Sql Prettify

Free online tool. All processing is client-side. No signup needed.

How to Use the Sql Prettify

1. Enter your input values above
2. Results update automatically
3. Copy or download the output

What is a Sql Prettify?

An SQL Prettifier (formatter) transforms messy, one-line, or inconsistently-written SQL queries into clean, consistently indented, readable SQL. Database queries often start as compact inline strings in application code — `SELECT a.id, a.name, b.total FROM users a LEFT JOIN orders b ON a.id=b.user_id WHERE a.status='active' AND b.total>100 ORDER BY b.total DESC` — and become nearly impossible to debug. This formatter adds consistent capitalization of keywords, line breaks at major clauses, and proper indentation of subqueries.

How Does It Work?

Paste SQL. The formatter identifies keywords (SELECT, FROM, WHERE, JOIN, GROUP BY, ORDER BY, HAVING, INSERT, UPDATE, DELETE, CREATE, ALTER), and restructures the query into a readable format: each major clause on a new line, column names aligned, subqueries indented, JOIN conditions clearly placed. It respects the original SQL dialect (MySQL, PostgreSQL, SQLite, SQL Server) and can transform between styles: uppercase keywords, lowercase keywords, or capitalize first letter.

Formula

Formatting Rules:\n\nMajor Clauses on New Lines:\nSELECT\n  column1,\n  column2,\n  aggregate(col) AS alias\nFROM table\nJOIN other_table ON condition\nWHERE condition\n  AND sub_condition\nGROUP BY column\nHAVING aggregate_condition\nORDER BY column DESC\nLIMIT 10;\n\nSubquery Indentation:\nSELECT *\nFROM (\n  SELECT id, MAX(total)\n  FROM orders\n  GROUP BY id\n) AS sub\nWHERE sub.total > 100;\n\nINSERT INTO table (col1, col2)\nVALUES\n  (val1, val2),\n  (val3, val4);\n\nUPDATE table\nSET\n  col1 = val1,\n  col2 = val2\nWHERE condition;

Who Uses This Tool?

• Backend developers debugging SQL queries embedded in application code
• Data analysts cleaning query output for documentation and presentations
• Database administrators reviewing slow query logs
• Students learning SQL — consistent formatting makes query structure visible
• Code review: prettifying SQL before asking for help on Stack Overflow

Pro Tips

• Consistent SQL formatting dramatically improves readability. A 200-line JOIN query is nearly impossible to debug without proper indentation
• Common formatting conventions: (1) UPPER CASE for keywords, (2) each column on its own line with leading comma, (3) join conditions indented under the JOIN
• CTEs (Common Table Expressions / WITH clauses) should be formatted like subqueries with clear visual separation from the main query
• For ORMs: log the generated SQL during development and prettify it to verify the ORM is generating efficient queries

Frequently Asked Questions about Sql Prettify

What's the best SQL formatting style?

There's no single standard, but the most common conventions: keywords in UPPER CASE, table/column names in lower_case, each major clause (SELECT, FROM, WHERE, etc.) on its own line, columns comma-separated with each on its own line. The key is consistency.

Does this work with all SQL dialects?

Our formatter handles standard SQL and has dialect awareness for MySQL, PostgreSQL, SQLite, SQL Server, and Oracle. Some dialect-specific syntax (e.g., PostgreSQL's :: casting, MySQL's backtick quoting) is preserved.

Free online Sql Prettify — no signup, 100% client-side processing. All data stays in your browser.