Extract Hashtags and Mentions From Text

A hash or at sign that is not glued to a preceding letter, digit or underscore, followed by one or more Unicode letters, digits or underscores. Any punctuation or space, such as the exclamation mark in '#win!', ends the tag.

They are removed case-insensitively while keeping the first spelling you wrote. So '#Tag' followed by '#tag' collapses to a single '#Tag', and the count reflects one hashtag.

No. Because the at sign in 'ada@host.com' sits directly after a word character, it is not a mention, so email local parts and domains are safely ignored.

Yes. Matching is fully Unicode-aware, so tags like '#café', '#日本語' or handles like '@José' are captured intact rather than cut at the first accent.

Yes. The tool shows two lists side by side, one for #hashtags and one for @mentions, each with its own count. Copy all concatenates them with the hashtags first.

Those characters end the tag, matching how most platforms behave. '#well-being' yields '#well', and an emoji after a tag stops it, because only letters, digits and underscores continue a tag.

Yes. Within each list, tags appear in the order they first occur in your text, and later duplicates are simply skipped rather than reordering the list.

This tool focuses on hashtags and mentions. For addresses use the Extract Emails tool, and for links use the Extract URLs tool, each tuned to its own pattern.

Yes. Extraction runs entirely in your browser and nothing is uploaded, so unpublished captions and private notes never leave your device.