All tools Keyword Density Checker ● Live Developer Tools Keyword density is a content review signal only. It does not guarantee rankings or replace search intent analysis.

How Keyword Density Checker works

  1. Paste the page copy or draft text you want to review.
  2. Review repeated single words, two-word phrases, and three-word phrases.
  3. Look for accidental repetition, unnatural wording, or missing topic coverage.
  4. Rewrite the content for clarity first; use density numbers only as a supporting signal.
  • Audit a landing page draft before publishing it.
  • Find repeated phrases that make copy sound stuffed or robotic.
  • Compare two versions of product or tool copy for topical focus.
  • Check whether important terms appear naturally in a page section.

Pasted text is analyzed locally in your browser and is not uploaded or stored by Small Web Apps.

  • There is no universal keyword density percentage that guarantees ranking.
  • The tool does not fetch live URLs or evaluate search intent by itself.
  • Good rankings depend on usefulness, intent match, authority, internal links, and technical quality.

Keyword Density Checker

Keyword Density Checker helps writers and site owners inspect repeated words, two-word phrases, and three-word phrases in page copy. It is useful for quick SEO reviews without uploading drafts to another service.

Keyword Density Checker Runs locally

SEO text audit

Paste page copy

Density report

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Add text to see repeated keywords and phrases.
Guide

How to use

  1. Paste the page copy or draft text you want to review.

  2. Review repeated single words, two-word phrases, and three-word phrases.

  3. Look for accidental repetition, unnatural wording, or missing topic coverage.

  4. Rewrite the content for clarity first; use density numbers only as a supporting signal.

Scenarios

Use cases

  • Audit a landing page draft before publishing it.

  • Find repeated phrases that make copy sound stuffed or robotic.

  • Compare two versions of product or tool copy for topical focus.

  • Check whether important terms appear naturally in a page section.

Good to know

Limitations & Privacy

Private by design

Pasted text is analyzed locally in your browser and is not uploaded or stored by Small Web Apps.

  • There is no universal keyword density percentage that guarantees ranking.

  • The tool does not fetch live URLs or evaluate search intent by itself.

  • Good rankings depend on usefulness, intent match, authority, internal links, and technical quality.

FAQ

Frequently asked questions

Is keyword density a ranking guarantee?

No. It is only a content audit signal. Useful content and search intent matter more than a fixed percentage — modern search engines evaluate topical relevance and user satisfaction far more than exact keyword ratios.

Does this analyze a live URL?

No. Paste the text you want to inspect. The tool does not crawl pages or fetch external sites, so it works entirely offline once loaded.

What counts as "too high" keyword density?

There's no fixed universal threshold, but repetition that reads unnaturally to a human — the same phrase every other sentence — is a reliable red flag regardless of the exact percentage shown.

Why does the tool show two-word and three-word phrases, not just single words?

Multi-word phrase repetition often reveals unnatural or keyword-stuffed writing patterns that single-word counts miss, since a phrase like "best budget laptop" repeating verbatim is a stronger stuffing signal than the word "laptop" alone appearing often.

Should I remove all repeated words the tool flags?

No — some repetition is natural and even necessary for topical clarity. Use the results to spot excessive or awkward repetition, not to mechanically minimize every repeated word.

Does ignoring stopwords change the results meaningfully?

Yes. Stopwords (the, and, of, a) naturally dominate raw word counts in any language. Filtering them out surfaces the substantive, topic-relevant terms that actually matter for a content review.

Can I use this on non-English text?

The word- and phrase-counting logic works on any space-separated text, but the built-in stopword list is tuned for English, so non-English text may show common function words as high-frequency terms.