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document-summarizer

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The Document Summarizer leverages Hugging Face’s facebook/bart-large-cnn model to transform lengthy documents into concise summaries. Built with ReactJS (Vite) for the frontend and Flask for the backend, it supports PDF and text files, offering real-time summarization for researchers, students, and professionals.

  • Updated Dec 7, 2024
  • JavaScript
reviselyt

Reviselyt is an open-source AI-powered tool that turns long PDFs and pasted text into concise, visual bullet summaries — built for students, exam prep, and interview revision 🚀

  • Updated Aug 18, 2026
  • TypeScript

Fully offline document summarizer powered by a local Qwen3 4B model. Private desktop app (PySide6/QML) + CLI for PDF, DOCX, RTF, TXT & Markdown, with batch processing and source-grounded summaries. No cloud, no API keys — nothing leaves your machine.

  • Updated Oct 16, 2026
  • Python

Desktop document summarizer with drag-and-drop, multi-format support (PDF/DOCX/ODT/RTF/TXT/URL), and local AI via Ollama. Falls back to a fast offline extractive summarizer when no model is available. Single Python file, no build step.

  • Updated Nov 1, 2026
  • Python

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