MaterialSearch indexes local photos and videos to enable semantic search through natural language queries. It provides multi-modal search capabilities including text-to-image, image-to-image, text-to-video, and image-to-video retrieval. The system calculates image-text similarity using AI models to match user descriptions with relevant local media content, with the core search logic implemented in a separate Python package.