📚 AI-Powered Book EPUB Knowledge Extractor & Summarizer Transform your PDF books into structured knowledge effortlessly! This tool leverages AI to analyze books page by page, extracting key insights, definitions, and concepts, and organizes them into Markdown summaries for easier study

Get summaries of your PDFs via ChatPDF.

NeuroDoc is a powerful AI-based offline document summarization tool that leverages OCR and NLP to intelligently analyze PDFs and generate structured summaries. Built using Flask, this tool is designed to run completely offline and supports both text-based and scanned/image-based documents.

Step by step method is shown on how to summarize pdf book/file of any size or pages, summary is found out and saved in pdf at a specified location.

German PDF summarizer + Q&A system using LangChain + Hugging Face LLMs

LanchainLLM

A simple Proof of Concept to summarize a PDF file using OpenAI APIs

AI-powered system for summarizing PDF content with Armenian, Russian, and English language support. Automatically extracts and summarizes text, applies OCR to images, and identifies visual elements in documents. Built for efficient multilingual PDF processing.

Register knowledge and files in a vector database, and generate information based on questions using the OpenAI API. This knowledge management and search support tool efficiently searches for relevant knowledge through vector search powered by Weaviate.

Compare Claude and OpenAI responses side-by-side with a built-in evaluation framework. Upload PDFs, generate summaries, ask questions using RAG, and track metrics.

An intelligent assistant powered by the ReAct framework, leveraging LangChain for tool-based reasoning and Gradio for a user-friendly interface. Supports tasks like weather queries, PDF summarization, image descriptions, and more.

A Python project for document summarization using various NLP techniques. The project includes a basic setup with a .gitignore file, necessary dependencies listed in requirements.txt, and a script (text.py) for processing documents. It is designed to help automate and streamline document summarization tasks.

AI-powered document intelligence platform for automated PDF summarization with customizable templates

Analyze uploaded PDFs or images with OCR and LLMs (Google Gemini / OpenAI) to extract structured data and generate styled summary PDFs using a Streamlit UI.

Study buddy for students for efficient learning

AI-powered study notes generator using Next.js, Kafka, Redis, and AWS S3. Upload PDFs and generate structured summaries with Hugging Face models.

PDF Summarizer - web application that lets users upload large PDF documents and process them with AI.

Micro SaaS de IA para resumir documentos, con análisis de Pros/Contras/Recomendaciones/Conclusión y estadísticas.

Description: Production LLM pipeline that summarizes 100-page PDFs using context-aware chunking, map-reduce + hierarchical strategies, and hallucination verification.

AI-powered study assistant that explains concepts, summarizes PDFs, and generates quizzes — built with Streamlit and Google Gemini 2.5 Flash.