Join Our DiscordAutomatically extract and analyze keywords from PDF documents using iWeaver's advanced AI technology. Process multiple files, generate word frequency reports, and export data effortlessly.
Join Our DiscordQuickly identify key concepts and terminology across research papers and literature reviews. Track emerging trends and analyze citation patterns efficiently.
Extract critical clauses and terms from contracts and legal documents. Compare language across multiple agreements to identify inconsistencies or patterns.
Analyze market reports, competitor documents, and industry publications to identify emerging trends and business opportunities automatically.
Optimize SEO content by analyzing keyword distribution in existing materials. Identify gaps and opportunities for better search engine visibility.
Our tool handles all standard PDFs including scanned documents (with OCR capability), password-protected files (with permission), and complex layouts with multiple columns.
The default setting extracts 20-30 most significant keywords per document, but you can adjust this number based on your specific analysis needs.
Yes, our system allows you to create custom exclusion lists for common words, names, or specific terms you want to ignore in the analysis.
Currently supporting English, Spanish, French, German, and Chinese, with more languages being added regularly based on user demand.
Our NLP algorithms achieve over 90% accuracy in identifying truly significant terms, outperforming simple frequency-based methods significantly.
Absolutely. Our system generates comparative reports showing keyword overlap and unique terms when processing document collections.
We can process documents up to 100MB in size. For larger files, we recommend breaking them into smaller sections for optimal performance.