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text-extraction

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A local GPU-accelerated Retrieval-Augmented Generation (RAG) pipeline for PDF question-answering with multi-LLM support and modular NLP components. Process documents locally with privacy-focused information retrieval.

  • Updated May 20, 2025
  • Python

The objective is to analyze text content from a list of URLs. This involves extracting article titles and text, then performing natural language processing to generate metrics like sentiment, readability, and word usage. Finally, the results are stored for further analysis or visualization.

  • Updated Apr 11, 2024
  • Jupyter Notebook
xsukax-ReadClean-PDF

A privacy-focused, client-side web application that extracts clean, readable content from any webpage and converts it to PDF format. Built with pure HTML, CSS, and JavaScript—no backend required, no tracking, complete privacy.

  • Updated Oct 5, 2025
  • HTML

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