Analyse text for one, two and three-word keyword frequency and density.
Analysed locally in your browser — your content is never uploaded.
How do you calculate keyword density?
Density = (number of times a keyword or phrase appears ÷ total words) × 100. The tool tokenises your text, optionally removes stop words, then counts single words plus two and three-word phrases. For example, if "running shoes" appears 6 times in a 600-word article, its density is 6 ÷ 600 × 100 = 1%. A natural 1–2% for your main keyword is a common guideline.
Understanding your result
There is no perfect target, but a natural density of roughly 1–2% for your main keyword is a common guideline. Much higher can look like keyword stuffing, which search engines may penalise.
Formula and method
Density = (number of times a keyword or phrase appears ÷ total words) × 100. The tool tokenises your text, optionally removes common stop words, then counts single words and two and three-word phrases.
Worked example
If “running shoes” appears 6 times in a 600-word article, its density is 6 ÷ 600 × 100 = 1%.
How to use this tool
- Paste your article or page copy.
- Choose whether to ignore common stop words.
- Review the keyword and phrase tables and density percentages.
Common mistakes to avoid
- Chasing an exact density number instead of writing naturally for readers.
- Forgetting that very short text gives misleadingly high percentages.
About the Keyword Density Checker
The Keyword Density Checker analyses your text and shows how often each word and phrase appears, along with its density as a percentage of the total. It counts single keywords plus two and three-word phrases so you can see what your content is really about.
Who should use this tool
Bloggers, content writers, SEOs and students checking that a page focuses on its target keyword without over-using it.
Benefits
- See top single keywords and two and three-word phrases at a glance.
- Optionally ignore common stop words for cleaner results.
- Spot accidental keyword stuffing before you publish.
- Export the full keyword list as CSV; analysis stays in your browser.
Practical use cases
- Checking a draft article targets its main keyword naturally.
- Comparing your content’s focus against a competitor’s page text.
- Finding over-used words to vary your writing.
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Frequently asked questions
What is a good keyword density?
There is no official figure, but around 1–2% for your primary keyword is a widely used guideline. Prioritise natural, useful writing over hitting a number.
What do stop words mean here?
Stop words are very common words such as “the”, “and” and “of”. Ignoring them hides the noise so your meaningful keywords stand out.
Is my content uploaded anywhere?
No. All analysis happens locally in your browser and nothing is sent to a server.