Mention Extractor
Paste any text and instantly extract all @usernames. You can see how many times each person was mentioned, remove duplicates, and sort the list however you like. Perfect for social media analysis, chat logs, or comment threads. No signup, no uploads — everything stays private in your browser.
Why use this Mention Extractor?
Manually picking out @usernames from a wall of text is tedious. Our tool scans the text in an instant and gives you a clean list of every mention, optionally with counts. It's perfect for community managers, developers, or anyone analyzing social media content.
- Smart detection – catches @mentions even if they're followed by punctuation or line breaks.
- Duplicate handling – see each username only once, or count how many times they were mentioned.
- Flexible sorting – order by frequency (most mentioned first) or alphabetically.
- Case‑insensitive mode – treats @John and @john as the same person (on by default).
- Privacy first – all processing is local; your text never touches a server.
How to extract mentions (step‑by‑step)
1. Paste your text
Drop tweets, chat logs, comments, or any text containing @usernames into the left box.
2. Choose options
Decide if you want unique mentions, case‑insensitive matching, and how to sort the results.
3. Get the list
The extracted mentions appear instantly on the right. If duplicates are allowed, each mention shows how many times it appeared.
4. Copy or clear
Use "Copy List" to save the mentions for your records, or "Clear All" to start a fresh extraction.
Example: analyzing a tweet
| Input text | Extracted mentions (case‑insensitive, duplicates, sorted by frequency) |
|---|---|
| Big thanks to @tech_guru for the review! Also @CodeMaster and @tech_guru again. @NewbieDev joined the chat. | @tech_guru (2 times) @codemaster (1 time) @newbiedev (1 time) |
Common use cases
- Social media engagement: Quickly see who was mentioned in a tweet or post to follow up.
- Chat log analysis: Extract @mentions from Slack or Discord logs to find active participants.
- Comment moderation: Scan comment sections for mentioned users to notify them or check for spam.
- Forum monitoring: Find all users referenced in a forum thread or support ticket.
- Data cleaning: Separate @handles from regular text before further processing.
Pro tips
- The extraction handles common punctuation after mentions (e.g., @user, @user. @user!) — the punctuation is stripped automatically.
- If you're comparing mentions across platforms, enable case‑insensitive mode to merge @john and @John.
- After extracting unique mentions, paste the list into our Text Sorter to remove any accidental duplicates or sort them further.
- Need to extract URLs or emails instead? Check out our URL Extractor or Email Extractor.