Paste any text and get ranked keywords and keyphrases in seconds
AI-powered, no signup, relevance-scored, and grouped by topic
Paste an article, blog post, or transcript — get the most relevant keywords ranked 0–100
0 characters · 0 words
No keywords extracted yet
Enter text and click extract to see results
Advanced algorithms identify the most relevant keywords
Keywords ranked by importance and frequency
Keywords organized into meaningful topic groups
Keyword extraction is the process of automatically identifying the most important words and phrases from a piece of text. These keywords represent the core topics, themes, and concepts within your content. This technique is a subset of Natural Language Processing (NLP) and is used in search engines, content management systems, and text analysis tools.
Our keyword extractor uses NLP algorithms to analyze your text, filtering out common words (stop words) and identifying terms that carry the most semantic weight. The result is a ranked list of keywords that accurately represent your content.
Keyword extraction analyzes existing content to find what topics it covers.Keyword research involves finding terms people search for to create new content. Both are valuable for SEO—extraction helps you understand your current content, while research guides new content creation.
Individual words that represent core concepts. Examples: "marketing", "software", "business"
Multi-word terms that are more specific. Examples: "content marketing", "social media strategy"
Longer, more specific phrases. Examples: "how to improve website SEO", "best marketing tools"
Drop in any article, blog post, transcript, or document — at least 50 characters. Longer and more focused text extracts better keywords.
Pick 5, 10, or 20 keywords. Use fewer for quick topic checks, more for SEO research or content briefs.
Get keywords with 0–100 relevance scores and topic groups. Copy individual keywords or the full list.
Paste a competitor's blog post and see exactly which keywords and keyphrases it targets. Spot gaps your version should cover.
Extract the dominant keywords from top-ranking pages and hand your writer a brief with the must-cover terms.
Turn your own draft into a short list of keywords for meta tags, Open Graph tags, and structured data.
Paste an article and get tag suggestions — useful for content platforms, documentation sites, and support knowledge bases.
Drop in a podcast or video transcript and get the core topics — handy for episode descriptions, chapter titles, and repurposed content.
The top keyphrases make strong hashtag candidates for Instagram, LinkedIn, and TikTok captions.
Paste a batch of reviews or support tickets to surface the themes customers keep repeating — at a glance.
Extract keyphrases across 5–10 related articles and group them into hub-and-spoke topic clusters for your content strategy.
Core nouns and verbs that appear throughout the text — the atomic units of the topic.
Two-to-five-word phrases that usually reflect real search intent (e.g. “content marketing strategy”).
Each keyword gets a score you can sort by. 80+ = central topic. 50–79 = supporting theme. Below 50 = peripheral.
Keywords are grouped by theme so you can see the text's sub-topics at a glance.
Every keyword has a one-click copy button. The full list is easy to paste into a brief or CMS tag field.
Pick 5, 10, or 20 per run — match the list length to whether you're scanning or building a full brief.
Skip the navigation, footer, “related articles,” and author bio. Signal-to-noise matters — a clean paste produces sharper keywords.
Multi-topic articles dilute the keyword list. For best results, paste one article at a time — not a whole news digest.
The 50-character minimum works, but a paragraph or two gives the AI enough context to rank accurately. Longer = better.
Run with 5 keywords for the most-central terms, then run with 20 for the long tail. You'll see which terms hold across both.
Extract keywords from 3–5 competing articles on the same topic. Keywords that appear across all of them are usually the must-cover terms.
Keyphrases (e.g. “keyword extraction tool”) usually reflect real search intent better than single words (“tool”). Prioritize phrases in your brief.
These two tools sound similar but answer different questions. Both are useful — the trick is knowing which one you need.
| Job | Keyword Extractor (this tool) | Keyword Research Tool |
|---|---|---|
| Input | A block of text you paste | A seed keyword |
| Output | Keywords the text is about | Search volume, difficulty, related terms |
| Best for | Auditing content, building briefs, tagging | Picking topics to target |
| Use them together? | Yes — extract keywords from top-ranking pages to learn what to cover, then validate the terms in a keyword-research tool. | |
100% free. No signup, no account, no paywall, no watermark. Paste your text, pick how many keywords you want (5, 10, or 20), and get ranked keywords instantly.
No. The keyword extractor runs in your browser — open the page, paste your text, and extract keywords. There is no account, no credit card, and no registration.
You paste text — an article, a blog post, a transcript, or any document — and the AI analyzes word frequency, context, and topical relevance to surface the most important keywords and keyphrases. Each keyword gets a relevance score from 0 to 100 and is grouped by topic category.
You choose — 5, 10, or 20 keywords per extraction. Shorter lists are best for quick topic scans; longer lists are better for SEO research, content outlines, or tagging.
Relevance is a 0–100 score estimating how central a keyword is to the text. A score of 80+ means the keyword captures a core topic of the passage. A score of 30–50 means it is present but peripheral. Use relevance to decide which keywords to target first.
A keyword is a single word (e.g. "marketing"). A keyphrase is a multi-word term (e.g. "content marketing strategy"). The extractor returns both — keyphrases are often more useful for SEO and content because they reflect real search intent.
At least 50 characters, which is roughly a sentence or two. For meaningful results, we recommend pasting 150 words or more. The longer and more focused the text, the better the extraction.
Articles, blog posts, product descriptions, meeting transcripts, YouTube video transcripts, research papers, customer reviews, and support tickets all work well. Anything that contains natural-language content more than a few sentences long.
The current tool works on text you paste in, not URLs directly. To extract keywords from a web page: open the page, select and copy the main article text (Ctrl+A / Cmd+A to select everything, then paste), and run the extractor. This lets you skip the navigation and footer noise and focus on the actual content.
Yes — but note its purpose. This tool extracts the keywords a given text is already about; it is not a search-volume tool. Typical SEO uses: audit what keywords your competitor's article is targeting, find gaps in your own article, generate tag suggestions, and build topic clusters. For search-volume and difficulty, pair it with a dedicated keyword-research tool.
It works best in English. Other major languages (Spanish, French, German, Portuguese, Italian, Dutch) usually return sensible results, but quality varies. Very short text or mixed-language text may return weaker output.
Yes. The keywords you extract are yours to use freely — for SEO, ads, content briefs, meta tags, social captions, tagging, or any commercial purpose.
A word-frequency counter just tallies how often each word appears. This keyword extractor uses AI to weight frequency against context and topical importance, so common filler words ("the", "and", "which") drop out and genuinely meaningful phrases rise to the top.
Yes. Each keyword has a copy button, and you can copy the whole list at once. The tool is designed to drop straight into your SEO brief, CMS tag field, or social-media post.
Maximize your social media success with our other free tools
Generate complete Facebook posts with AI for any business or personal use
Create engaging Instagram posts with captions, hashtags, and CTAs
Generate professional LinkedIn posts for thought leadership and engagement
Create captions, images, and videos with AI. Schedule to 9 platforms in seconds.
Start your free trial