Resource Library > Demo Library > ChatGPT-like Chatbot on Image-based Data
Enterprises rely heavily on technical documents, flowcharts, schematics, and scanned reports for decision-making. However, most AI-driven chatbots focus only on text-based documents and fail to interpret image-heavy content.
The objective of this AI-powered ChatGPT-like chatbot is to build a conversational AI assistant capable of understanding, interpreting, and responding to queries based on diagrams, flowcharts, charts, and scanned PDFs. This chatbot integrates computer vision, OCR, and LLM-based Retrieval-Augmented Generation (RAG) to extract insights from both textual and visual information within documents.
Many organizations, especially in engineering, manufacturing, healthcare, finance, and R&D, work extensively with image-based documents such as:
Traditional document retrieval systems and chatbots fail to understand or process non-text content, leading to:
Our solution bridges this gap by enabling AI to interpret images, recognize patterns in diagrams, and extract text from complex visual structures, making document-based conversational AI more accurate and useful.
To develop a ChatGPT-like chatbot for image-based data, we designed a hybrid AI system integrating:
