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Flip a list upside down so the last line becomes the first.
Keyword Extractor
Pull the terms a document is actually about out of it.
| Keyword | Score | Count | Density |
|---|
Quick Tool Overview
The Keyword Extractor finds the terms a document is genuinely about by scoring each candidate on how frequent it is here against how common it is in English generally — which is why "the" never wins. Multi-word phrases are extracted alongside single terms.
- What it does
- Extracts and ranks the significant terms in a text
- You give it
- An article, report or page
- You get back
- Ranked keywords and phrases with scores
- Best for
- Tagging, SEO auditing and summarising long documents
About the Keyword Extractor
The most frequent word in almost any English document is "the", which is why raw frequency is a poor way to find keywords. What you want are the terms that are frequent *here* and not frequent in English generally — the words that distinguish this document from every other one.
This scores candidate terms on that basis, combining how often a term appears with how unusual it is in ordinary English, and adds weight for terms that appear early, in what look like headings, or as part of a repeated phrase. Multi-word phrases are extracted alongside single terms, since most real keywords are phrases. The result is a ranked list of what the document is genuinely about, which is useful for tagging, for SEO auditing and for summarising a long text you have not read.
Key features of the Keyword Extractor
Relevance, not raw frequency
Terms are scored on being unusually common here rather than simply common, which is what finds real keywords.
Position weighting
Terms appearing early or in what look like headings score higher, as they do in real documents.
Phrases extracted too
Because most genuine keywords are two or three words rather than one.
Score, count and density
Each keyword comes with all three, so you can judge the ranking rather than trust it.
Honest about search volume
The page says plainly that these are document terms, not search data, and to pair them with real research.
How to use the Keyword Extractor
-
1
Paste your text
An article, a report, a page or a set of documents.
-
2
Set how many keywords
Ten to twenty is usually the useful range for a single article.
-
3
Read the ranked terms
Each keyword comes with its score, its count and its density.
-
4
Check the phrases too
Multi-word phrases are extracted separately, since most real keywords are phrases.
Frequently asked questions
By combining frequency within the document with rarity in ordinary English, then adding weight for terms that appear early or inside repeated phrases. A word that is common here and rare generally scores highest.
Because frequency alone finds "the" and "and". A term only tells you what a document is about if it is unusually frequent here compared with English in general, which is what the scoring measures.
They tell you what a page currently emphasises, which is genuinely useful for auditing your own content or a competitor's. They are not search volume data, so pair them with a keyword research tool before making targeting decisions.
A counter tells you how often terms you already chose appear. This finds the terms for you, ranked by significance, without you having to guess what they might be.
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