Keyword Extractor - Free Online Tool | PivaBox

Extract keywords from text with frequency scoring

Keyword Extractor — Extract and Analyze Keywords from Text Using TF-IDF

  1. Paste your text or URL content into the input area. The keyword extractor processes the text and identifies the most significant words and phrases using statistical text analysis — not just simple word counting.
  2. Review the extracted keywords ranked by relevance score (TF-IDF). Each keyword shows its frequency, relevance score, and category (single word, bigram, trigram). Adjust the minimum relevance threshold and maximum keyword count to filter results.
  3. Copy the keyword list for SEO optimization, content tagging, competitive analysis, or academic research. Export as a CSV for further analysis in spreadsheet tools.

Frequently Asked Questions

Is the Keyword Extractor free?

Yes, completely free. Extract keywords from text of any length — articles, blog posts, product descriptions, or academic papers.

Are my texts uploaded anywhere?

No. All text analysis is performed locally in your browser. Your content stays private on your device.

How does TF-IDF keyword extraction work and what makes a good keyword?

TF-IDF (Term Frequency × Inverse Document Frequency) identifies words that are both frequent in the given text AND distinctive (not common across all documents). TF measures how often a word appears in your text; IDF down-weights common words ("the", "and", "is") that appear in almost all documents. The result ranks words that are characteristic of your specific content. For best results: (1) Use longer texts — at least 300–500 words for meaningful keyword extraction. (2) Remove boilerplate content (navigation, footers, ads) before extraction — these introduce noise. (3) Compare keyword lists from your content versus competitors' content to find topic gaps. (4) Use extracted keywords for SEO meta tags, content briefs, and topic clustering. The tool also identifies n-grams (2–3 word phrases) which often make better SEO keywords than single words — "project management software" is more valuable than three separate words. For SEO, target keywords with moderate competition and clear user intent.