pdf-processing

Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.

library supporting NLP and CV research on scientific papers

Multiple and Large PDF Documents Text Extraction.

The Privacy Firewall for LLMs

A boilerplate solution for processing image and PDF documents for regulated industries, with lineage and pipeline operations metadata services.

Official Python client library for Nutrient Document Web Services API - PDF processing, OCR, watermarking, and document manipulation with automatic Office format conversion

This library provides a type-safe and ergonomic interface for document processing operations including conversion, merging, compression, watermarking, and text extraction using Nutrient DWS Processor API.

MCP server for seamless document format conversion and processing

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.

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.

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.

AI-powered RAG-based tool for summarizing, extracting insights, and answering questions about research papers with high accuracy

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.

📚 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

Polymind is a powerful multi-modal Telegram bot built with Gemini, DeepSeek, OpenRouter, and over 50 cutting-edge AI models. It offers seamless conversational intelligence, Mermaid diagram rendering, PDF/DOCX analysis, image generation, and collaborative tools—all in a single bot interface.

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.

A side project to easily get and annotate questions and answers to the PsychometryBot project DB using computer vision and pdf parsing

This is some useful mini projects that I had worked for self-learning Python programming.

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.