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PDF Table Extractor - repository to hold revisable version of code from https://www.cvast.tuwien.ac.at/projects/pdf2table by Burcu Yildiz

An AI-powered LLM app to analyze and summarize Excel, CSV, and PDF reports using Hugging Face language models. Built with Streamlit.

PDF Analysis: Extracting words and their word frequencies from PDF files; Preparation of text data for performing topic analysis on annual reports of German car manufacturers - e.g. Volkswagen, Porsche and Audi. Please note that words are only being extracted, stemming is not being applied. In order to improve this, use nltk.stem.snowball.Snowba…

Advanced multimodal RAG system for querying PDF documents with text, images, and tables using vector embeddings, semantic chunking, and LLMs via Groq API

This project focuses on automating the analysis and reporting of bibliometric data, specifically targeting the annual production of academic articles. The primary goal is to understand trends, anomalies, and patterns in bibliometric data through a combination of statistical modeling and exploratory data analysis.

A PDF Reader application powered by AI, allowing users to upload PDF documents and extract meaningful information using advanced NLP models. Built with Streamlit, Transformers, and Langchain, this app provides a seamless interface for interacting with and analyzing PDF content.

Advanced PDF analysis and question-answering application powered by Google's Gemini Pro AI. Upload PDFs and get intelligent, structured responses to your questions about the document content

Streamlit-based chatbot to interact with PDFs using Retrieval-Augmented Generation (RAG), FAISS, Sentence Transformers, and Mistral LLM

A secure, AI-enhanced file scanning tool built on Flask, strengthened with ClamAV and PDF analysis, designed to vigilantly detect digital threats and potential vulnerabilities.

Fast, SOC‑ready malicious document scanner that turns suspicious PDFs, DOC(X), XLS(X), and RTFs into IOC‑rich, SIEM‑friendly reports.

A RAG project. Chat PDF

An AI-powered Multi-Agent Research Assistant built with Generative AI, Agentic AI, LangGraph, RAG, Persistent Memory, FAISS, and FastAPI. It supports multi-format uploads, intelligent PDF analysis, and expert-like Q&A via Researcher, Summarizer, Critic, and Editor agents—offering deep, contextual, and interactive research insights.

PDF Analyzer** ist ein effizientes Python-Tool zur automatischen Analyse von PDF-Dokumenten.

An extremely fast and user-friendly PDF page counter app for multiple PDF files.

Local RAG-powered document analysis platform with PDF QA, Ollama integration, and citation-aware search.

Intelligent PDF document analysis with AI-powered chart understanding

Demo AI app that summarizes PDF documents via text & voice

ArchLinux packaged version of the kali-linux pdf analysis tool pdfid. Original author is DidierStevensSuite! His license applies!