See which words appear most often. Toggle stopword filtering and export the table to CSV.
Built and maintained by Paul Clark, Redmoon Software · Changes and corrections
Use word frequency for keyword analysis, content-tag extraction, evidence of topic focus, and as a quick "what is this about?" check on unfamiliar text. Excellent for SEO drafts, article summaries, and student essays.
Frequency analysis is a precursor to more advanced techniques like TF-IDF or topic modelling. For single documents, raw frequency with stopword filtering is the simplest useful approach.
This tool counts every word and surfaces the most-used ones, with optional filtering of common stopwords and short words.
Frequency tables are useful for surfacing repetition, identifying topical keywords, or building keyword lists for SEO.
To take the table into a spreadsheet, select it and paste; the Export CSV button saves the summary counts only.
Common function words (the, of, and, to, a) that dominate frequency lists but contribute little meaning. Toggle them off to surface meaningful content words.
Try increasing the minimum length filter to 4+ letters and enabling stopword exclusion.
It reveals whether your target keywords actually appear often enough to signal a page's topic, and whether one word is repeated so much it reads as keyword stuffing. Use it to spot both gaps and overuse.
A raw frequency count treats each spelling separately, so plurals and tenses appear as distinct entries. To group them you would need stemming or lemmatization, which this simple counter does not apply by default.
Input
~500 words of blog text.
Output
Top content words: "design" (12), "user" (9), "interface" (7), "research" (5).
After stopword filtering, the highest-frequency content words usually reveal the document's true topic at a glance.
With stopwords included, the frequency list describes the mechanics of the writing — how heavily it leans on particular function words, whether one construction dominates. With stopwords excluded, it describes the subject matter. Both are useful and they answer different questions, which is why the toggle exists rather than a fixed default.
The minimum-length filter does related work, cutting short tokens that add noise without changing the picture.
The most valuable use of a frequency list is checking what a document is actually about against what you meant it to be about. Those diverge more often than writers expect: a page intended to explain a concept whose top content words are all the name of a product, or a report whose most frequent term is a hedge.
Watch for one word dominating far above the rest. That is usually either the genuine subject — fine — or a term that has crowded out the variation the text needed, and the frequency list is the fastest way to notice which.
% content words vs. function words.
Text analysisVocabulary variety — type‑token ratio.
Text analysisTotal + per‑word syllable counts.
Text analysisHighlight passive sentences in your writing.