Understand how visual search technology enhances product discovery through image-based queries and similarity matching.
Visual search enables shoppers to find products by using images rather than text queries. This technology allows customers to search your catalog by either uploading an image or finding similar products to those they’re already viewing.
With visual search, your customers can:
Visual search uses advanced computer vision and machine learning algorithms to analyze images and find visually similar products in your catalog.
Image Analysis
When a customer uploads an image or selects a reference product, our system analyzes the visual features of that image
Feature Extraction
The system extracts key visual characteristics such as color, shape, pattern, and texture
Vector Representation
These visual features are converted into vector embeddings (numerical representations) that can be efficiently compared
Similarity Matching
The system compares the vector representation of the query image with the vectors of all products in your catalog
Result Ranking
Products are ranked based on their visual similarity to the query image
Layers offers two main types of visual search functionality:
Allows customers to upload an image and find similar products in your catalog.
Displays visually similar products to the one a customer is currently viewing.
You can implement visual search on your storefront in several ways:
Strategic Placement
Position the Image Search toggle in your site’s main navigation or search area. Place the Shop Similar toggle on product pages where customers can easily find it.
Clear Labeling
Use clear and intuitive labels for your visual search buttons, such as “Search with Image” or “Find Similar Items.”
Highlight the Feature
Consider temporarily highlighting the feature for new users to increase awareness and adoption.
Mobile Optimization
Ensure your visual search implementation is mobile-friendly, as many customers will use this feature on mobile devices.