Word Frequency Analyzer
Free word frequency analyzer — count word occurrences, check keyword density, analyze bigrams & trigrams, and measure vocabulary diversity. 100% client-side.
Updated May 2026
How the Word Frequency Analyzer Works
Paste up to 100,000 words and get results ranked by frequency in seconds
1. Paste your text
Article, essay, transcript, or documentation — any content you need to analyze.
2. Set your filters
Toggle stop words, pick n-gram size (words, bigrams, or trigrams), and set a minimum word length.
3. Read and export the results
A table ranked by count and density — export it as CSV or JSON for further analysis.
What This Word Frequency Counter Does
Unigrams, bigrams, trigrams, and lexical diversity, all client-side
N-gram analysis
Single words, or 2- and 3-word phrases — bigrams and trigrams reveal patterns unigrams alone miss.
Type-Token Ratio
Measures vocabulary diversity as a percentage, flagging repetitive writing before you publish.
Stop word filtering
Strips function words (the, a, of, in) so the vocabulary that actually defines the topic stands out.
CSV / JSON export
Take the ranked frequency table into Excel, Python (pandas), or R for deeper analysis.
100% client-side
Text is analyzed in your browser only — nothing is uploaded, stored, or sent to a server.
Key Metrics
What the numbers in the table actually mean
When You'd Use This
The scenarios that come up most often
SEO content audits
Check whether your primary keyword lands in the 1–2.5% density range and shows up naturally in bigrams.
Catching over-repeated words
A word appearing 40+ times in 1,000 words is a red flag — Type-Token Ratio quantifies it before you publish.
Academic and survey text analysis
Spot dominant themes across interview transcripts, open-ended survey responses, or research notes.
Technical documentation review
Find jargon or terminology repeated far more than it should be across READMEs and manuals.
Common Mistake? Start Here
Only checking unigrams, never bigrams
Search queries are usually phrases — confirming your keyword also appears as a natural 2-word unit is a more accurate signal.
Not filtering stop words for SEO work
Without the filter, the top results are "the", "a", "of" — noise that's useless for a keyword density check.
Ignoring a low TTR on long text
A Type-Token Ratio under 40% on 1,000+ words usually signals repetitive writing that hurts readability.
Why Use This Word Frequency Analyzer
It goes beyond a simple word count: bigram and trigram analysis is often more useful for SEO than unigrams alone, since real searches are typically phrases, not single words.
Type-Token Ratio turns "this text feels repetitive" into an objective, comparable number, so you can catch overused words before a piece goes live instead of after.
Unigrams vs. Bigrams vs. Trigrams
Which granularity to use, and when
Frequently Asked Questions
It's a tool that counts how many times each word or phrase appears in a text and calculates its relative frequency as a percentage of the total. It's used for SEO keyword density checks, editorial review, and linguistic research.
Further Reading
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