Keyword Extractor
Extract important keywords and phrases using advanced NLP: TF-IDF scoring, lemmatization, N-gram detection, and part-of-speech tagging. Perfect for SEO, content analysis, and topic modeling.
0 characters · 1 lines
Extract Top 10 Keywords
Adjust the slider to control how many keywords to extract
Advanced Keyword Extraction with NLP
Our free keyword extractor uses state-of-the-art Natural Language Processing (NLP) techniques to identify the most important keywords and phrases in your text. Unlike basic tools that only count word frequency, our extractor employs TF-IDF scoring (Term Frequency-Inverse Document Frequency) to determine which words are truly significant—common words like "the" or "is" get filtered out automatically, while meaningful terms get boosted based on their importance. The tool also uses lemmatization to group word variants together (grouping "running," "runs," and "ran" as the same concept), N-gram detection to identify important multi-word phrases like "machine learning" or "content marketing," and part-of-speech tagging to prioritize nouns over other word types.
This professional-grade analysis goes far beyond simple word counting—phrases marked with 📝 receive double relevance scoring because they often carry more meaning than individual words, nouns get 1.5x boost since they represent key concepts, and words with multiple variants get additional scoring because they indicate central themes. The result is a ranked list of keywords that truly represents your content's main topics, perfect for SEO optimization, content analysis, and topic modeling. After extracting keywords, you might want to use our Text Statistics tool for deeper readability analysis or the Word Counter to verify your content length meets SEO best practices (1,500-2,500 words for comprehensive coverage).
Common Use Cases
🔍 SEO Content Optimization
Content marketers and SEO specialists paste blog posts, articles, or web copy to extract primary and secondary keywords for optimization. The extracted keywords help identify whether your content properly targets your focus keyword, reveals related terms you should incorporate naturally, and shows which phrases search engines will associate with your page. Compare your keyword list against competitor content to find gaps or opportunities.
After identifying keywords, use Character Counter to craft meta descriptions under 160 characters that include your top keywords, then verify readability with Readability Checker.
📚 Academic Research & Paper Analysis
Researchers and students paste academic papers, thesis chapters, or literature review sections to quickly identify the main topics and concepts discussed. The keyword extractor reveals the paper's central themes without reading the entire document, helps generate index terms or tags for research databases, and assists in writing abstracts by highlighting the most significant terminology. This saves hours when reviewing multiple papers for research.
Combine with Word Counter to meet abstract length requirements (150-250 words), then use Sentence Counter to ensure proper academic structure.
📝 Content Management & Tagging
Content management systems (CMS) require tags for categorization, but manually tagging hundreds of articles is tedious. Paste any article or blog post to automatically generate relevant tags from the extracted keywords. The comma-separated output format makes it easy to copy-paste directly into WordPress, Medium, or custom CMS tag fields. Editorial teams use this to maintain consistent tagging across large content libraries and improve internal search functionality.
Clean extracted keywords with Trim Lines to remove extra spaces, then use Slugify to create URL-friendly tag slugs.
🎯 Competitive Content Analysis
Marketing strategists paste competitor blog posts, landing pages, or product descriptions to reverse-engineer their keyword targeting strategy. By comparing your content's keywords against top-ranking competitor pages, you discover which terms you're missing, identify opportunities for differentiation, and understand the semantic relationships search engines expect for your topic. This competitive intelligence informs content briefs and editorial calendars.
Analyze multiple competitor pages, then use Text Diff to compare extracted keyword lists and spot patterns in their content strategy.