Keyword Density Analyzer

How to Use the Free Client-Side Keyword Density Analyzer

Keyword stuffing and thin keyword usage are two sides of the same mistake, and both are easy to make without hard numbers. This analyzer measures exactly how often each word and phrase appears so you can tune your content deliberately.

1. Copy your article, blog post, or webpage text and paste it into the input area.
2. Configure the analysis by toggling stop word filtering and selecting the n-gram size, choosing unigrams, bigrams, or trigrams.
3. Review each keyword's frequency count and density percentage, sorted from highest to lowest.
4. Copy the keyword analysis as a formatted table or CSV for documentation or further analysis.

When to Use Keyword Density Analyzer

Density analysis fits naturally into the editing stage of content work. The main use cases are analyzing keyword usage in blog posts to avoid keyword stuffing, optimizing landing page content for target keywords at a natural density, and comparing keyword distribution across competitor articles for SEO research. Writers, editors, and SEO practitioners all use it to check whether their text leans too hard on one term or misses a phrase entirely.

The tool is built for depth as well as speed. Word frequency counts are sorted by density percentage, n-gram support covers single words, bigrams, and trigrams so phrase-based keywords appear in context, and the stop word filter removes common words like the, a, is, and and that would otherwise dominate the results. The CSV export makes it easy to file the analysis alongside your content documentation.

Keyword Density Analyzer Tips and Best Practices

1. Aim for a natural keyword density around 1-3 percent. Higher percentages risk being flagged as keyword stuffing by search engines.
2. Write naturally first and check density afterward. Forcing keywords in to hit a target number harms readability and can trigger penalties.
3. Enable stop word filtering for meaningful results, since common words can crowd out the content words that matter.
4. Use bigram and trigram analysis to see how your target keyphrase appears in context rather than only as individual words.

Why Client-Side Privacy Matters for Analyzing Unpublished Drafts and Competitor Research Text

The text you run through a keyword analyzer is either unpublished content or competitor research, both of which are sensitive in different ways. An unpublished draft is your in-progress strategy, and pasting competitor articles into an online tool could expose your research approach and the pages you are targeting.

This analyzer processes everything locally in your browser, so your content never leaves your device. You can experiment freely with drafts and research without a third party collecting the text you are analyzing.