🔍 Keyword Density Checker
By ToolNimba SEO Team · Updated 2026-06-19
Top terms by density.
| # | Keyword | Count | Density |
|---|
Enter some text above to build the keyword density table.
A keyword density checker shows how often each word or phrase appears in your content as a share of the total word count. Paste your article or page copy, choose single words or two- and three-word phrases, and the tool builds a ranked table of counts and percentages. Use it to confirm your target keyword is present without overusing it, and to spot accidental repetition before you publish. Everything runs in your browser, so your draft never leaves your device.
What is the Keyword Density Checker?
Keyword density is the percentage of times a given word or phrase appears in a piece of text relative to the total number of words. The calculation is simple: divide the number of times the keyword occurs by the total word count, then multiply by 100. If your target keyword appears 6 times in a 400-word article, the density is 6 ÷ 400 × 100 = 1.5%. For multi-word phrases the denominator changes slightly, because a 600-word article contains 599 possible two-word phrases and 598 three-word phrases, so the tool divides each phrase count by the number of phrase slots rather than by the raw word count.
Density was once treated as a precise ranking lever, and some old guides still quote a magic figure such as 2% to 3%. Modern search engines do not work that way. Google and other engines use language models that understand synonyms, related entities and context, so hitting an exact percentage does nothing on its own. There is no official target density, and stuffing a keyword to reach one is more likely to hurt than help. What density is genuinely useful for is the opposite: as a quick health check that you have used your topic naturally, have not forgotten to mention it at all, and have not repeated one phrase so aggressively that the writing reads badly.
The stop-word option matters here. Function words such as the, and, of and to are usually the most frequent tokens in any English text, so an unfiltered list is dominated by them and tells you little about your subject. Filtering stop words pushes the meaningful nouns and phrases to the top, which is what you actually want to review. Switching between single words and two- or three-word phrases is the other key control: a single-word view can make a keyword look rare, while the matching multi-word phrase (your real target term) sits much higher once you look at two- and three-word groupings.
When to use it
- Confirming your primary keyword and its variations appear in a new blog post without overusing any one of them.
- Auditing a page that feels repetitive to find which word or phrase is being over-repeated.
- Checking a product or category page so the product name and key attributes are mentioned naturally.
- Comparing two drafts to see which uses the target topic more evenly across the copy.
- Reviewing two- and three-word phrases to make sure your exact target phrase actually appears, not just its component words.
How to use the Keyword Density Checker
- Paste or type your content into the text box.
- Choose the phrase length: single words, two-word phrases, or three-word phrases.
- Optionally tick "Ignore common stop words" to push meaningful terms to the top.
- Pick how many rows to show (top 10, 20, or 50).
- Read the ranked table of counts and density percentages, plus the total word count above it.
Formula & method
Worked examples
Single-word density for the sentence: "Buy organic coffee beans. Our organic coffee is the best coffee online."
- Lowercase and strip punctuation, then split into words: buy, organic, coffee, beans, our, organic, coffee, is, the, best, coffee, online
- Total words N = 12
- "coffee" appears 3 times → density = 3 ÷ 12 × 100 = 25.00%
- "organic" appears 2 times → density = 2 ÷ 12 × 100 = 16.67%
- Every other word appears once → density = 1 ÷ 12 × 100 = 8.33% each
Result: "coffee" 25.00%, "organic" 16.67%, all other words 8.33%
Two-word phrase (2-gram) density for the same 12-word sentence.
- A 12-word text contains 12 − 2 + 1 = 11 two-word phrases (the denominator)
- List the phrases in order: "buy organic", "organic coffee", "coffee beans", "beans our", "our organic", "organic coffee", "coffee is", "is the", "the best", "best coffee", "coffee online"
- "organic coffee" appears 2 times → density = 2 ÷ 11 × 100 = 18.18%
- Each remaining phrase appears once → density = 1 ÷ 11 × 100 = 9.09% each
Result: "organic coffee" 18.18% (the top two-word phrase), every other phrase 9.09%
How a keyword count maps to density in articles of different lengths
| Article length | Keyword used 3x | Used 6x | Used 10x |
|---|---|---|---|
| 300 words | 1.00% | 2.00% | 3.33% |
| 500 words | 0.60% | 1.20% | 2.00% |
| 800 words | 0.38% | 0.75% | 1.25% |
| 1,500 words | 0.20% | 0.40% | 0.67% |
What different density readings usually signal (rule of thumb, not a ranking rule)
| Density | Typical interpretation |
|---|---|
| 0% (after stop-word filter) | Target keyword may be missing entirely, add it naturally. |
| Roughly 0.5% to 2% | Keyword is present and reads naturally for most content. |
| Above about 3% to 4% | Possibly repetitive, re-read and vary with synonyms. |
| Very high for one phrase | Risk of keyword stuffing, rewrite for readers. |
Common mistakes to avoid
- Chasing a magic density percentage. There is no official target density and no percentage that guarantees rankings. Search engines understand context and synonyms, so writing to hit exactly 2% wastes effort and can make copy read unnaturally. Treat density as a sanity check, not a goal.
- Reading single-word density and ignoring phrases. A multi-word target such as "running shoes" can look weak when you only count single words, because "running" and "shoes" are split apart. Switch to the two-word phrase view to see how often the exact phrase actually appears.
- Leaving stop words in the count. Without the stop-word filter the top of the list is almost always the, and, of and to. These say nothing about your topic. Tick the filter to surface the meaningful nouns and phrases you came to check.
- Forgetting that phrase counts use a different denominator. A two-word phrase is divided by the number of phrase slots (total words minus one), not by the raw word count, so its percentage is not directly comparable to a single-word density. Compare like with like.
Glossary
- Keyword density
- The number of times a word or phrase appears divided by the total word count, expressed as a percentage.
- N-gram
- A contiguous run of n words. A 1-gram is a single word, a 2-gram (bigram) is a two-word phrase, a 3-gram (trigram) is a three-word phrase.
- Stop word
- A very common function word such as the, and, of or to that carries little topical meaning and is often filtered out of analysis.
- Keyword stuffing
- Overloading content with a keyword to manipulate rankings, a practice that harms readability and can trigger search penalties.
- Tokenization
- Splitting text into individual words by lowercasing it and removing punctuation, the first step before counting.
Frequently asked questions
What is a good keyword density?
There is no official figure, but most natural content lands somewhere between roughly 0.5% and 2% for its main keyword. The right number depends on length and topic, so treat density as a check that your keyword is present and not over-repeated rather than a target to hit. Readability for humans always comes first.
How is keyword density calculated?
Keyword density is the keyword count divided by the total word count, times 100. For example, a word used 6 times in a 400-word article has a density of 6 ÷ 400 × 100 = 1.5%. For two- and three-word phrases the tool divides by the number of phrase slots instead, which is the total words minus the phrase length plus one.
Does keyword density still matter for SEO?
Not as a direct ranking factor. Modern search engines use language models that understand context, synonyms and related entities, so no specific density score moves rankings. Density is still useful as a writing aid: it confirms you have covered your topic and flags accidental over-repetition before you publish.
Why should I ignore stop words?
Stop words like the, and, of and to are the most frequent words in nearly any English text, so an unfiltered list is dominated by them and hides your real topic. Ticking the stop-word filter pushes the meaningful nouns and phrases to the top of the table, which is what you actually want to review.
What is the difference between single words and phrases here?
Single-word mode counts each word on its own, while two- and three-word modes count contiguous phrases (n-grams). Use phrase mode when your target keyword is more than one word, because the single-word view splits it apart and can make an important phrase look rare.
Is my text uploaded anywhere?
No. The entire calculation runs in your browser with JavaScript, so your content is never sent to a server or stored. You can use it safely on unpublished drafts and confidential copy, and it works offline once the page has loaded.