Extract @ Handles / # Hashtags from Text

Extract @ handles and # hashtags from social media text, chat logs, or any document. Configurable: separate mentions vs hashtags, deduplicate, sort by frequency.

How to use the Extract @ Handles / # Hashtags from Text

Paste social posts or chat text. The tool finds @mentions and #hashtags, keeps the two as separate lists, removes duplicates, and can sort by frequency so the most-used appear first. Copy either list with one click.

Separating mentions and hashtags from social text

Posts, chat logs, and community exports weave @handles and #hashtags into ordinary prose. More often than not you want them as two clean lists — who was mentioned, which tags were used — without the surrounding words getting in the way.

This tool pulls both kinds of token, keeps mentions and hashtags apart, deduplicates each, and counts frequency so the most-tagged person or most-used tag rises to the top. For plain links and email addresses instead, use the URL & email extractor; for just the domains in a block of links, the domain extractor.

Common use cases

• Community management — list everyone @mentioned in a long thread.
• Campaign tracking — count which #hashtags appeared most across a set of posts.
• Moderation — surface the handles referenced in a report or chat log.
• Content repurposing — collect the tags from one post to reuse on the next.
• Analytics prep — turn a raw chat export into mention and hashtag columns.