Analyze keyword frequency, density, and distribution in your content for optimal SEO performance
Paste your text or enter a URL to analyze keyword density and distribution
Total Words
Unique Keywords
Highest Density
Overused Keywords
| Keyword | Count | Density | Visualization |
|---|
Use our Keyword Density Checker to analyze the frequency and distribution of keywords in your text or web page. This free tool helps you find keyword stuffing issues, improve content relevance, and boost your on-page SEO.
Keyword density is the percentage of times a keyword or phrase appears in your content relative to the total word count. It helps search engines determine the topic relevance of a page.
Formula: Keyword Density = (Keyword Count / Total Words) × 100
Analyze keyword usage in any block of text or webpage with precision and accuracy.
Supports 1-word, 2-word, and 3-word phrase detection for thorough analysis.
Detect overused or underused SEO terms to optimize your content strategy.
Visual density indicators help spot keyword stuffing at a glance.
Export results to CSV for detailed audits or reports.
Fully responsive design that works on any device.
Instant keyword density reports - Get detailed insights in seconds without any registration.
No login required, no tracking - Your content remains private and secure.
Optimize content effectively - Perfect for blog posts, SEO copy, and product descriptions.
Mobile-friendly, fast, and accurate - Access anywhere, anytime with reliable results.
Great for professionals - Essential for SEO specialists, content writers, and digital marketers.
Explore more free tools: Keyword Suggestion Tool, Related Keywords Finder, Keyword Competition Checker.
Keyword density is the share of a text made up by a particular word or phrase: density = (times the phrase appears ÷ total words) × 100. It matters because it sits exactly on the line between writing clearly about a topic and stuffing a page until it reads badly and risks an over-optimisation penalty. This checker does the counting properly: paste your text, or point it at a web page, and it counts every 1-word, 2-word and 3-word phrase, showing how many times each appears and what percentage of the whole it makes up. Visual indicators flag the phrases that repeat too often, so problems show up at a glance — and the terms you underuse stand out just as clearly, which is often the more useful discovery.
An 800-word blog post about email marketing contains the phrase “email marketing” 12 times: 12 ÷ 800 × 100 = 1.5% density — squarely in the natural range for a main topic phrase. The single word “email”, though, appears 26 times, a density of 3.25%, and the checker flags it; swapping some mentions for “newsletter”, “campaign” and “your list” brings the wording back to how a person would actually write. The 3-word table earns its keep in the second example: a product page repeats “buy running shoes” in the title, two headings and four times in 300 words of copy. No single word looks excessive, but the phrase table shows the exact wording Google sees — and the page gets edited before it goes live, not after it underperforms.
There is no magic percentage that guarantees rankings, and this page will not invent one: natural writing for a main keyword usually lands around 1–2%. The checker’s job is to keep your phrasing natural and clearly on-topic. Writers run it over blog posts before publishing, SEO specialists over landing pages, and marketers over product descriptions. Your text stays in your browser — free, with no sign-up.
Related: find the keywords to write about in the first place with the Keyword Suggestion Tool, see where the finished page ranks with the Keyword Position Checker, or build the topic out around your main term with the Related Keywords Finder.
There is no official ideal. For a main keyword, natural writing usually lands around 1–2%; much higher often reads as stuffing. Use the figure as a sense check, not a target to chase.
Both. It counts 1-word, 2-word and 3-word phrases, which matters because stuffing usually hides in repeated phrases rather than single words.
Yes. As well as pasting text, you can analyse a web page directly, which is handy for reviewing your own published pages or a competitor’s.
Yes. Export the analysis to CSV for audits, client reports or before-and-after comparisons when you edit a page.