Tool guide

About SQL Beautifier

A SQL beautifier turns compressed or hard-to-read SQL into a clearly indented query.

Use it for long SELECT, JOIN, WHERE, GROUP BY, and ORDER BY statements, or compress SQL back to one line for config and tests.

How to use the SQL Beautifier

Paste your SQL query.
Click Format to expand indentation, or Compress to reduce whitespace.
After formatting, review JOIN conditions, WHERE filters, and parenthesis nesting.

When you would use it

Read a one-line SQL statement copied from logs.
Clean up a long query before a pull request or code review.
Debug WHERE precedence and nested subqueries.

SQL formatting, dialects, and readability

SQL dialects differ in functions, quoting rules, and pagination syntax. Formatting improves readability, but it does not prove the query is semantically correct.

Keyword line breaks make SELECT, FROM, JOIN, and WHERE easier to scan.
Subquery indentation makes parenthesis scope easier to see.
Compressed SQL is useful for fixtures or one-line configuration.

SQL Beautifier FAQ

Does formatting change query results?: No. It changes whitespace and line breaks, not intended SQL semantics.
Does it support MySQL, PostgreSQL, and SQLite?: Common syntax formats well, but dialect-specific SQL should still be tested in the target database.
Is my SQL uploaded?: No. Formatting runs locally in the browser and is not uploaded to wetool.site.

SQL Beautifier vs SQL validator

A beautifier formats SQL. It is not a database parser, validator, or execution-plan analyzer. Performance questions still belong in EXPLAIN on the target database.

SQL dialect migration checklist

Formatting makes SQL easier to read, but MySQL, PostgreSQL, SQLite, and SQL Server still differ in functions, quoting, and pagination syntax.

String concatenation, date functions, JSON functions, and LIMIT/OFFSET are common cross-database migration traps.
Double quotes, backticks, and square brackets mean different things across dialects, so verify them against the target database.
When copying SQL from logs, remember that parameter placeholders may have been replaced or omitted by the ORM.

What to inspect after formatting

A SQL beautifier does not execute the query or prove it is safe or fast. It makes risky parts easier to scan.

Check whether JOIN clauses are missing ON conditions, or whether WHERE precedence expands the result set.
Look for SELECT *, unbounded DELETE/UPDATE, implicit type conversions, and likely full table scans.
Performance questions still require EXPLAIN or ANALYZE in the target database.