What the hashtag extractor does
The hashtag extractor scans any block of text and identifies every string beginning with a # character, extracts them into a clean list, removes duplicates (optionally), sorts them (by order found, alphabetically, or by frequency), and lets you copy the result in your preferred separator format — space-separated for pasting into a new post, comma-separated for spreadsheets, or one per line for analysis.
It also extracts @mentions alongside hashtags when enabled, and shows a tag cloud where more frequently used tags appear larger — useful for quickly spotting the dominant tags in a piece of content.
Common use cases
Content repurposing is the most frequent use case. You write a post for one platform with its tags embedded in the text. When adapting it for another platform, you need the hashtag list separately — paste the original post, extract, copy the list, paste into the new post. Much faster than manually scanning and retyping each tag.
Hashtag auditing is another practical use. Paste a competitor's post or your own historical content to extract and analyse which tags were used, check for duplicates or repetition, and build a reference list of tags that have performed well. Sorting by frequency across multiple pasted posts reveals which tags you use most consistently.
Content database work: when importing social media posts into a spreadsheet or CMS, you often need hashtags in a separate column. The comma-separated output pastes directly into a cell, and the deduplication option ensures each tag appears only once per post.
Sorting options
Order found preserves the original sequence of hashtags as they appeared in the text — useful when you want to maintain the author's intended emphasis ordering. Alphabetical sorting (A→Z) creates a standardised list that is easy to scan and compare between posts. Frequency sorting puts the most-used tags first — most useful when you paste multiple posts together and want to find which tags appear most often across all of them.
The tag cloud
The tag cloud below the results table shows extracted hashtags at font sizes proportional to their frequency — the most-used tag appears largest. This gives an immediate visual impression of which tags dominate the content and is useful for presentations, reports, or simply understanding a body of content at a glance.