Word Frequency Counter

Analyze word frequency, density percentages, and keyword repetition across your copy to improve SEO optimization and writing clarity.

Summary:A word frequency counter calculates how often each word appears in a passage, displaying occurrence counts and keyword density percentages to help writers avoid overuse and optimize copy.
WordCountDensity
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How to Use Word Frequency Counter

Follow these steps to use the Word Frequency Counter: 1. Paste your English or alphanumeric text into the input area. 2. The tool extracts alphanumeric words using standard word-boundary matching and tabulates occurrence counts. 3. Analyze the generated frequency table listing words by count. 4. Review keyword density percentages based on total matched words in the passage. Paste or type your text to process it instantly. This tool processes your entered text locally in your browser.

Word Frequency Counter Formula / How It Works

The tool converts text to lowercase, extracts alphanumeric words and contraction tokens using word-boundary regular expressions, tallies occurrences in a frequency map, and computes density percentages relative to total parsed words.

Formula:Extracts words using regex, maps them into a key-value counter, and sorts results by counts.
Example Calculation:

For example, let's look at entering the sentence "write clean code and write code fast". By entering these values into the tool, you will get a total count of 7 words: "write" (2 times, 28.57%), "code" (2 times, 28.57%), "clean" (1 time, 14.29%), "and" (1 time, 14.29%), and "fast" (1 time, 14.29%) instantly.

Frequently Asked Questions

Yes. This version has no stop-word filter and counts all matched alphanumeric words, including common words like "the", "is", and "and", to calculate density against the entire word count.

The percentage of times a keyword appears on a web page compared to the total number of words.

Standard SEO guidelines recommend keeping density between 1% and 2% to avoid keyword stuffing.

No, "Word" and "word" are treated as the same word.

Plurals (e.g. "word" vs "words") are counted as separate words in basic text matching.

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