Pulling out just the comments from a block of code — separate from the actual executable code — is useful for reviewing documentation coverage, compiling a change summary from inline notes, or auditing what a codebase's comments actually say without the surrounding logic.
This tool scans your pasted code for both single-line comments (starting with //) and block comments (wrapped in /* */), common across JavaScript, C-style languages, and several others, extracting each one found.
This is useful for reviewing how well-documented a piece of code is, quickly scanning through TODO or FIXME notes left in comments, or extracting developer notes from a code snippet without needing to read through all the actual logic.
Because everything runs locally in your browser, results appear instantly and nothing you type or upload is ever sent to a server.
Bookmark this page if you expect to use this tool regularly — it loads fast and behaves the same way every time, with no account needed.
This kind of task shows up constantly in everyday writing, coding, design, and admin work, which is exactly why a dedicated, focused tool saves so much back-and-forth.
A tool that does one job well, without a cluttered interface or unrelated features competing for attention, tends to be faster to use than a heavier all-in-one app.
If you find yourself needing this often, keeping this page open in a tab is usually faster than digging through a bigger software suite's menus.
Because there's no sign-up or installation step, you can jump straight from a search result to a working tool in a couple of seconds.
Frequently asked questions
Does this work for Python-style comments starting with #?
This version targets C-style comment syntax (// and /* */) common to JavaScript, Java, C, and similar languages; Python-style # comments would need a separate pattern.
Does this extract comments that are part of a string, like a URL containing //?
This is a straightforward pattern match rather than full language parsing, so it may occasionally catch a false positive inside a string — for precise extraction from complex code, a language-aware parser would be more accurate.