PDF Keyword ExtractorNEW
Analyze document semantic structures using RAKE algorithms to extract multi-word keyword phrases and frequency metrics.
How PDF Keyword Extractor Works
Analyze document semantic structures in 3 simple steps.
Upload PDF Document
Drag & drop your PDF file or select one of our testing files directly inside the browser.
RAKE Parsing Algorithm
The browser parser filters stopword terms, computes degree co-occurrences, and calculates phrase relevance scores.
Word Cloud & Export
Interact with the dynamic keywords list cloud, view score statistics, and export tables to JSON or CSV.
Advanced Semantic RAKE Metrics
Filter out grammar noise and extract structured keyphrases that actually matter for search engine indexers and NLP text analyzers.
Rapid Automatic Keyword Extraction
Uses mathematical RAKE scoring instead of raw word counts to capture multi-word semantic concepts.
Linguistic Stopword Screening
Filters standard English and Arabic prepositions, pronouns, and verbs automatically from search calculations.
Spreadsheet Dataset Exporters
Export parsed keywords, frequencies, and scores to structured Excel (XLSX), CSV, or raw JSON arrays.
Frequently Asked Questions
Common queries regarding our browser-based PDF keyword extractor.
Q.How is keyword relevance score calculated?
We implement the standard RAKE metric, which splits text into content phrases and calculates relevance based on individual word degree co-occurrences divided by raw frequency.
Q.Are my document text contents sent to any servers?
No. The entire keyword indexing process runs in browser memory locally inside your client session.
Q.Does this tool support Arabic PDF documents?
Yes. It contains a comprehensive stopword list filtering out Arabic prepositions, pronouns, and connector words alongside standard English ones.
Q.Can I export my extracted keywords?
Yes. You can download the complete list of terms, frequencies, and scores as a JSON dataset or CSV table report.