SQL Formatter/Beautifier

Or enter SQL manually below

How SQL Formatter Works?

What does SQL formatting do?

SQL formatting (also called beautifying or pretty-printing) takes compact or messy SQL queries and transforms them into a readable structure with proper indentation, line breaks, and keyword alignment. For example, this compact query:

select id, name, category from tools where type = 'spreadsheet' order by popularity desc limit 10;

becomes:

SELECT
    id,
    name,
    category
FROM
    tools
WHERE
    type = 'spreadsheet'
ORDER BY
    popularity DESC
LIMIT
    10;

How does the keyword case selector work?

The keyword case selector lets you control how SQL keywords (SELECT, FROM, WHERE, etc.) appear in the formatted output. You have three options:

UPPERCASE (default) — traditional SQL style:

SELECT name, vendor FROM tools WHERE category = 'spreadsheet';

lowercase — modern, code-friendly style:

select name, vendor from tools where category = 'spreadsheet';

Preserve — keeps your original casing:

Select name, vendor From tools Where category = 'spreadsheet';

Tip: Changing the keyword case after formatting will automatically re-format the output without needing to click the Format button again.

What happens if my SQL has syntax errors?

The formatter will still attempt to format your SQL even if it contains syntax errors. However, you'll see a warning message indicating that your query was formatted but contains syntax issues. This helps you see a cleaner version of your code while still being aware that corrections are needed.

Does formatting change my query logic?

No. Formatting only changes whitespace, indentation, and keyword casing. Your actual query logic: table names, column names, conditions, values, and operations remain exactly the same. The formatted query will execute identically to the original.

Does this tool support complex queries?

Yes. The formatter handles complex SQL including JOINs, subqueries, CTEs (Common Table Expressions), aggregate functions, GROUP BY, HAVING, and nested conditions. Each clause is properly indented for readability.

SELECT
    t.id,
    t.name,
    c.category_name,
    COUNT(f.id) AS total_features,
    AVG(r.rating) AS avg_rating
FROM
    tools t
    LEFT JOIN categories c ON t.category_id = c.id
    LEFT JOIN features f ON t.id = f.tool_id
    LEFT JOIN reviews r ON t.id = r.tool_id
WHERE
    t.type IN ('spreadsheet', 'database', 'converter')
    AND t.is_active = true
GROUP BY
    t.id,
    t.name,
    c.category_name
HAVING
    COUNT(f.id) >= 5
ORDER BY
    avg_rating DESC
LIMIT
    20;

What SQL dialects are supported?

The formatter uses standard SQL formatting that works well with most database systems including MySQL, PostgreSQL, SQLite, SQL Server, and Oracle. While dialect-specific syntax may vary, the formatter handles common SQL patterns across all major databases.