Calculates term frequency (TF), document frequency (DF), smoothed inverse document frequency (IDF), and TF-IDF for every term in your target document, against one or more comparison documents you enter (e.g. from competitors). The target document participates in both the corpus size and the DF calculation. It never queries Google, scrapes, or uses real SERPs: the entire calculation is local, over the texts you paste. A higher TF-IDF indicates a more distinctive term for your document, never a guarantee of better ranking.
A higher TF-IDF means the term is more distinctive for this document relative to the compared corpus — it does not imply a better search ranking. No search engine is queried and no scraping is performed.
The content is processed on your device and is never uploaded to the server.