Image Embedding
Generate SigLIP or DINOv2 vectors for image similarity, nearest-neighbor retrieval, and duplicate detection.
Embedding Output
Embedding vector payload
Store embeddings in your vector database and use cosine similarity for search and recommendation.
No embedding yet
Submit an image to generate its vector representation.
Use the API directly
Every run maps to POST /api/image/embedding/v1.
Generate vectors from URLs or uploads using the same payload in your backend.
Useful when
- Index images for semantic search and retrieval.
- Cluster visual assets by similarity.
- Power recommendation systems using vector distance.