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Find clear answers to common questions about Extract Mentions, including usage, output, and common issues.
Use this extract mentions tool to pull @mention values from chats, drafts, social content, and copied text into a clean result list.
Extract Mentions helps clean, transform, or inspect text directly in the browser, which is useful for writing, editing, SEO, and content workflows.
It finds @mention-style values in text and returns them in a list.
Yes. The extracted result keeps the @ symbol.
No. It extracts matches in order and keeps repeated mentions.
Yes. It works for short messages and large text blocks.
Extract Mentions finds @mentions, while Extract Hashtags finds #tags.
Extract Mentions helps clean, transform, or inspect text directly in the browser, which is useful for writing, editing, SEO, and content workflows.
Start by checking the input format, removing accidental spaces or unsupported characters, and comparing your input against the example pattern on the page.
Fix: This tool only extracts words that start with @.
Fix: The tool returns matches as found. Deduplicate the result afterward if needed.
Fix: Mention extraction works on continuous mention-style tokens.
If you want to see realistic input and output patterns, open the examples page. If you want step-by-step usage guidance, open the guide page.
Open the main Extract Mentions page to test your own input and generate a live result.