A user-friendly application that allows users to upload PDF documents and receive concise summaries generated using advanced Large Language Models (LLMs).

Get summaries of your PDFs via ChatPDF.

A high-performance PDF summarization tool powered by Google's Gemma 3 LLM. Features parallel processing, async operations, and intelligent chunking for technical paper analysis. Built with FastAPI, Streamlit, and Ollama.

Summarize (and translate) text using ChatGPT or a local LLM, with support for multiple large text files, PDF files. Preserves original style and narrator. Files can be read locally or else downloaded. Text can be translated.

Intelligent PDF Summarizer and Inquiry Companion

Summarizer-AI is an API-based service that provides PDF summarization using serverless architecture. Built with Go and AWS CDK, it leverages modern cloud technologies to deliver efficient and scalable solutions.

This web app will understand the abstract concept & summarize a given PDF using LaMini-Flan-T5-248M Large Language Model built using Streamlit

Gemini File API is a backend service designed to process and summarize PDF and image files using advanced AI models like Google Gemini. The API allows users to upload PDF documents and image files (PNG, JPG, JPEG), which are then processed to generate concise and clean summaries or extract text from images.

Experience seamless document comprehension with 'Online PDF Summarizer App,' featuring the advanced LaMini-Flan-T5-248M model, Langchain, and Streamlit. Effortlessly distill business PDFs, transforming lengthy content into concise summaries for enhanced productivity and insightful decision-making

Muisca: Modelo Unificado de Inteligencia Supervisada para la Computación y Aplicación. Una herramienta Streamlit para resumir y hacer preguntas sobre documentos en PDF y TXT utilizando modelos de lenguaje de última generación.

AI-powered PDF summarizer (w/ RAG)

The quickest way to summarize your PDF documents, using OpenAI.

An AI-powered notes summarizer and quiz maker with notebook-style summaries and voice support.

A Flask-based web app that extracts text, summarizes scientific PDFs using Ollama, and retrieves figures from research papers. Supports batch processing via ZIP uploads and provides downloadable summaries.

Summarizes content from YouTube videos, books, and web pages, generating visual diagrams using Mermaid.

A collection of intelligent AI agents built using Ollama, LangChain, and local LLMs — including chatbots, voice assistants, web scrapers, document readers, and custom tools. No APIs required. Fully offline.

This project is helpful when user needs to feed long pdf files in order to ask questions about the contents of pdf. It implements similarity search on vector databases to reduce context size and inference time.

📄✨ PDF Summarizer is a powerful tool that automatically extracts and condenses key information from PDF documents using advanced 🧠 natural language processing.

A simple AI-powered PDF file summarizer

PDF Summarizer is a web application that allows users to upload PDF files and generate concise text summaries. Users can also view previously generated summaries and access their uploaded PDF files.