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Keyword Frequency Analyzer

Count how often each word and phrase appears in your text.

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What the Keyword Frequency Analyzer does

The Keyword Frequency Analyzer reports exact occurrence counts and each term's share of the total word count, alongside the two-word phrases that repeat in your text.

How it works

The text is tokenised locally, filtered by your rules, and counted. Percentages are computed against the total token count of the text you pasted — a real measurement, not an industry benchmark.

  1. 1Paste the text you want to measure.
  2. 2Set the minimum word length and stop-word rule.
  3. 3Generate the frequency table.
  4. 4Compare your intended focus term against the top rows.
  5. 5Adjust your draft if a filler word dominates.

Worked example

In a 900-word article, 'compost' appearing eighteen times shows as '18× (2.00% of all words)'.

Who uses it

  • Checking whether a draft over-repeats a term
  • Finding the actual emphasis of a finished piece
  • Auditing a transcript before tagging
  • Comparing two drafts you paste in turn

Best practices

  • Analyse the final draft, not an outline.
  • Do not chase a target percentage — write naturally.
  • Watch for filler words outranking your topic.
  • Use the phrase group to find natural tag candidates.

Honest limitations

Percentages describe your text only. They are not a ranking signal, a benchmark or an industry average, and Tagzy will not present them as one.

Frequently asked questions

Is there an ideal density?
No credible fixed number exists. Use the figures to spot over-repetition, nothing more.
Why do totals include stop words?
The denominator is every token so percentages reflect the real document.
Can I analyse a URL?
No, paste the text yourself — Tagzy does not fetch pages.

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