Keyword Extractor
Paste any text to extract and rank the most important keywords by frequency.
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Frequently Asked Questions
How does keyword extraction work?
This tool uses a TF (Term Frequency) algorithm to score each word by how often it appears relative to the total word count. Common stop words (the, is, and…) are filtered out, leaving only meaningful terms.
What are stop words?
Stop words are common function words like 'the', 'a', 'and', 'is', 'in' that appear in almost every text and carry little meaning. They are filtered out so only relevant keywords appear in the results.
Is my text sent to a server?
No. All keyword extraction is performed entirely in your browser using JavaScript. Your text never leaves your device.
Can I use this for SEO keyword research?
Yes, as a starting point. It helps identify the main topics of a piece of content. For deeper SEO research, combine it with search volume data from tools like Google Search Console or Ahrefs.
How Keyword Extraction Works
This tool uses Term Frequency (TF) analysis: for each word in the text (after removing stop words), it counts how many times the word appears and divides by the total number of meaningful words. Words with the highest frequency are ranked as the most significant keywords.
More advanced NLP approaches like TF-IDF (Term Frequency – Inverse Document Frequency) also weigh a word by how rare it is across a large collection of documents, giving higher scores to unusual terms that are specific to the text being analyzed. TF-IDF requires a reference corpus; TF alone works on a single document and is ideal for quick content analysis.
Using Keyword Extraction for SEO
- Content audit — extract keywords from your existing pages to confirm they align with your target keyword strategy. If the tool returns off-topic words, your content may lack focus.
- On-page optimization — check that your target keywords appear enough times. Industry guidance suggests 1–3% keyword density for primary terms.
- Competitor analysis — paste a competitor's page text and extract its top keywords to understand what topics it ranks for.
- Meta description writing — the top 5 extracted keywords should appear in your page's title tag and meta description.
What Are Stop Words?
Stop words are high-frequency function words that carry little semantic meaning: the, a, is, in, at, of, and, but, or, not, to, for, with, etc. They are filtered out before analysis because including them would always rank them as top keywords — regardless of the topic.
However, for some specific tasks (like matching a user's exact search phrase) stop words do matter. The toggle in this tool lets you disable stop-word filtering to see the raw frequency ranking.