How are words defined?

Text is split on any run of whitespace, so each whitespace-separated token is one word. With punctuation stripping on, leading and trailing symbols are removed, but internal apostrophes and hyphens in words like don't or well-known are kept.

Why merge different capitalizations?

With case-insensitive matching on, The, the, and THE are counted as the same word, which is usually what you want for frequency analysis. Turn it off to count each capitalization separately.

How is the table sorted?

Rows are ordered by descending count so the most frequent words appear first. Words that share a count are sorted alphabetically to keep the output stable and predictable.

Is this useful for SEO keyword density?

Yes. Pasting page copy gives a quick view of which terms dominate. Divide a word's count by the total word count to get its density percentage as a rough on-page SEO signal.

Word Frequency Map — Gera Tools

A word frequency map shows how many times each distinct word appears in a body of text. It is the foundation of keyword-density checks, basic text analytics, and quick readability or repetition audits.

How it works

The text is tokenised by splitting on whitespace, then each token is normalised and tallied in a map:

tokens = text.split(/\s+/)        // split on whitespace
for each token:
    if stripPunctuation: trim leading/trailing symbols
    if caseInsensitive:  token = token.toLowerCase()
    counts[token] += 1
sort rows by count desc, then word asc

Using a map keyed by the normalised word gives an exact count in a single pass. The final sort puts the most common words on top, with alphabetical ordering breaking ties so the table is deterministic.

Example and tips

For the input the cat sat on the mat the cat ran, the word the appears three times and cat twice, so they head the table. To estimate keyword density, divide a word’s count by the total-words figure shown above the table. Strip punctuation when analysing prose so that dog. and dog are not counted as two different words.