Keyword Density Checker
Count word frequency and keyword density in your content.
Total Words: 0Unique Terms: 0Top Density: 0%
Top keywords
| Keyword | Count | Density |
|---|---|---|
| tools | 4 | 14.81% |
| client-side | 2 | 7.41% |
| data | 2 | 7.41% |
| browser | 1 | 3.70% |
| device | 1 | 3.70% |
| entirely | 1 | 3.70% |
| future | 1 | 3.70% |
| keep | 1 | 3.70% |
| leaves | 1 | 3.70% |
| never | 1 | 3.70% |
| online | 1 | 3.70% |
| privacy-first | 1 | 3.70% |
| private | 1 | 3.70% |
| run | 1 | 3.70% |
Using keyword density wisely
Keyword density is how often a term appears relative to the total word count. It's a useful sanity check — it surfaces what your copy is actually aboutand reveals accidental over-use. There's no magic target; modern search engines reward natural, comprehensive writing, and densities above roughly 3–4% for a single phrase can read as keyword stuffing. Switch to 2- or 3-word phrases to spot the key topics, and toggle stop words to filter out filler. All analysis happens locally in your browser.
Built and maintained by Meet Shah · Last updated
What this tool is used for
- Checking whether a draft over-uses one phrase to the point of reading badly.
- Finding out which words a piece actually emphasises.
- Comparing a draft against a competitor's page on term coverage.
- Spotting an accidentally repeated phrase in long copy.
- Reviewing a piece written to a brief that specified terms.
Frequently Asked Questions
- What is keyword density?
- The share of total words a term accounts for. It was a genuine ranking signal in the late 1990s, is not one now, and remains useful only as a diagnostic — an unnaturally high number usually indicates writing that reads badly to a human.
- Is there an optimal percentage?
- No, and any specific target is a myth. Google has said repeatedly there is no ideal density, and modern retrieval works on semantic relevance rather than term counts. Writing naturally lands wherever it lands, and that is the correct answer.
- What is keyword stuffing?
- Repeating terms unnaturally to manipulate ranking — including hidden text and irrelevant lists of city names. It is a documented spam policy violation with a manual-action consequence, which is a far larger risk than any density benefit ever was.
- What should I look at instead?
- Whether the page covers the topic — related terms, questions a reader would have, and entities a search engine associates with the subject. That is what semantic analysis measures, and it correlates with performance in a way that counting one term does not.
- Is the tool still worth running?
- As a check on your own prose, yes. A term at 6% density is a signal that the writing is repetitive, which is a readability problem worth fixing on its own terms — the SEO framing is obsolete but the editorial one is not.
Common errors and gotchas
- Treating a density figure as a ranking target, which search engines stopped rewarding many years ago.
- Writing to hit a percentage, which produces exactly the unnatural repetition that gets penalised.
- Ignoring stop words in the count, which makes every result look the same.
- Counting a phrase and its variants separately, which understates the real emphasis.
- Optimising a page for one term when the query it should answer is phrased differently.
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