Extract Keywords from Text
Pull Out the Most Important Keywords Automatically
Need to use Extract Keywords from Text right now?
Surfaces the terms that actually carry meaning in a document, skipping common filler words automatically.
Features
- Runs entirely in your browser
- Privacy-first — your data is never uploaded
- Real-time, instant results
- 100% free, no sign-up required
- Works on desktop, tablet, and mobile
- No installation needed
Who uses this tool?
About Extract Keywords from Text
Paste in an article, product description, or page of content and this tool surfaces the words that actually carry meaning — filtering out common connectors like 'the,' 'and,' or 'with' and ranking what's left by how often it appears. It's a fast way to sanity-check whether a piece of writing is actually about what you intended, or to see which terms a page is naturally leaning on before you optimize it further.
Under the hood, it's a straightforward, transparent frequency-based algorithm — not a black-box AI model. Text is lowercased, stripped of punctuation, filtered against a stop-word list, and then counted. That means results are instant, fully explainable, and don't depend on any external service or API key. You can trust exactly why a word made the list: it showed up more than the others.
This makes it genuinely useful for content audits, quick SEO keyword checks, or spotting repetition in your own writing — if a word you didn't intend to repeat keeps showing up at the top, that's worth noticing. Adjust the result count to see just the top handful or a broader spread, and copy the list straight into a spreadsheet or brief.
How it works
- Paste your text. Any article, description, or block of writing.
- Set how many keywords to show. From 5 up to 50 results.
- Review and copy. Keywords are ranked by frequency, ready to copy.
Examples
Analyzing a blog draft
Input
A 600-word article about home coffee brewing
Output
Top terms: coffee, brew, grind, water, beans, ratio