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Content to Tags

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

Paste some text above to extract tag candidates.

How this tool works

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.

When to use it

  • Turning a finished article into tags and hashtags at once.
  • Extracting tags from a product description before listing it.
  • Deriving hashtags from a caption instead of reusing a saved block.

Example

Input

a 400-word article

Output

ranked tags plus matching hashtags

What it does not do

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.