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Keyword Density Checker
Measure word and phrase frequency, then review the wording in context. There is no universal ideal percentage.
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What is a keyword density analyzer?
A keyword density analyzer counts how often each word and phrase appears in a piece of writing and expresses it as a percentage of the total word count. Paste a draft into this keyword density tool checker and it returns the top 30 terms that appear at least twice - single words and two-word phrases - each with its raw count and density. The frequency calculation runs in your browser without a text-analysis API request.
How to interpret word frequency
The tool reports counts and percentages without grading a preferred range. A frequently used product name may be natural in one article and awkward in another. Read the surrounding sentences before deciding whether to revise them.
Treat density as a diagnostic, not a target. This tool does not establish a ranking benefit from a particular percentage. What the number is genuinely good at is catching two failure modes: a draft that never actually says the thing it is meant to be about, and a draft where a writer (or a model) has jammed the same phrase into every third sentence.
Read the two-word phrases first
The bigram list is usually more informative than the single-word list. Single words are noisy - 'seo' appearing 40 times tells you almost nothing. Repeated phrases can suggest topics to inspect, but their presence does not establish factual accuracy, useful coverage or search intent. Read the article before judging those qualities.
The results omit short tokens, a built-in English stop-word list, and terms appearing only once. Non-English stop words may remain. Two-word phrases use actual adjacent tokens; filtering does not join words that were separated in the input.
Fixing a page that reads over-optimized
- Replace repeats with pronouns and natural shorthand - after the first mention, 'the tool' or 'it' reads better than the full phrase.
- Use descriptive headings where they help readers; do not force exact-match terms into them.
- Swap literal repeats for related terms and entity names; coverage of a topic beats frequency of a string.
- Read the paragraph aloud. Keyword stuffing is almost always audible before it is measurable.
- If the page already answers its intended question, do not add mentions just to change the percentage.
Where this data comes from
Analysis runs locally in your browser. Text is Unicode-normalized and lowercased, then split into letter/number tokens while preserving accents and non-Latin scripts. Total token count includes short and stop words. Results omit tokens of two characters or fewer, a built-in English stop-word list, and terms appearing only once. Two-word phrases use original adjacency. Density is count divided by total tokens. This is token frequency, not language-aware segmentation for every script; the frequency calculation does not call a text-analysis API.
Frequently asked questions
What is a good keyword density?
There is no universal ideal percentage. This tool measures frequency without assigning normal, high or low SEO grades. Review whether repeated terms clarify the topic or interrupt natural reading.
Is keyword density a Google ranking factor?
Not as a number. This tool does not measure ranking factors or predict search position. Density still matters indirectly: a page with almost no mention of its subject reads as off-topic, and a page that repeats one phrase unnaturally reads as spam to both readers and quality systems. The metric is a writing check, not a lever.
How does this keyword density analyzer count words?
It normalizes Unicode, lowercases text and identifies letter/number tokens. The denominator includes all tokens. Results exclude short tokens, English stop words and one-off terms; two-word phrases retain original adjacency. Accents and non-Latin letters are preserved, but this is not language-aware segmentation for every script.
Why do words like 'the' and 'with' not appear in my results?
They are filtered by a stop-word list. Function words dominate any frequency count in English - they would fill the entire top 30 and tell you nothing about the subject of the page. Removing them leaves the terms that reflect an actual editorial choice, which is what you want to inspect.
What counts as keyword stuffing?
Repeating a phrase in ways a person would not write it: the same term in consecutive sentences, lists of city or product variations, or the phrase forced into alt text, headings and the first line of every paragraph. Google's spam policies name keyword stuffing explicitly. A high count alone does not establish a violation; review how the phrase is used.
Should every page use the same density?
No. Short pages hit higher percentages with fewer mentions, and technical topics repeat their key nouns more than lifestyle writing does. Compare a page against itself over successive edits rather than against a fixed number, and compare the bigram list against what the topic actually requires.
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