Caption Keyword Extractor
Extract keywords and existing hashtags from a social caption.
Options
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What the Caption Keyword Extractor does
The Caption Keyword Extractor separates a caption into what is already tagged and what is not, then suggests tags for the meaningful words your caption uses but does not tag.
How it works
Hashtags are matched and removed first so they do not distort the word frequency of the caption text. The remaining prose is analysed and suggestions are filtered against tags already present.
- 1Paste the full caption including its hashtags.
- 2Set the maximum number of keywords.
- 3Run the extraction.
- 4Review suggestions that are not already used.
- 5Add the ones that genuinely describe the post.
Worked example
A caption about a flat white already tagged #coffee suggests #mornings and #flatwhite as untagged concepts.
Who uses it
- Improving a draft caption before posting
- Auditing an old post's tagging
- Finding concepts your caption mentions but never tags
- Building a set from your best captions
Best practices
- Write the caption first, then extract — not the reverse.
- Add only suggestions that truly describe the post.
- Do not tag every word; captions should read naturally.
- Save recurring suggestions as a collection.
Honest limitations
Short captions give little signal, and the tool cannot judge whether a suggested tag has an active community behind it.
Frequently asked questions
- Why exclude existing tags from suggestions?
- So you only see genuinely new options.
- Does emoji affect results?
- Emoji are ignored during tokenisation.
- Can it read a post from a link?
- No, paste the caption text yourself.