Count top repeated words in text content.
The Word Frequency Counter counts how many times each word appears in a text. It shows results ranked by frequency, helping you identify overused words, analyze writing patterns, check keyword density for SEO, and understand the vocabulary distribution of a document. Common uses: academic text analysis, SEO keyword density auditing, finding repeated words in a draft for editing, analyzing customer feedback for common themes, and studying language patterns in a corpus.
Stop words are high-frequency function words (the, a, is, of, to, and) that carry little meaning. For SEO or content analysis, you typically exclude them to focus on meaningful terms. For linguistic or stylistic analysis, include them.
Term Frequency (TF) is simply the word count. TF-IDF (Term Frequency–Inverse Document Frequency) adjusts for words that appear in many documents — a word common across all pages (like 'the') gets a lower score than a word specific to one page. TF-IDF is more useful for SEO than raw frequency.
Avoid keyword stuffing. Modern SEO guidance suggests 0.5–2% density for a primary keyword. A 1,000-word article mentioning a keyword 10–15 times is reasonable; 50+ times is keyword stuffing.