Text Summarizer

Automatic text summarization helps readers distill long documents into focused abstracts, saving time while preserving core ideas. The tool supports English and Spanish, making it useful for students, researchers, editors, and knowledge workers who review literature, reports, or transcripts. It prioritizes essential concepts, key findings, and terminology to enable faster comprehension and more efficient note-taking.
Conceptual workflow combines preprocessing, language detection, and sentence-level analysis. It offers both extractive and abstractive modes, allowing you to either select representative sentences or rewrite ideas in a concise form. Users can specify a target length by word count or sentence count and choose a style from brief to thorough to fit their purpose.
Strengths include bilingual support, configurable length and style, and a privacy-conscious processing path. The tool supports single and multi-document inputs, ensuring coherence through sequential chunking and cross-document salience checks. Outputs are plain text with optional retention of key terms to preserve domain accuracy.
Common use cases include literature reviews, executive briefs, study notes, and content curation. Example: summarize a 2,000-word article to 250 words, preserving findings and limitations. The system emphasizes accuracy, preserves meaning, and provides a reproducible summary that can be cited or reformatted for further analysis.