TF-IDF Content Optimizer
Analyze content using Term Frequency-Inverse Document Frequency (TF-IDF). Compare to competitor content, identify important terms, find missing terms, flag over-optimization, compute content score, CSV export, history, shareable URL. 100% client-side.
About TF-IDF Content Optimizer
Analyze content using Term Frequency-Inverse Document Frequency (TF-IDF). Compare to competitor content, identify important terms, find missing terms, flag over-optimization, compute content score, CSV export, history, shareable URL. 100% client-side. Everything runs locally in your browser — your data never leaves your device.
How to use
- Enter your input in the tool above.
- Adjust any options to your preference.
- Use the Copy or Download buttons to save the result.
- Everything happens locally — your data never leaves your browser.
FAQ
What is TF-IDF?
TF-IDF (Term Frequency-Inverse Document Frequency) scores how important a term is to a document in a collection. Terms that appear frequently in your content but rarely across competitors score high — those are your 'signature' terms. Terms that appear in competitors but not in yours are content gaps to fill.
How is TF-IDF calculated?
TF = (count of term in document) / (total terms in document). IDF = log( (total documents) / (documents containing term) ). TF-IDF = TF × IDF. Stop words are filtered out before scoring.
What does the content score mean?
The content score (0-100) reflects how well your content covers the important terms shared with competitors. A higher score means your content includes more of the terms that competitors collectively use — but watch for over-optimization warnings if your TF-IDF is much higher than competitors.
What extra features does this tool have compared to others?
(1) TF-IDF calculation (TF, IDF, final score). (2) Term importance ranking. (3) Competitor comparison. (4) Missing-term suggestions (terms in competitors but not yours). (5) Over-optimization warnings (terms where your TF is 2x+ the competitor average). (6) Word-cloud data export. (7) CSV export. (8) Content score 0-100. (9) History (localStorage, last 20). (10) Shareable URL. (11) Stop-word filtering (English).
Is my data sent anywhere?
No. All TF-IDF computation runs locally. History is stored in localStorage on this device only.
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