Format and beautify SQL queries instantly
Query layout
Choose the database dialect and paste SQL. Formatting does not execute queries or validate tables, permissions, or performance.
The full guide also includes pitfalls, worked examples, snippets, FAQs, and related tools for checking results or troubleshooting.
Choose MySQL, PostgreSQL, or SQLite to format SELECT, JOIN, WHERE, and CTE queries with dialect-aware tokenization. Use two spaces, four spaces, or tabs and upper- or lowercase keywords. Comments, quoted identifiers, and string literals are handled according to the selected dialect. Formatting does not execute SQL or verify tables, columns, permissions, or performance. SQL input is not uploaded or persisted; only layout settings are remembered.
Raw SQL
Use it when preserving the exact transport payload matters.
Formatted SQL
Use it when humans need to review, diff, or explain the query.
Note: Formatting does not change intent, but it often changes how fast a teammate can understand the query.
Ad-hoc formatting
Use only for quick local scratch queries.
Formatter-enforced style
Use for shared scripts, migrations, and review-heavy teams.
Note: Consistent SQL style reduces review friction and hidden syntax mistakes.
Generic formatting
Use for simple cross-dialect statements.
Dialect-aware formatting
Use for vendor-specific features and edge syntax.
Note: Dialect-aware mode prevents valid SQL from being rewritten into invalid variants.
Goal: Turn a dense one-line SQL statement into a readable query before optimization or incident response.
Result: You can review or diff the query faster without manually reflowing every clause.
Bad input: PostgreSQL-specific query formatted under MySQL-like assumptions.
Failure: Formatted SQL appears clean but fails at execution in production migration.
Fix: Pin formatter dialect to the same engine used by execution and CI tests.
Bad input: Large join query committed as a single compressed line.
Failure: Logic error survives review because join condition is visually buried.
Fix: Format before review and add lint gate for multiline readability.
Recommend: Use dialect-aware formatting plus review before deployment.
Avoid: Avoid applying auto-formatted SQL directly without execution checks.
Recommend: Use fast formatting presets for readability and collaboration.
Avoid: Avoid spending heavy review cycles on disposable throwaway queries.
Q01
Readable line breaks make joins, predicates, and update clauses far easier to reason about under pressure.
Q02
Yes. Different dialects treat keywords, functions, and syntax details differently, so matching the dialect reduces confusion.
Cause: One-line SQL hides structure and makes it harder to catch missing predicates or accidental cartesian joins.
Fix: Format first, then reason about the query logic.
Cause: A query can look clean while still being semantically wrong or dangerous.
Fix: Use formatting for readability, then validate the query separately in the real database context.
sql
SELECT
u.id,
u.email,
p.plan_name
FROM users u
LEFT JOIN plans p ON p.id = u.plan_id
WHERE u.is_active = 1;Readable SQL reduces review errors. Formatting should be treated as a collaboration standard, not personal preference.
Adopt one style for keyword casing, join alignment, and line breaks across the repository.
Consistent formatting makes query diffs smaller and review comments more focused on logic.
Use formatting before running query reviews to catch missing predicates or accidental Cartesian joins.
Pair formatter usage with execution plan checks on critical queries.
No. This formatter recognizes SQL tokens and layouts; it does not connect to your database or validate schema, permissions, result sets, or execution plans. Some malformed SQL may still be formatted.
PostgreSQL dollar-quoted strings and $1 parameters, MySQL backtick identifiers, and SQLite bracket identifiers use different tokenization rules. Select the dialect of the database that will receive the query.
Check the selected dialect, unclosed quotes or comments, and unsupported syntax. Remove application template placeholders from a copy before formatting. The tool clears its previous output on failure; it does not repair or execute the query.
No. SQL is processed in the browser and is not persisted. Only formatting settings are saved locally. The tool removes SQL drafts left by its older version when opened.
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