Free tool
Keyword Density Checker
Paste your content and see which words and phrases you actually use, how often, and at what density. One, two and three-word phrases, with stop words filtered out, plus a verdict on your focus keyword. Free, and nothing you paste ever leaves your browser.
How to check keyword density
Three steps, no signup
Keyword density is simply how often a term appears as a percentage of the total words on a page. Checking it takes about thirty seconds.
01
Paste your content
Copy the visible text of the page you are checking, body copy and headings, and paste it into the box. Leave out the navigation and footer, since those repeat on every page and will skew the result.
02
Set your focus keyword
Type the term you are actually targeting. You get its exact count, its density, and a plain verdict on whether it is under-used, about right, or overdone.
03
Read the table
One, two and three-word phrases are counted separately. Two and three-word phrases usually tell you far more about what a page is really about than single words do.
Worth knowing
What the number actually tells you
There is no magic percentage
Google has never published a target density and does not use one as a ranking factor. What the number is genuinely useful for is spotting the two failure modes: a page that never states its topic plainly, and a page that repeats it so often it reads badly.
Phrases beat single words
A page can mention running and shoes constantly without ever saying running shoes. Two and three-word phrase counts show whether you are covering the actual query rather than the words that happen to be in it.
Stop words distort the picture
The, and, of and to will always top an unfiltered list, which tells you nothing. This tool filters them out by default, and you can switch them back on if you want the raw counts.
FAQ
Questions about keyword density
What is keyword density?
Keyword density is how often a word or phrase appears on a page, expressed as a percentage of the total word count. If a 1,000 word page uses a term 12 times, its density is 1.2 per cent.
How do you check keyword density?
Paste the visible text of the page into the box above and the tool counts every word and phrase for you. Doing it by hand means counting occurrences of the term and dividing by the total number of words on the page.
What is a good keyword density for SEO?
There is no official target. In practice, most pages that read naturally land somewhere between 0.5 and 2.5 per cent for their main term. Treat anything above roughly 4 per cent as a prompt to reread the copy out loud rather than as a rule you have broken.
Is keyword density still a ranking factor?
Not as a number. Google stopped rewarding a specific ratio a long time ago and now works from meaning and context rather than repetition. Density is still a useful editing signal, which is a different thing from a ranking factor.
What counts as keyword stuffing?
Repeating a term so often that the copy stops reading like it was written for a person. Google names it explicitly in its spam policies. High density is a symptom worth checking, not the definition, so read the sentences before you judge the number.
Should stop words be included in the count?
For the density of your focus keyword, yes, they are part of the total word count. For the frequency table, no, which is why they are filtered by default. An unfiltered list is always topped by the, and and of, which tells you nothing about the page.
What are two and three-word phrases?
Also called bigrams and trigrams. Instead of counting single words, the tool counts consecutive pairs and triples, so keyword density checker is counted as one phrase rather than three unrelated words. This is usually the most useful part of the report.
Is this keyword density checker free?
Yes, with no signup and no limits. The whole analysis runs in your browser, so the text you paste is never uploaded or stored anywhere.
Density looks fine but the page still is not ranking?
That is usually a sign the problem is somewhere else. Send me the URL and I will tell you what I would look at first.