chn-lee-yumi/MaterialSearch
Semantic search engine enabling natural language and image-based retrieval across local photo and video libraries.
Not currently ranked — collecting fresh signals.
star history
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.
Frequently asked
- What is chn-lee-yumi/MaterialSearch?
- Semantic search engine enabling natural language and image-based retrieval across local photo and video libraries.
- Is MaterialSearch open source?
- Yes — chn-lee-yumi/MaterialSearch is open source, released under the GPL-3.0 license.
- What language is MaterialSearch written in?
- chn-lee-yumi/MaterialSearch is primarily written in HTML.
- How popular is MaterialSearch?
- chn-lee-yumi/MaterialSearch has 1.9k stars on GitHub.
- Where can I find MaterialSearch?
- chn-lee-yumi/MaterialSearch is on GitHub at https://github.com/chn-lee-yumi/MaterialSearch.