— @Mention Extractor

Mention & Hashtag Extractor

Quick Tips

  • This tool runs entirely in your browser - your data stays private.
  • Press Ctrl+V (Cmd+V on Mac) to quickly paste text.
  • Use the Copy button to save your result to clipboard.
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Extract @mentions and #hashtags from social media text.

Examples

Input
Great post @johndoe! Love the #design tips. CC @janedoe #webdesign #UI
Output
Mentions (2):
@johndoe
@janedoe

Hashtags (3):
#design
#webdesign
#UI
Input
@company announced #NewProduct launch today! @CEO is excited #tech #innovation
Output
Mentions (2):
@company
@CEO

Hashtags (3):
#NewProduct
#tech
#innovation

Frequently Asked Questions

Standard @mentions include letters, numbers, and underscores. Hashtags typically include letters, numbers, and underscores (no spaces or special characters). We follow conventions established by Twitter/X that most platforms have adopted.

By default, mentions are treated case-insensitively (@User and @user are grouped together). You can enable case-sensitive mode if you need to preserve original capitalization or track different capitalizations separately.

Yes, paste multiple posts together. All mentions and hashtags are extracted and aggregated. Use the frequency count to see which appear most often across all content.

Export the extracted data and use the "by post" view to see which hashtags appear together. This reveals tagging patterns and related topics that could inform your hashtag strategy.

Yes, @mentions and #hashtags follow similar patterns across most social platforms. Our extractor works with content from Twitter, Instagram, TikTok, LinkedIn, Facebook, and other platforms using these conventions.

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