Case Study - GenieDocs: Conversational AI for Documents

Overview

GenieDocs is an intelligent AI-powered platform that enables users to chat with documents using natural language. Whether it's a PDF, Word, Excel, or text file, GenieDocs allows users to upload and interact with documents as if they're having a conversation. This eliminates the need for manual searching, scrolling, or reading through long files—users can simply ask questions and receive accurate, context-aware responses powered by Generative AI.

Built on a robust Flask and Python backend with PostgreSQL for data management, GenieDocs leverages state-of-the-art language models and vector embeddings to understand document content at a deep semantic level. It supports multi-document chat, role-based access, cloud integration (Google Drive, OneDrive), and a simple web interface that mirrors the user experience of tools like ChatGPT. The application is ideal for professionals, students, legal teams, educators, and enterprises that handle large volumes of text and need quick insights.

Designed for scalability and cost-efficiency, GenieDocs can be self-hosted or integrated with API platforms like OpenAI. With built-in support for multilingual queries, document history, and analytics, it offers a powerful yet intuitive way to bring AI into everyday document workflows. Whether you're preparing for meetings, analyzing reports, or simplifying knowledge access, GenieDocs transforms how users work with their data.

What we did