The Keyword Density Checker analyzes written copy to count individual word occurrences and calculate their percentage share of your total word count.

### How Keyword Density Is Calculated When drafting articles, landing pages, or product descriptions, tracking word distribution helps spot repetitive phrasing and evaluate search topic focus. - **Normalization**: The text is converted to lowercase and stripped of punctuation symbols. - **Length Filtering**: Words with two or fewer characters (such as "in", "at", "to", "or") are excluded so counts reflect core vocabulary rather than tiny grammatical particles. - **Occurrence & Share**: Each unique token is counted against the filtered word list, displaying raw occurrence count and density percentage: $\text{Density (\%)} = \left(\frac{\text{Word Occurrences}}{\text{Total Filtered Words}}\right) \times 100$ - **Top 20 Visualizer**: The tool ranks the 20 most frequent terms and renders proportional progress bars for immediate review.

### Real Text Example Suppose you paste a 30-word paragraph discussing browser tools where the word **"browser"** appears 3 times out of 25 filtered tokens: - **Filtered Word Count**: 25 tokens - **Target Word ("browser")**: 3 occurrences - **Calculated Density**: $(3 / 25) \times 100 = 12.0\%$ - **Rank View**: "browser" appears at the top rank with a progress bar and exact metric readout: '3× (12.0%)'.

### In-Browser String Processing Word tokenization and frequency aggregation execute 100% locally in your client JavaScript environment. No pasted drafts, client manuscripts, or confidential articles are transmitted to any backend server.