There are 2 repositories under pdf-processing topic.
Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
Multiple and Large PDF Documents Text Extraction.
A boilerplate solution for processing image and PDF documents for regulated industries, with lineage and pipeline operations metadata services.
Python scripts that converts PDF files to text, splits them into chunks, and stores their vector representations using GPT4All embeddings in a Chroma DB. It also provides a script to query the Chroma DB for similarity search based on user input.
A NPM Package built on top of pdf-lib that provides functonalities like merge, rotate, split,download pdf to disk and many more...
Built with pdf-actions NPM package.
LangGraphRAG: A terminal-based Retrieval-Augmented Generation system using LangGraph. Features include message history caching, query transformation, and vector database retrieval. Ideal for NLP researchers and developers working on advanced conversational AI and information retrieval systems.
An all-in-one GUI management toolkit built with PyQt6, offering a suite of tools for file synchronization, media organization, PDF merging, code formatting, and more.
PdfSnipper is a lightweight and efficient Python package designed to simplify the management of PDF files, pages, and their conversions during various NLP, Computer Vision (CV), or other data processing tasks. The package eliminates the need for repetitive code by providing intuitive, ready-to-use functions for common PDF-related operations.
The Document Summarizer leverages Hugging Face’s facebook/bart-large-cnn model to transform lengthy documents into concise summaries. Built with ReactJS (Vite) for the frontend and Flask for the backend, it supports PDF and text files, offering real-time summarization for researchers, students, and professionals.
This is some useful mini projects that I had worked for self-learning Python programming.
A side project to easily get and annotate questions and answers to the PsychometryBot project DB using computer vision and pdf parsing
A web application for preparing books and magazines for offset printing. Automatically arranges PDF pages for commercial A3 printing, supporting both Arabic (RTL) and English (LTR) books. تطبيق ويب لتحضير الكتب والمجلات للطباعة على مطابع الأوفست. يقوم تلقائياً بترتيب صفحات PDF للطباعة التجارية على ورق A3، مع دعم الكتب العربية والإنجليزية.
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
A statistical data display and notifier app for Covid-19 pandemic.
This project implements a Retrieval Augmented Generation (RAG) system that answers questions based on the PDF document. It utilizes Weaviate as a vector database for efficient retrieval of relevant information and Gemini to generate natural language responses.
Opinionated and Sophisticated Document Region Analyzer.
A powerful Chromium extension that leverages the multiple AI APIs to assist with various text operations, image analysis, and PDF processing.
Berrylit is a simple chatbot interface that allows users to upload a PDF file and ask a question related to its contents. The chatbot uses the Berri API for processing.
📚 AI-Powered Book PDF 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
Freedom to use PDF, DOC and other document processing
Extensive analysis of user guides in Swiss government-to-citizen software, correlating guide features with canton socio-economic factors.
Extract text from PDFs, PPTs, & URLs (with OCR support). Converts PPT to PDF & handles files or folders. 🦍
PDF Professor 1.0 extracts and processes PDF text, analyzed by Ollama for summarization, data extraction, and insights. More coming soon!
This project performs multimodal document analysis and query retrieval by downloading PDFs, converting pages to images, indexing them for semantic search, and analyzing retrieved images using visual-language models like Qwen2VL and Blip2.
PDF Extractor API is a FastAPI project for extracting information from PDFs. It includes user authentication, PDF uploading, and text extraction. The API supports secure PDF uploads, keyword-based extraction, and rate limiting.
CLI tool to merge, compress, extract or delete pages from PDF
Image Automatic Cropping Watcher: A tool that automatically detects PDF files, converts them to images, corrects perspective distortion, and compiles them back into PDFs.
A PDF processing project with backend integration using Python-Flask 🚀
The goal of this project is to eliminate the need for paper by digitizing the process of handling client passport information.
Azure Document Intelligence Result Processor: A toolset for annotating PDFs based on Azure Document Intelligence analysis results, featuring a React web application and a standalone Python script for processing and visualizing extracted data with confidence indicators.
A modern, intelligent invoice processing system with advanced multi-format data extraction capabilities. Process invoices from PDFs, Excel files, and images with smart data recognition.
MistralOCR is an open-source application that transforms documents into structured data using Mistral AI's OCR capabilities. Built with FastAPI and Streamlit, it provides an intuitive interface for extracting and processing text from PDFs and images, making document digitization effortless and accurate.
An AI-powered chatbot that lets users upload multiple PDFs and ask questions based on their content. It extracts text, processes it with FAISS, and retrieves answers using Google Generative AI (Gemini Pro) through a simple Streamlit interface.