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JSON Formatter
Format, validate, minify, and copy JSON locally in your browser without sending input to a server.
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SQL Formatter
Format, minify, and copy SQL queries locally in your browser for easier backend debugging, code review, and documentation.
Runs locally in your browser
SQL Formatter
Format common SQL queries for code review, debugging, documentation, or compact sharing.
How to use it
What this SQL Formatter is for
Use this SQL Formatter when you need to clean up a query before debugging, reviewing a pull request, pasting SQL into documentation, or sharing an example with another backend developer.
The formatter runs in your browser. It does not upload queries, table names, comments, or example data to a server.
How to use it
Paste a SQL query, choose a keyword style, then click Format SQL. Use Minify SQL when you need a compact one-line version for logs, scripts, or small examples.
This is a lightweight formatter, not a full SQL parser. It handles common query shapes and protects quoted strings, but you should still run database-specific validation before shipping a query.
Related reading
For backend API design context, read Pagination Strategies for REST APIs and Idempotency in APIs Explained. Use the Text Diff Checker when comparing query revisions, the Markdown Table Generator when documenting result sets, and the Big-O Cheat Sheet for performance thinking around data structures.
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SQL Formatter questions
Does this SQL Formatter upload my query?
No. Formatting and minifying run locally in your browser, and the tool does not send SQL input to a server.
Can this formatter validate every SQL dialect?
No. It is a lightweight formatter for common SQL readability. It does not fully parse every database dialect or replace database-specific validation.
Will this tool change string values inside my SQL?
No. The formatter protects quoted strings and comments before applying whitespace and keyword formatting.
What SQL dialects does this work with?
It is designed for common SELECT, INSERT, UPDATE, DELETE, JOIN, GROUP BY, ORDER BY, and WHERE clauses across mainstream SQL dialects.