Keyword Density Checker

About this tool

Keyword density analysis helps you balance optimization against over-stuffing — two problems that sit on opposite ends of the same ranking risk spectrum. Too little mention of your target topic and Google may not see the relevance signal; too much and the page reads as keyword stuffing. The Keyword Density Checker counts single words in the text you paste and shows the 15 most frequent ones with their count and density, updating as you type. By default it strips about 40 common English stopwords (the, and, is, of, with, you and similar); untick the option to count every word. Density is each word's count divided by the number of tokens analyzed, which is shown under the table — so stripping stopwords also shrinks the denominator. Words are split on anything other than a–z, 0–9 and apostrophes, so accented letters break words apart and non-Latin scripts are not counted. Phrases (bigrams and trigrams) are not analyzed.

Why use it

• Live Word Frequency: The table refreshes on every keystroke, listing the 15 most frequent single words with their count and a density to two decimal places.

• Stopword Toggle: A built-in list of about 40 common English words is removed by default, keeping the table focused on content words; untick the box to include them.

• Clear Density Math: Density is count ÷ tokens analyzed × 100, and the tokens figure is shown, so you can see exactly what each percentage is measured against.

• Overuse Spot-Check: When one word sits far above the rest of the table, the repetition is visible before you publish, so you can swap in synonyms or rephrase.

• Private by Default: Text is analyzed in your browser; nothing is uploaded.

How to use

1. Paste your article, page body or other text into the Input text field
2. Leave "Strip common stopwords" ticked to drop words like the, and and of, or untick it to count every word
3. Read the Results table, which updates as you type: the top 15 words with Count and Density
4. Check the Tokens analyzed total under the table — each density is that word's count divided by this number
5. Edit your copy and watch the table change until no single word dominates

When it helps

• When writing a new piece of content and wanting to verify your target keyword appears at a natural frequency
• When editing an existing page that is ranking low and suspecting thin or unfocused keyword coverage
• When an SEO audit flags a page for potential keyword stuffing and you need to identify the over-used terms
• When comparing your content density against a competitor page to identify topic coverage differences
• When onboarding new content writers and demonstrating what natural keyword frequency looks like in practice
• When reviewing product descriptions for e-commerce pages where keyword balance is critical for category ranking

Examples

Password security matters. Strong password security starts with a long, unique password.

password 3 (30.00%), security 2 (20.00%), matters 1 (10.00%), strong 1 (10.00%), starts 1 (10.00%), long 1 (10.00%), unique 1 (10.00%). Tokens analyzed: 10

Same text with "Strip common stopwords" unticked

password 3 (25.00%), security 2 (16.67%), matters 1 (8.33%), strong 1 (8.33%), starts 1 (8.33%), with 1 (8.33%), a 1 (8.33%), long 1 (8.33%), unique 1 (8.33%). Tokens analyzed: 12

Café menu: crème brûlée

caf, menu, cr, me, br, l, e — each 1 (14.29%). Tokens analyzed: 7

Tips

• Analyze competitor pages that rank on page one for your target keyword and compare their top words with your own draft
• Untick Strip common stopwords once to see how much of your text is filler words
• Avoid stuffing by using synonyms and related terms rather than repeating the exact keyword — modern NLP-based ranking rewards semantic variety
• Run the analysis on just the body text (strip navigation, header, footer) for accurate density figures that reflect what crawlers weight most heavily
• Phrases are not counted — for a multi-word keyword, compare the counts of its words and search your text for the exact phrase

Frequently Asked Questions

Glossary

Keyword Density

The percentage of times a specific keyword or phrase appears in a text relative to the total word count, used as a rough measure of content relevance to a topic.

Bigram

A two-word consecutive sequence in a text, used in keyword density analysis to identify multi-word phrase frequency alongside single-word term counts.

Stop Words

Common grammatical words (the, and, is, in, of) excluded from keyword frequency analysis because they occur so frequently that including them skews density calculations.

TF-IDF

Term Frequency-Inverse Document Frequency — a statistical measure that weights how important a word is in one document relative to how common it is across many documents, more nuanced than raw density.

Semantic Density

The breadth of topically related terms and phrases in content, which modern search engines use alongside keyword frequency to assess content depth and relevance.

Keyword Stuffing

The practice of excessively repeating target keywords in content to manipulate search rankings, now penalized by Google's quality algorithms as a low-quality content signal.