See which words appear most often. Toggle stopword filtering and export the table to CSV.
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.
Use the CSV export to take the table into a spreadsheet.
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.
% content words vs. function words.
analysisVocabulary variety — type‑token ratio.
analysisTotal + per‑word syllable counts.
analysisHighlight passive sentences in your writing.