Extract Hashtags
Paste a stack of social posts, a meeting transcript, a campaign brief or a comment export, and this tool pulls every #hashtag out into a clean list - deduplicated with a use-count, in order of appearance. Hashtags are recognized the way the platforms treat them: a # followed by letters, digits and underscores, where digits alone or a leading digit right after the hash (like #2024) still count as written, but punctuation, emoji and hyphens end the tag.
The extraction runs entirely in your browser - the text never leaves the page - which matters because drafts and exports are exactly the kind of text you shouldn't paste into a random web service. Everything below is the standard extraction family drill: one click copies a single tag, copy-all grabs the list, and the count tells you whether the campaign brief's '#use this #tag everywhere' actually repeated as often as the client thinks.
How to use
- Paste your text - every hashtag appears in the list on the right with a use-count, deduplicated automatically.
- Click any tag to copy it alone, or copy-all to take the whole list; the x1/x2 counts show repetition at a glance.
- Turn on unique-only mode when you just want the distinct tags for a report, and off when order-of-use matters.
Frequently asked questions
What counts as a hashtag?
A # immediately followed by letters, digits or underscores, running until punctuation, whitespace or emoji. That matches how the major platforms tokenize tags: #coffee_time and #route66 are one tag each, while #off-the-grid stops at the hyphen and yields just #off, and a bare # or one followed by a space is not a tag at all.
Are hashtags case sensitive?
For matching, no - platforms treat #Coffee and #coffee as the same tag, and this list folds them together keeping the first form written. For readability and reach, mixed case (camel case like #DigitalMarketing) is still the better choice because screen readers can pronounce the word boundaries.
Does it count duplicates?
Yes - each distinct tag keeps a use-count (x1, x2, x3...), and the total line separates unique tags from total mentions. That gap is the quick audit: a campaign meant to repeat one branded tag should show one tag with a high count, not twenty tags with x1 each.
Is my text uploaded anywhere?
No - the extraction is a few lines of JavaScript running in your browser tab, and there is no server call. Unplugging the network after the page loads changes nothing, which is the honest test of the privacy claim.
Can it extract from a CSV or transcript?
Yes - paste anything text-shaped. Columns, timestamps and speaker labels are ignored because only #-prefixed tokens match. For bulk column work on CSV files specifically, a spreadsheet or a dedicated CSV tool is the better shape of tool.