There are 2 repositories under pdf-summarizer topic.
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.
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.
Intelligent PDF Summarizer and Inquiry Companion
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.
This web app will understand the abstract concept & summarize a given PDF using LaMini-Flan-T5-248M Large Language Model built using Streamlit
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.
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.
Summarizes content from YouTube videos, books, and web pages, generating visual diagrams using Mermaid.
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.
An AI-powered notes summarizer and quiz maker with notebook-style summaries and voice support.
A streamlined and efficient PDF Summarizer powered by Google's Gemini AI API. This tool allows users to upload PDFs and receive concise, AI-generated summaries instantly. Built with Streamlit for an intuitive user experience, it is ideal for students, researchers, and professionals who need quick insights from lengthy documents.
A smart AI research agent built with LangChain + Mistral-7B + Streamlit that reads PDFs, searches the web, summarizes Wikipedia, solves math, and explains its reasoning. Open-source and tool-augmented.
SmartBot PDF Assistant is an AI-powered PDF Q&A tool built using Streamlit and Gemini. It allows users to interact with PDF documents in a conversational manner — upload your file, ask anything about it, and get accurate responses derived directly from the content.
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.
Upload a PDF and get a summary of the content.
PDFQuery AI is an intelligent PDF conversation companion built using Flask and Python. Upload a PDF to extract key insights, generate detailed summaries, or explore specific topics interactively. Powered by the Gemini Starter API for natural language understanding, this tool simplifies complex documents into actionable information.
An intelligent, full-stack study companion that lets you upload PDFs, automatically generate AI-powered summaries (with contextual awareness across pages), listen to summaries via text-to-speech, and ask questions through an interactive doubt-solving interface. Built with React + Vite (frontend) and FastAPI + LangChain + OpenRouter (backend)
Easy to use PDF summarizer, using map-reduce like approach from LangChain. Built using OpenAI's models.
Snapmary is online AI powered pdf summarizer which is responsible to summarize your pdf and make the pdf easy to read.
Notiva — Your smart study companion that quickly summarizes large PDF documents into clear, concise notes. Perfect for students, Notiva extracts key points, keywords, and important sentences to help you grasp the essentials without spending hours reading. Save time, stay organized, and study smarter with Notiva.
Link To Deployed Project :
I built this just to get hands-on experience with Hugging Face models, Streamlit, and Transformers.
📄✨ PDF Summarizer is a powerful tool that automatically extracts and condenses key information from PDF documents using advanced 🧠 natural language processing.
Pdf, Doc, Text file and email threads summarizer using genai api and streamlit in the frontend
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.