Mention Extractor

The Mention Extractor scans any text you paste and pulls out every @handle it can find, ignoring plain words, email addresses, punctuation, and markup. Instead of hunting through comments, captions, or chat logs to note who was tagged, you get a clean list of mentions with one handle per line, ready to review, reuse, or feed into another tool in a matter of seconds.

It is built for community managers, social media teams, researchers, and anyone who needs to know which accounts are being referenced in a batch of text. Whether you are compiling a list of collaborators tagged across many posts, spotting the most-mentioned accounts in a conversation, or building an outreach list from a thread, isolating the handles from the surrounding content saves a lot of manual effort.

Everything runs locally in your browser using JavaScript, so nothing you paste is uploaded to a server or stored anywhere. Paste your captions or chat export, choose whether to keep the leading @ symbol, toggle deduplication and sorting, and the finished list appears instantly with a small statistics panel showing how many mentions were found and returned.

Features

• Detects @handles in mixed text, matching letters, numbers, dots, and underscores after the @ symbol.
• Avoids capturing email addresses by only matching handles that stand on their own in the text.
• Optionally strips the leading @ symbol so you get bare usernames ready for a spreadsheet.
• Removes duplicate handles case-insensitively so each mentioned account appears only once.
• Offers optional alphabetical sorting so a long list of mentions is easy to scan and compare.
• Shows a stats panel counting mentions found, mentions returned, and duplicates removed.
• Runs instantly with no account, no upload, and no limit on how much text you paste.

How to use Mention Extractor

1. Paste the captions, comments, or chat export that contains @mentions into the input box.
2. Enable Strip @ symbol if you want bare usernames instead of handles with the leading at sign.
3. Toggle Remove duplicates and Sort A to Z depending on how tidy you want the output.
4. The extracted mention list updates live as you paste or change any option.
5. Review the statistics panel to confirm how many mentions were found and returned.
6. Copy the finished list to your clipboard or export it as a TXT file for later use.

Benefits

• Compiles a list of tagged collaborators across many posts without reading each one by hand.
• Helps community teams spot which accounts are mentioned most often in a conversation.
• Lets researchers map who is referenced across a batch of comments, captions, or threads.
• Keeps output clean from the start with built-in deduplication and alphabetical sorting.
• Processes private exports safely because nothing you paste ever leaves your device.
• Gives instant, transparent feedback through counts so you can trust the extraction result.

This tool is ideal when you have a lot of text and need to know which accounts were tagged inside it. Common sources include exported chat logs, comment threads copied from a browser, caption archives, and support conversations. Because the matcher requires the @ symbol to stand on its own rather than sit inside an email address, it avoids capturing the domain part of addresses like name@example.com.

Stripping the @ symbol is useful when you want to feed the usernames into a spreadsheet or another tool, while keeping the symbol is better when you plan to paste the mentions back into a post. Remember that handle rules vary between platforms, so the extractor recognises the common pattern of letters, numbers, dots, and underscores and trims trailing dots that usually belong to the surrounding sentence.