Extract Hashtags
Automatically discover and extract all #hashtags from social media posts and captions
Harvested Tags
Pull the hashtags out of your posts
Captions, exported comments and campaign drafts often carry a dozen tags each. Collecting them by hand for research or reuse is tedious. This tool searches the text you paste for anything that starts with a hash sign followed by word characters and returns a de-duplicated list. The search runs in your browser as soon as you press the button.
Using the tool
- Paste captions or posts into the large box. Paste reads your clipboard, Sample fills in a short example post with tags such as #tech and #webdev, and Clear resets the text and counters.
- Check the Words badge if you want to confirm how much text was pasted.
- Press the extract button. A Harvested Tags panel opens and Tags Found shows how many unique tags there are.
- Click the copy icon next to a tag to copy just that one, or press Copy All Tags to put the entire list on your clipboard separated by spaces, ready to paste into a new post.
How tags are recognized
A tag is a hash sign followed by letters, digits or underscores, and it ends at the first character that is not one of those. So #web-dev is read as #web, and #well_done stays whole. Each tag is kept once, in the order it first appears, and matching is case-sensitive, meaning #Travel and #travel are listed separately.
When it is useful
- Building a list of tags used across your last month of captions to see what you rely on.
- Collecting the tags competitors or clients used in a set of posts you copied.
- Moving a tag set from one draft to another without retyping.
- Cleaning tags out of a block of text so you can rewrite the caption itself.
Limitations and edge cases
The pattern only understands basic Latin word characters. A tag containing accented letters, such as #café, will stop at the accent, and tags in scripts like Arabic, Cyrillic or Chinese will not be captured properly. Anything else that begins with a hash sign is also picked up, including numbered items like #1, color codes such as #ff0000 and URL fragments, so glance through the results. There is no file download on this tool; use Copy All Tags and paste into a document or spreadsheet.
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