About the Keyword Extractor
This keyword extractor finds the words and phrases a text is really about. It uses RAKE (Rapid Automatic Keyword Extraction), a well-known method that splits text at stop words like the, and, of and punctuation, then scores each candidate phrase by how its words appear together. The result is a ranked list of key phrases such as electric cars or public charging stations, with how often each appears. Use it to check what your page focuses on, to find tags for a post, or to summarise a long document.
Updated October 2026
How to use the Keyword Extractor
- 1Paste your text: an article, product page, essay or transcript.
- 2Choose the longest phrase length.
- 3Set how often a phrase must appear.
- 4Choose how many keywords to show.
- 5Copy the list or download it.
Using it for SEO
Paste your page and compare the top phrases with the search terms you want to rank for. If your main keyword isn't near the top, the page may not focus on it clearly. Then do the same for a page that ranks well for that term to see which related phrases it covers that yours doesn't.
Choosing the settings
Small changes to the settings make the list more useful for different jobs.
- Longest phrase 2–3: best for SEO keywords and tags
- Longest phrase 1: a simple topic word list
- Must appear twice or more: drops one-off phrases in long texts
- More keywords: useful for long reports and transcripts
Reading the scores
The score favours words that appear in longer phrases, so specific terms score higher than general ones. The count shows how many times the exact phrase appears, including inside longer phrases. A phrase with a high score and a high count is a strong candidate for the main topic.
Other uses
Writers use the list to pick tags and categories. Students use it to check what a source is mainly about before reading it in full. Marketers paste competitors' pages or customer reviews to see the phrases people actually use.
Good to know
Very short texts don't give the method much to work with; a few paragraphs or more give far better results. Headings, lists and menus pasted with the text count too, so remove navigation text if you copy a whole web page.
Phone and computer
Paste from your phone's clipboard or a document on your computer. Results update as you type or change a setting. Pulled keywords are best checked against how the text really reads. See repeats with the Keyword Density Checker, count short phrases with the Phrase Frequency Counter, and group the final list with the Keyword Cluster Tool.
Features
- RAKE key phrase extraction
- Phrases of one to four words
- Counts every appearance
- Ignores common stop words and numbers
- Top ten shown with scores
- Runs in your browser
Frequently asked questions
How does keyword extraction work?
The text is split into candidate phrases wherever a stop word or punctuation appears. Each word gets a score from how often it occurs and how many words it appears with; a phrase's score is the sum of its words' scores.
What is RAKE?
Rapid Automatic Keyword Extraction, published by Rose and colleagues in 2010. It needs no training data, works on a single document and is good at finding multi-word phrases.
What is the difference from a keyword density checker?
Density checkers count every word. An extractor looks for meaningful phrases and ranks them, so electric vehicle charging comes out as one key phrase rather than three separate words.
Does it work in other languages?
The stop word list is English, so it works best on English text. Other languages still give results, but common words may appear in the phrases.
Why are some phrases long?
RAKE favours phrases whose words often appear together. Lower the longest phrase setting to get shorter keywords.
Is my text stored?
No. The text is analysed in your browser and isn't sent anywhere.