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.
MCP server for seamless document format conversion and processing
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.
Anthropic's Contextual Retrieval implementation with visual chunk comparison. Preview context enrichment before/after embedding.
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.
Local, privacy-friendly resume analysis: convert, classify, and get advice using TF‐IDF, Logistic Regression, and sentence-transformer embeddings.
AI-powered RAG-based tool for summarizing, extracting insights, and answering questions about research papers with high accuracy
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...
A powerful, multi-modal Telegram bot leveraging cutting-edge AI technologies including Gemini, DeepSeek, OpenRouter, and 50+ AI models for comprehensive conversational assistance, media processing, and collaborative features with MCP (Model Context Protocol) integration.
📚 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
Built with pdf-actions NPM package.
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.
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 Python library for extracting tables from PDF documents using computer vision and image processing techniques. It converts PDF pages to images, detects tables, recognizes their structure, and outputs clean data in JSON format.
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