Keyword Density Checker

Extract keywords and count density metrics for single, double, and triple-word combinations.

Scanner Options

Exclude common stop words (the, is, at, to)

Min Word Length:

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Learn About This Tool

Understanding keyword density and preventing search penalties

Keyword density measures how frequently specific terms or phrases appear in your text relative to the total word count. While including target keywords helps spiders understand your topics, repeating them too often is flagged as **keyword stuffing**. Keep densities between 1.0% and 2.5% for primary search terms:

// Word distribution mapping example:
Total words: 200
"keyword" count: 4 -> Density: 2.0% (Ideal)
"stuffing" count: 12 -> Density: 6.0% (Warning - Too High)

If you want to optimize page metadata descriptions, check out our Meta Tag Generator.

Provides density breakdowns for single keywords, double-word, and triple-word phrases
Automatically filters common stop words (e.g. the, and, in) to keep lists relevant
Helps distribute keywords naturally across headings and paragraphs
Prevents content from being flagged as automated or repetitive by indexing crawlers

Analyzing Multi-Word Term Combinations (2-Word and 3-Word Phrases)

Search bots evaluate context using key phrase groups rather than isolated single words. Analyzing two-word and three-word combinations reveals how strongly your content reinforces target search queries.

Identifies secondary target search term phrases to bolster SEO ranking
Ensures descriptive headers align with body copy terminology
Tracks natural phrase variations to improve topic authoritativeness
Finds overused layout phrases that can be swapped for cleaner syntax

Structuring Content using LSI and Synonym Terms

Latent Semantic Indexing (LSI) refers to words and phrases that are conceptually related to a primary keyword. Including LSI terms signals high relevance to search engine indexers without raising your main keyword density to penalty levels.

Target synonyms and related expressions instead of repeating a single word
Verify density stats after editing copy to ensure primary phrases remain under 3%
Audit raw website text layouts to align vocabulary with natural voice search phrases
Verify that search bots can parse semantic connections cleanly

How to Use Keyword Density Checker

Paste article text or HTML markup

Enter your article copy or paste full page HTML template markup inside the editor.

Analyze keyword frequency lists

Review word occurrence counts, density percentages, and phrase ratios.

Optimize distribution levels

Adjust vocabulary, check stop words settings, and distribute terms naturally to hit ideal targets.

Common questions

What is keyword density?

Keyword density refers to the percentage of times a target keyword appears in a text block compared to the total word count. For example, if a term appears 10 times in a 1,000-word article, its density is 1.0%.

What is the optimal keyword density for blog articles?

Keep keyword density between 1% and 2.5% for primary search terms. Exceeding 3% can trigger keyword stuffing filters, which can hurt your page's search rankings.

How does excluding stop words help keyword analysis?

Stop words like "the", "is", or "and" occur frequently but carry no SEO weight. Filtering them allows you to see the real search phrases that search engine spiders index.

What are LSI keywords and why do they matter?

LSI (Latent Semantic Indexing) keywords are search terms related to your primary keyword. Using them helps search engines establish contextual relevance without repeating your main keyword too many times.

Can high density of 3-word phrases cause penalties?

Yes. Repeating long 3-word phrases exactly (e.g. "buy shoes online free shipping") too frequently looks unnatural and can flag your page for keyword stuffing.

Is this keyword density audit safe for secure drafts?

Absolutely. The extraction and density calculation algorithms run 100% locally in your client browser sandbox. No text data is ever sent to external APIs or database servers.

Does the tool count punctuation or case variations?

No. The text parsing algorithm filters out punctuation and converts all words to lowercase before counting. This ensures that words like 'Design' and 'design,' are counted as the same keyword.

Should I paste HTML markup or just raw text?

You can paste either. If you paste HTML, the tool strips out HTML tags (like <div> or <p>) and attributes to analyze only the human-readable text contents. However, analyzing raw copy is recommended for accuracy.

How do 2-word and 3-word phrase densities compare to single words?

Multi-word phrases will naturally have lower density percentages because they occur less frequently. A density of 0.5% for a 3-word key phrase can be highly significant and effective for search engines.

Is there a word count limit for text analysis?

There is no hard limit. The analyzer operates client-side in Javascript, so it can quickly parse articles of several thousand words. For extremely long documents (like eBooks), processing may take a few seconds.