Image input
File, URL, clipboard and drag-and-drop.
Local product search by photo, URL, drag-and-drop or clipboard image with vector database catalog indexing.
SiteZilla Image Searcher connects OpenCart 2.3 to a local image-vector search backend. Customers can upload a file, paste an image, drag and drop it, or provide a direct URL. The module receives matching product IDs and renders current OpenCart product cards.
OpenCart remains the source of product truth. The AI server computes embeddings and stores vectors in Qdrant or another vector database.
The customer submits an image. The backend returns product_id and score pairs. OpenCart loads names, prices, descriptions, images and links using its catalog model.
The admin interface supports preview, filtering, batch processing, image hashes and local status tracking.
A separate AI server implementing /health, /stats, /index/product, /search/image and /delete/product is required.
No. This build expects a local AI backend.
Yes, or another vector database selected for the backend.
Send your OpenCart version, theme, catalog size and server details.
Discuss implementationOpenCart sends product images to a local AI backend and receives ranked product IDs.
File, URL, clipboard and drag-and-drop entry points.
Names, prices and URLs are loaded from OpenCart.
File, URL, clipboard and drag-and-drop.
Product and image embeddings in a vector DB.
Current product cards and standard actions.
Keep commerce data in OpenCart and similarity search in the AI service.
Send catalog size, theme and server details.
Local product search by photo, URL, drag-and-drop or clipboard image with vector database catalog indexing.
Discuss the module
Describe the task — we will review options and suggest the next step.