About The SQL Formatter

This free online SQL Formatter turns compact SQL into readable, review-friendly output directly in your browser. It is useful for query reviews, dashboard snippets, migration notes, support tickets, and debugging database reports.

The formatter recognizes common SQL clauses such as SELECT, FROM, JOIN, ON, WHERE, GROUP BY, HAVING, ORDER BY, LIMIT, INSERT INTO, UPDATE, DELETE FROM, and VALUES. It keeps dotted identifiers like orders.total together and preserves quoted strings, quoted identifiers, and comments.

How to Format SQL Online

1. Paste a SQL query into SQL input.
2. Choose the indent size you want for nested or continued lines.
3. Leave Uppercase SQL keywords checked if you want standard keyword casing.
4. Click Format SQL to generate readable output.
5. Use Load sample to test a realistic reporting query, then copy the formatted result when needed.

Choosing Options Correctly

Indent size:
- Use 2 spaces for compact reviews and README snippets.
- Use 4 spaces if your team prefers wider indentation in saved SQL files.
- Larger values are mostly useful for deeply nested subqueries.

Keyword casing:
- Keep it ON for conventional SQL style with uppercase SELECT, JOIN, WHERE, and ORDER BY.
- Turn it OFF if you need to preserve lowercase keywords from an existing codebase.

Common Use Cases

• Clean up one-line SQL copied from logs, dashboards, or ORM output.
• Review joins, filters, grouping, and ordering before sharing a query.
• Prepare SQL snippets for docs, tickets, pull requests, or handoff notes.
• Make report queries easier to scan before debugging results.

Quick FAQ

Is my SQL uploaded?
No. SQL formatting is designed to run in the browser.

Does it validate SQL syntax?
No. It formats text but does not prove the query runs or matches your database schema.

Which SQL dialects work best?
Common SELECT, INSERT, UPDATE, and DDL statements usually work best. Vendor-specific syntax may format imperfectly.

What should I avoid pasting?
Avoid production credentials, private connection strings, customer data, and sensitive query comments.