SQL Minifier
Minify SQL queries by removing whitespace and comments.
What is SQL Minifier?
The SQL Minifier strips unnecessary whitespace, line breaks, and inline or block comments from SQL queries, producing a compact single-line (or minimally spaced) output that is functionally identical to the original. This is especially useful when embedding SQL strings in application code, configuration files, or API payloads where readability is less important than a smaller footprint.
For developers, minified SQL reduces noise in logs, shrinks the size of stored query strings, and can make programmatic parsing or transmission slightly more efficient. While databases themselves don't care about extra whitespace, the layers around them — ORMs, query builders, monitoring tools, and network requests — often benefit from cleaner, more compact query strings. This tool gives you that compression in seconds without any manual editing.
How to Use
To use the SQL Minifier, paste your raw SQL query into the input field. This can include any valid SQL syntax — SELECT statements, INSERT/UPDATE/DELETE operations, CREATE TABLE definitions, stored procedures, and more. The tool will automatically detect and remove leading and trailing whitespace, redundant internal spaces, newlines, tab characters, and both single-line (--) and block (/* ... */) comments.
The output is a minified version of your query, typically collapsed to one line or the fewest lines necessary to preserve valid syntax. You can copy the result directly to your clipboard with one click. It's important to note that the tool performs text-level minification only — it does not parse or validate the SQL, so syntactically invalid input will still produce minified output without errors or warnings.
A few edge cases to keep in mind: string literals that contain comment-like sequences (e.g., a value like '-- not a comment') are generally preserved correctly, but always verify the output when working with complex or dynamic SQL. Also, if your query relies on specific whitespace for formatting inside string values, review the result before using it in production.