. Whether you’re working with a complex multi-join SELECT statement, a stored procedure, or output pasted from a query builder, our free SQL Formatter instantly beautifies your SQL with proper keyword capitalization, consistent indentation, and clean line breaks — all in your browser.

What Is SQL Formatting?

SQL formatting (also called SQL beautification or SQL pretty-printing) is the process of transforming unformatted, compressed, or inconsistently styled SQL into a standardized, readable structure. A well-formatted SQL query:

• Uses uppercase keywords (SELECT, FROM, WHERE, JOIN) for visual scanning
• Places each major clause on its own line for clarity
• Indents sub-expressions like column lists and conditions
• Adds consistent spacing around operators and commas

SQL formatting is especially important in collaborative environments where multiple developers write queries, or when reading query output from ORMs (like Sequelize, Eloquent, Active Record) that produce single-line SQL strings.

How to Use the SQL Formatter

1. Paste your SQL query — raw, minified, or messy — into the input area
2. Click Format SQL
3. The beautifully formatted query appears in the output panel
4. Click Copy and paste directly into your IDE, database client, or documentation

100% browser-based. Your queries and any sensitive table/column names never leave your device.

Example

Before formatting:

select u.id,u.name,u.email,o.total,o.created_at from users u inner join orders o on u.id=o.user_id where u.active=1 and o.total>100 order by o.created_at desc limit 20

After formatting:

SELECT
  u.id,
  u.name,
  u.email,
  o.total,
  o.created_at
FROM users u
INNER JOIN orders o ON u.id = o.user_id
WHERE u.active = 1
  AND o.total > 100
ORDER BY o.created_at DESC
LIMIT 20

The difference is dramatic — the formatted version reveals the query’s intent immediately.

SQL Keywords That Are Automatically Capitalized

Our formatter recognizes and capitalizes all standard ANSI SQL keywords, including:

Data Retrieval: SELECT, FROM, WHERE, AND, OR, NOT, IN, LIKE, BETWEEN, EXISTS, DISTINCT

Joins: JOIN, INNER JOIN, LEFT JOIN, RIGHT JOIN, OUTER JOIN, FULL JOIN, CROSS JOIN, ON

Aggregation & Grouping: GROUP BY, HAVING, ORDER BY, ASC, DESC, LIMIT, OFFSET, COUNT, SUM, AVG, MAX, MIN

Data Modification: INSERT INTO, VALUES, UPDATE, SET, DELETE FROM

Schema Operations: CREATE TABLE, ALTER TABLE, DROP TABLE, INDEX, PRIMARY KEY, FOREIGN KEY, REFERENCES

Advanced: WITH, UNION, ALL, CASE, WHEN, THEN, ELSE, END, OVER, PARTITION BY, WINDOW, COALESCE, NULLIF, CAST

Why SQL Formatting Matters

Code Reviews

Poorly formatted SQL makes pull request reviews painful. Reviewers can’t quickly identify which tables are joined, what conditions filter the data, or whether an index will be used. Formatted SQL makes logic immediately apparent.

Query Optimization

Formatted queries make it easier to spot performance issues: unnecessary columns in SELECT, missing JOIN conditions, unindexed WHERE columns, or N+1 patterns. A human can’t spot these in a 400-character one-liner.

Documentation

SQL queries in documentation, runbooks, and wikis should be formatted. Formatted queries are significantly easier to copy and adapt.

ORM Debugging

Frameworks like Django ORM, Laravel Eloquent, ActiveRecord, and Hibernate generate SQL that is correct but completely unformatted. Paste ORM output here to understand what your code is actually querying.

Database Migration Files

Migration scripts should contain formatted SQL for long-term maintainability. A formatted CREATE TABLE statement is auditable at a glance; an unformatted one is a single-line mess.

SQL Formatter vs. SQL Minifier

Frequently Asked Questions

Does formatting change what the SQL query does?

No. SQL is whitespace-insensitive. Adding newlines, spaces, and indentation has zero effect on query execution. The query before and after formatting produces identical results.

Does this tool support all SQL dialects?

The formatter handles standard ANSI SQL keywords and works well with MySQL, PostgreSQL, SQLite, SQL Server (T-SQL), and Oracle. Dialect-specific functions or procedural extensions (like PL/pgSQL blocks or T-SQL BEGIN...END procedures) may not be indented perfectly, but keywords will still be capitalized.

Can I format SQL with subqueries?

Yes. The formatter processes the top-level query structure. Subqueries inside IN (...), EXISTS (...), or inline views in FROM (...) will be treated as nested expressions. For very complex nested queries, some manual adjustment may be needed.

Will this work for stored procedures?

This tool formats SQL queries, not full stored procedure definitions. The keyword capitalization and line-break logic will apply to SQL inside a procedure, but procedural syntax (DECLARE, BEGIN, etc.) may not indent perfectly.

What about SQL comments?

Single-line comments (-- comment) and multi-line comments (/* comment */) are stripped during formatting to produce a clean, uncluttered output. If you need to preserve comments, keep a copy of the original.

Is SQLite syntax supported?

Yes. SQLite follows standard ANSI SQL for the most part. The formatter handles all core SQL keywords used in SQLite queries, including ATTACH, VACUUM, and PRAGMA if they appear in queries.

Can I format multiple queries at once?

You can paste multiple queries separated by semicolons. The formatter processes the entire block as a single SQL statement. For best results with multiple queries, format them one at a time.