Keyword Extractor — Find What Matters
Extract the most important keywords and phrases ranked by relevance. Perfect for SEO optimization, content analysis, and research.
Use Cases
Keywords extracted by relevance and category — instantly ready for your workflow.
SEO Optimization
Extract target keywords from competitor content. Use them to build better meta tags, headings, and content strategies that rank higher.
Content Analysis
Quickly grasp what any article or document is about without reading the whole thing. Skim the keywords instead.
Academic Research
Extract key concepts from academic papers, reports, and studies for literature reviews and research summaries.
How It Works
AI-powered keyword extraction in three steps.
Paste Your Text
Enter any text — an article, blog post, research paper, or product description. Up to 10,000 characters supported.
AI Extraction
Our AI reads the full text, identifies core topics and concepts, then ranks keywords by semantic relevance.
Review & Use
Browse your tag cloud of keywords, color-coded by category with relevance percentages. Use them wherever you need.
Keyword Categories
Every extracted keyword is tagged with a category to help you understand its role.
Topic
Main subject areas and themes discussed in the text
Entity
People, organizations, products, locations, dates
Action
Verbs and action-oriented phrases describing activities
Concept
Abstract ideas, methodologies, frameworks, and principles
Frequently Asked Questions
How many keywords will I get?
Typically 5-15 keywords depending on text length and topic diversity. Short, focused texts produce fewer keywords; long, topic-rich texts produce more.
How is relevance scored?
Relevance (0-100) reflects how central a keyword is to the text's overall meaning. Core topics score 80-100, supporting concepts score 50-80, and peripheral terms score below 50.
Does it work with non-English text?
Yes. The AI preserves the original language of your text. Keywords are extracted in the same language as the input — whether English, Chinese, Spanish, or any supported language.