How to use it
Paste the text and run the tool. Results list single words and multi-word phrases ordered by frequency.
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Keyword Density Analyzer
Enter the relevant inputs, run the tool safely, and review a measurable result immediately.
Local utility
This tool does not call an external service. Sensitive inputs are not persisted.
What this tool checks
The text is tokenised, very common function words are dropped, and the remaining words and phrases are counted against the total word count. Density is occurrences divided by total words.
How to read the result
Density is a diagnostic, not a target. If a page's most frequent phrases do not match its subject, the copy has drifted. Chasing a specific percentage does not help: Google has evaluated meaning and context rather than term counts for many years.
Examples
Paste a service page before publishing and check whether its most frequent phrases match the subject you intended.
Use cases
Useful for content editors, SEO teams and anyone tightening the focus of an existing page.
Common mistakes
The most common mistake is treating an old rule of thumb such as "aim for 2%" as a goal. No such threshold was ever confirmed, and writing toward it makes copy read badly. The second is seeing a high count for your own brand name and treating it as a problem, which on a corporate page it usually is not.
What this tool cannot see
The tool sees only the text you paste. It does not read headings, link anchors, image alt text or competing pages, and it does not merge stems or synonyms: "software" and "softwares" count separately.
Privacy and data handling
Text is discarded after processing; only an anonymised run record is kept.
Frequently asked questions
What is the ideal keyword density?
There isn't one. Google has never published a density threshold and modern evaluation is based on meaning, not term counts. Use density as a signal that copy has drifted off topic, not as a goal.
Will a high density get me penalised?
High density alone is not a penalty trigger. The problem appears when repetition makes the text read unnaturally to a person.
Does it group synonyms?
No. Each word is counted as written; no stemming or synonym grouping is applied.