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Keyword Density Checker

Paste any text and get top 25 words by frequency, density percentage, unique-word count, and reading time. Stopword filtering optional.

Keyword density checkers help you understand which words dominate your content. Paste an article, landing page, or any text below to see word frequency, density percentages, and a reading-time estimate. Useful for content QA, anti-overoptimisation checks, and balancing your target keywords against natural language.






Word density analysis

Total words
0
Unique words
0
Avg word length
0
Reading time
0 min

Top 25 words by frequency

# Word Count Density

How it works
1
Paste your text
2
Set min word length
3
Toggle stopwords
4
Read the top 25 table
5
Check the metric boxes
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What is keyword density and does it still matter?

Keyword density is the percentage of times a word appears in the text relative to total word count. Google does not have a fixed density threshold for ranking, but density above 5% for a single keyword often indicates over-optimisation and may trigger Google's spam classifier. Aim for 1-3% for primary keywords, natural variation for everything else.

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Why does my page rank poorly when keyword density looks fine?

Density is one signal of many. Modern Google ranking depends primarily on topical authority, search intent match, content depth, structural signals, and link equity. A page with perfect 2% density but mismatched intent will not rank. Use density as a QA check, not a primary optimisation lever.

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Should I aim for the same density as competitors who rank?

Generally yes — match the density range of top-ranking pages for your target query. If pages 1-3 average 1.8% density on the primary keyword, do not push to 4%. Tools like this checker plus competitor SERP analysis (using Ahrefs Content Explorer or manual review) give you the right ballpark.

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What about Russian, German, or other languages?

This tool handles Cyrillic and Latin alphabets. It splits on whitespace and counts unique tokens — accurate for most European languages. For agglutinative languages (Finnish, Hungarian, Turkish) where one word changes form heavily, density numbers are less meaningful than topic-level analysis.

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