SQL Formatter

Example Input

select u.id,u.username,u.email,p.title,p.created_at from users u inner join posts p on u.id=p.author_id where u.status='active' and p.created_at>'2023-01-01' and p.published=true order by p.created_at desc limit 20

Example Output

SELECT
  u.id,
  u.username,
  u.email,
  p.title,
  p.created_at
FROM
  users u
  INNER JOIN posts p ON u.id = p.author_id
WHERE
  u.status = 'active'
  AND p.created_at > '2023-01-01'
  AND p.published = TRUE
ORDER BY
  p.created_at DESC
LIMIT
  20

Does it support MySQL and PostgreSQL?

Yes. The formatter supports Standard SQL, MySQL, and PostgreSQL dialects, as well as other common SQL variants. Select the dialect matching your database from the dropdown before formatting. This ensures that dialect-specific keywords, identifier quoting styles, and syntax variations are handled correctly. Standard SQL works for most basic SELECT, INSERT, UPDATE, and DELETE queries across all major relational databases.

Can it handle multiple SQL queries at once?

Yes. Paste multiple SQL statements separated by semicolons and the formatter will process all of them in sequence, preserving the statement boundaries and formatting each one individually. This is useful for formatting database migration files, seed scripts, or batches of queries that belong together. Each statement is formatted independently so the result is clean, consistent SQL throughout the entire file.

Is there a limit to the query size?

The formatter handles very large queries efficiently, including complex multi-join queries with dozens of conditions, long migration scripts, and multi-statement files. For extremely large inputs — think a full database dump with hundreds of statements — performance depends on your device hardware. Typical real-world queries and scripts in the range of a few thousand to tens of thousands of characters format instantly.

Does formatting change my SQL logic in any way?

No. Formatting only changes whitespace, indentation, and keyword capitalization. The SQL logic — the tables referenced, the JOIN conditions, the WHERE predicates, the ORDER BY columns, the LIMIT values — is never modified. The formatted output is semantically identical to the original input and will produce exactly the same results when executed against a database. You can safely format and use the output without any concern about changed behavior.

Can I use this to format SQL from Hibernate, SQLAlchemy or other ORMs?

Yes, this is one of the most common use cases. ORMs generate syntactically correct but completely unreadable SQL — typically a single line with dozens of aliased columns, multiple JOINs, and deeply nested subqueries. Paste the ORM-generated SQL into the formatter and the formatted output immediately shows you the full query structure, which JOIN types are being used, which conditions are in the WHERE clause, and exactly what your ORM is doing under the hood. This is invaluable for debugging N+1 query problems and unexpected query behavior.

Is my SQL data private when using this tool?

Yes, completely. All formatting happens locally in your browser — your SQL queries are never transmitted to any server, never logged, and never stored. This is important because SQL queries often contain your database schema structure, table names, column names, and sometimes literal values that reveal business logic. Browser-based processing ensures that proprietary schema information and query patterns stay on your machine.

What is the difference between a SQL formatter and a SQL validator?

A formatter improves the visual presentation of SQL — indentation, keyword casing, line breaks. A validator checks whether the SQL is syntactically correct — whether the keywords are in the right order, parentheses are balanced, and the statement structure is valid. These are complementary tools. Format first to make the query readable, then validate to check for syntax errors. LearnHubly has a separate SQL Validator tool in the Related Tools sidebar if you need both.

Does it work with SQL Server T-SQL or Oracle SQL?

The formatter handles standard SQL syntax well and will correctly format most basic T-SQL and Oracle SQL queries. However, highly vendor-specific constructs — T-SQL hints (WITH NOLOCK), Oracle hierarchical queries (CONNECT BY), SQL Server OUTPUT clauses, or PL/SQL procedural blocks — may not format perfectly because these are extensions beyond the standard SQL the formatter is designed for. For T-SQL, SQL Server Management Studio has built-in formatting. For Oracle, SQL Developer provides formatting. Use this tool for the standard SQL portions of your queries.