Find Images with Natural Language
State-of-the-art semantic search for your visual datasets. Search by concepts, objects, and emotions instead of manual tags.
State-of-the-art semantic search for your visual datasets. Search by concepts, objects, and emotions instead of manual tags.
Uses Google's state-of-the-art SigLIP-2 model to turn images and text queries into rich vector embeddings.
Optimized search architecture ensures sub-second response times even for datasets with millions of images.
Runs entirely on your infrastructure. Your assets and models never leave your private network.
Find products by visual similarity. Users can search with photos of items they want.
Search massive stock libraries and brand-approved images by complex, abstract concepts.
Find inspiration based on mood boards. Discover existing art with a similar style or palette.
Identify medical images, technical diagrams, or mechanical components from a capture.
Google's state-of-the-art model for deep visual-textual understanding.
Efficient vector storage and high-speed retrieval using BeaverDB's optimized core.
The entire platform is managed through a clean, interactive Streamlit UI.