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.

What is the Word Frequency Map?

Tokenises your text on whitespace and counts how often each unique word appears, then shows a frequency table sorted from most to least common. Optional case-folding and punctuation stripping. Runs in your browser. It runs free in your browser on Gera Tools, with nothing uploaded.

Word Frequency Map — Gera Tools

Name: Word Frequency Map
Creator: Gera Tools
License: https://creativecommons.org/licenses/by/4.0/

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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.

Worked example

For the input the cat sat on the mat the cat ran:

Word	Count
the	3
cat	2
mat	1
on	1
ran	1
sat	1

the tops the list at 3, cat follows at 2. With punctuation stripping on, dog. and dog would both appear as dog, merged into a single row.

Practical uses

Keyword density for SEO: Divide a word’s count by the total-word count displayed above the table to get a rough density percentage. A term appearing 8 times in a 400-word page sits at 2% density — within the range where it signals topic relevance without triggering over-optimisation.

Repetition audit: Writers use frequency tables to spot over-used words. A word appearing far more often than its peers may read as repetitive; the table surfaces these immediately so you can vary your vocabulary.

Finding filler words: Paste a draft and look at what sits in the 3–10 frequency range. In persuasive writing, words like very, just, really, and actually often cluster there — candidates for removal.

Academic text analysis: Frequency tables are the starting point for stylistic comparison, plagiarism detection research, and basic corpus linguistics. Paste two texts separately, compare the top-10 frequency lists, and common authorial habits become visible.

Choosing the options

Case-insensitive: With this on, The, the, and THE merge into one row. Turn it off only if capitalisation carries meaning — for example when analysing code where String and string are different types.

Strip punctuation: With this on, cat, and cat. both count as cat. Leave it off if punctuation is load-bearing, such as when analysing source code or structured markup.