Mention Extractor
Need to find unique @mentions in text? Mention Extractor does it in the browser, in a couple of clicks. All counting, matching and rewriting happens in JavaScript on the page itself, so even long confidential drafts stay in your browser. It is used most by developers tidying data pasted out of a spreadsheet or log. Handles full Unicode, so accented Latin, Cyrillic, Arabic, Chinese and emoji all count correctly. It stays free with unlimited use, and there is no watermark on anything it produces.
Key features
- Handles full Unicode, so accented Latin, Cyrillic, Arabic, Chinese and emoji all count correctly.
- Pasted rich text is reduced to plain text — formatting is not carried over.
- Works on desktop, tablet and phone — no separate app to install.
- Loads in under a second and gives its result in one action.
How to use Mention Extractor
- Paste your text: Paste or type into the box above. It accepts anything from a sentence to a full manuscript.
- Choose what you need: Set the options that match your task — the result updates as you change them.
- Copy the result: Copy the output with one click and paste it wherever you are working.
Frequently asked questions
- Is there any signup? — None. Mention Extractor has no account, no email capture and no usage cap.
- Is my text stored when I use Mention Extractor? — No. Mention Extractor processes the text in the page itself. Nothing is transmitted or saved, which matters for unpublished or confidential writing.
- How much text can I paste in? — Tens of thousands of words is comfortable. The only real limit is how much your browser will hold.
- Does it handle languages other than English? — Yes — full Unicode support, so Cyrillic, Arabic, Chinese, Japanese, accented Latin and emoji are all handled properly.