Word Frequency Counter (Top N Words)
Paste any text and see which words appear most often. Optional: filter out stopwords (the, and, of…), count phrases instead of words (bigrams or trigrams), or limit to top-N results. Useful for content analysis, SEO keyword density, finding repetitive phrasing in writing.
How to use the Word Frequency Counter (Top N Words)
Paste text and the frequency table updates. Unigrams = single words; bigrams = adjacent two-word phrases; trigrams = three-word phrases. Stopword filtering removes high-frequency function words (the, of, and) that are usually noise.
About Word Frequency Counter (Top N Words)
Word frequency analysis is one of the oldest text-processing tasks. The output is a table of (word, count) pairs sorted by count descending. Without filtering, the top words in any English text are always the same: the, of, and, to, a, in. These "stopwords" carry little information about content, so most text analysis pipelines remove them first.
Beyond unigrams, n-grams (sequences of N adjacent words) capture phrasing patterns. "machine learning" is a bigram that means more than the unigrams "machine" and "learning" considered separately. Trigrams capture even more specific phrasing.
For SEO, word frequency is a rough proxy for "keyword density" — what topics a page is "about" from a search-engine perspective. Modern search ranking is far more sophisticated (semantic embeddings, intent matching) but density still appears in some content guidelines.
Common use cases
- SEO content analysis — what keywords does this page emphasize?
- Writing self-review — am I overusing certain words?
- Transcript analysis — top topics in a meeting / interview transcript.
- Comparative analysis — paste two texts side-by-side and see what changes.
- Quick topic modeling — get a rough sense of a document's subject.