Extractor Tools

Extract Mentions from Text

Extract at-mentions from text, ignoring email addresses.

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Extract Mentions from Text is a browser-based text tool on TextToolsBase. Extract at-mentions from text, ignoring email addresses. To use it, paste or type your text and view the result directly in your browser — no signup and nothing to install.

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Input
Result
0 chars · 0 found
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Collecting the @handles tagged in social copy means scanning for every at-sign while skipping email addresses.

Mention Extractor lists @ mentions, skips addresses, and can drop the leading @ for a clean handle list.

How to use Extract Mentions from Text

  1. Paste the social copy or notes that contain @ mentions into the input box.
  2. Turn on Remove @ to output bare handles, then optionally lowercase and dedupe them.
  3. Copy the handle list, or download it as a .txt file.
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Use cases

  • Collecting tagged usernames from social media copy.
  • Reviewing the accounts mentioned across a campaign draft.
  • Building a clean handle list with the @ removed.

Good to know

Mention Extractor matches an at sign followed by handle characters, and the preceding-character rule keeps it from picking the @ inside an email address. Optional controls drop the leading @ and lowercase the handles before deduplicating.

Frequently asked questions

Are email addresses excluded from mentions?

Yes. An at sign that sits inside an email address is not treated as a mention, so addresses do not leak into the list.

Can I output handles without the @ sign?

Yes. Turn on Remove @ and each handle is returned without its leading at sign.

Which characters count as part of a handle?

Letters, numbers and underscores after the at sign are captured, matching the handle style used by most platforms.

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