Tag Text Extractor
Extract tag candidates from any block of text.
Paste an article or caption and get tags plus hashtags.
An article, caption, transcript, description or product copy. The text stays in your browser.
0 words analysed · 0 terms found
Content to Tags runs the full analysis pipeline over pasted text: tokenising, filtering stop words, counting single words and adjacent word pairs, then returning both plain tags and hashtag versions of the same results. Everything happens locally in your browser.
Input
a 400-word article
Output
ranked tags plus matching hashtags
Frequency analysis reflects what your text repeats. It is a transparent heuristic, not a semantic model, and it will not invent terms your text never mentions.
Extract tag candidates from any block of text.
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Short-text extraction tuned for captions and descriptions.
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