Extractive Text Summarizer (Local Algorithm)
Extract the most important sentences and key takeaways from long articles and papers using deterministic sentence scoring.
Original Article / Text (183 words)
Extracted Summary (117 words)
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About Extractive Text Summarizer (Local Algorithm)
Summarize long texts, essays, news articles, and research papers client-side. Evaluates term frequencies, filters stopwords, and extracts the highest-scoring sentences into concise paragraphs or bullet points.
Key Features & Performance
Supported File Formats
Privacy & Data Security
All file conversions, OCR extractions, and calculations execute directly in your browser memory with zero server uploads. Your data never leaves your computer.
Frequently Asked Questions
How does this summarizer work?
It uses an extractive natural language algorithm that scores sentences based on normalized keyword frequencies, title affinity, and paragraph positions.
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