Keyword Extractor
Paste any text and see its most frequent keywords and phrases ranked instantly.
About the Keyword Extractor
Drop in an article or blog post and the extractor tokenizes it, strips out around 40 common English stopwords, then ranks both single words and two-word phrases by how often they appear. It's a fast way to see what a piece of writing is actually about, handy for double-checking that your intended focus lines up with what the text emphasizes.
Automatic Stopword Filtering & Tokenization
Before counting frequencies, the extractor removes generic grammatical words like "the", "with", "from", and "have" that artificially dominate raw word counts. By isolating topical nouns, verbs, and modifiers, you gain an accurate picture of your content's semantic weight and subject matter focus.
Single-Word and Bigram (Two-Word) Keyphrases
Real-world search queries are rarely single isolated words. The algorithm examines adjacent non-stop words to extract two-word combinations (bigrams), allowing you to identify compound concepts and long-tail topics that match natural user search patterns.
One-Click Keyword Copying for SEO Workflows
Each extracted keyword badge functions as a one-click copy button, and the "Copy All" action exports a comma-separated list of top terms. This makes it effortless to transfer target keywords into your meta tag generators, content briefs, or SEO audit spreadsheets.
Frequently Asked Questions
How does the keyword extractor identify relevant terms?
The tool tokenizes your pasted text, strips out common English stopwords (such as 'the', 'is', 'and', 'with'), normalizes punctuation, and counts the occurrence frequencies of individual words and two-word keyphrases.
Why are common filler words excluded from the results?
Filler words or stopwords appear in virtually every English sentence and carry minimal semantic search signal. Filtering them out ensures you see the actual topical keywords and core concepts that search engines use to understand page content.
Can I extract two-word phrases (bigrams) as well as single words?
Yes, the extractor automatically evaluates consecutive meaningful words to surface two-word phrases, helping you identify compound keywords and long-tail topics in your content.
Is my text uploaded to any server for keyword analysis?
No. The entire keyword extraction and phrase counting algorithm runs locally in your browser using JavaScript. No text is ever uploaded or stored.
How should I use extracted keywords to improve on-page SEO?
Compare your extracted top keywords with your target search queries. Ensure your primary keyword and supporting semantic variations appear naturally in your title, headings, opening paragraph, and image alt attributes without keyword stuffing.