Keyword Density Checker
Analyze 1-word, 2-word, 3-word, and 4-word keyword density with stop-word filters, exact frequency counts, and live lexical statistics in your browser.
Single-Word (Unigram) Frequency
Ranked by total occurrence count and exact density percentage.
Paste or type text above to generate keyword frequency and density breakdown.
Or click the Sample SEO Article or Sample Product Copy buttons above to instantly inspect live multi-word density statistics.
Itemized Plaintext Audit Receipt
Copyable monospace audit report for documentation, client handoffs, and editorial logs.
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KEYWORD DENSITY AUDIT REPORT - OCTALONE
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Generated: 2026-10-07T00:00:00.000Z
Privacy: 100% Client-Side Evaluation (Zero Server Upload)
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DOCUMENT METRICS SUMMARY:
• Total Words: 0
• Unique Words: 0
• Total Characters: 0
• Estimated Read Time: < 1 min
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ANALYSIS CONFIGURATION:
• N-Gram Order: 1-Word (Unigram)
• Stop Words Filter: Active (Excluded)
• Case Sensitivity: Disabled
• Min Word Length: 2 characters
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RANK | KEYWORD / PHRASE | COUNT | DENSITY (%)
-----+----------------------------------+-------+------------
No keywords found matching the current filter criteria.
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Report generated by OctalOne Keyword Density Checker (Offline-First)
================================================================Understanding Keyword Density & Multi-Word N-Grams
Why multi-word phrase analysis matters more than raw single-word repetition in modern search optimization.
The Shift from Single Words to Natural Phrases
Early search engines relied heavily on single-word repetition, which often resulted in awkward, unnatural keyword stuffing. Modern search algorithms evaluate semantic relationships, entities, and context.
Analyzing 2-Word (Bigrams), 3-Word (Trigrams), and 4-Word (Quadgrams) gives authors and editors a true reflection of the phrases readers encounter, ensuring your primary topics are covered thoroughly without artificial over-optimization.
The Role of Stop-Word Filtering
English stop words (such as the, and, is, of, in, and to) naturally make up over 40% to 50% of any standard text.
Filtering stop words isolates substantive nouns, verbs, and domain terms so you can identify your actual core topics. However, toggling stop words back on allows you to verify natural multi-word idioms and conversational search phrases.
| N-Gram Order | Linguistic Term | Example Phrase | SEO & Editorial Significance |
|---|---|---|---|
| 1-Word | Unigram | marketing | Core topic identifier; baseline vocabulary distribution |
| 2-Word | Bigram | digital marketing | Primary search intent phrases and product categories |
| 3-Word | Trigram | content marketing strategy | Long-tail search topics and substantive section themes |
| 4-Word | Quadgram | search engine optimization tips | Specific user query questions and call-to-action blocks |
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Frequently Asked Questions
Keyword density measures the percentage frequency of a specific word or phrase relative to the total number of words in a document. For single words (unigrams), it is calculated as (Keyword Count / Total Words) × 100%. For multi-word phrases (N-grams), density is calculated against the total possible phrase sequences of that length.
An N-gram is a contiguous sequence of N words. A 2-word phrase is a bigram (e.g., 'digital marketing'), a 3-word phrase is a trigram (e.g., 'content marketing strategy'), and a 4-word phrase is a quadgram (e.g., 'search engine optimization tips'). Analyzing multi-word N-grams reveals actual search queries and reader phrasing far more effectively than looking at isolated single words.
Stop words are high-frequency grammatical functional words such as 'the', 'is', 'and', 'in', 'of', and 'to' that convey little topic-specific search intent. Filtering them out isolates substantive nouns, verbs, and subject keywords. You can toggle this setting off if you want to inspect conversational phrases or natural idiom distributions.
Modern search engines do not rely on fixed keyword density ratios. Most SEO experts recommend maintaining a natural density of approximately 1% to 2% for primary topics, while ensuring the writing prioritizes readability, user intent, and topical depth over artificial repetition.
Yes, 100%! All lexical parsing, N-gram generation, stop-word filtering, and frequency calculations run entirely within your local browser memory using native Web APIs. Zero text characters, articles, or analysis metrics are ever transmitted over the network or saved to external servers. The tool functions completely offline.