KristianMSchmidt/semantic-art-search
Semantic Art Search – Explore art through meaning-driven search
This search engine helps art enthusiasts, researchers, and curators explore digitized art collections by understanding the meaning within images, rather than just relying on keywords in titles or descriptions. You can input natural language queries like themes, emotions, or styles to find relevant artworks across multiple museums, receiving a ranked list of visual art results. It's for anyone seeking to discover art based on visual content and abstract concepts.
Use this if you want to find artworks by their visual content, themes, emotions, or styles using natural language, even if those concepts aren't explicitly mentioned in the art's metadata.
Not ideal if you need to search for highly specific, factual metadata points that are not visually or semantically represented in the artwork itself, or if you're looking for art types beyond paintings, prints, and drawings.
Stars
13
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 21, 2026
Commits (30d)
0
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