Some shoppers know the look they want but cannot name it. AI Visual Search & Shop the Look gives them a photo-based route into your range, alternatives from a product they already like and curated scenes linked to actual catalogue items.
Search by camera or uploaded image
The storefront camera control accepts a supported photo from the camera or library. Similar-products mode compares it with indexed catalogue images and displays matches through your product cards. Category controls refine the selection without sending the photo again.
Find similar and the Visually similar product section offer another route, using existing catalogue vectors. Check real product suitability: colour and silhouette alone do not establish the same size, material or technical compatibility.
Publish a look your team has verified
Create a scene and add numbered product hotspots manually, or use Detect Items with AI to propose objects and catalogue matches. Confirm, swap or remove suggestions before they are shown publicly. Assign store views and insert the Shop the Look CMS widget; looks can also appear on related product pages.
Individual product controls let customers choose what to buy. Add all to cart adds supported items without required options; a sized or configurable product links to its page rather than guessing the customer's selection.
Customer-photo Shop the look is a separate mode: a vision model identifies items in the uploaded scene and presents matching catalogue candidates for each. Evaluate cluttered scenes separately from clean single-object photos.
Keep image discovery operationally manageable
Index the base image, small image or up to four gallery images per product. Status & Index shows coverage, queue, vector backend and a cost estimate. Changed images are re-embedded. The anonymous search log records result counts, first clicks and provider/budget problems.
Use similarity thresholds, visitor and website limits and AI Core budgets. Results depend on clear catalogue photography; indexing more poor images does not guarantee better matches.
Requirements and photo handling
Magento Open Source or Adobe Commerce 2.4.7–2.4.9, PHP 8.2–8.5 with the documented image extensions, CommerceGears Core and AI Core. Luma and Hyvä are supported. Voyage AI provides image embeddings; item detection also needs a supported Anthropic or OpenAI vision model.
Uploaded photos are processed by those providers. EXIF is removed and images are re-encoded; local disk retention is normally off but can be enabled for troubleshooting. HEIC depends on browser conversion; JPEG, PNG and WebP are the documented formats.
Read the Visual Search and Shop the Look guide and test one photo, one similar-product journey and one reviewed look before launch.
See the workflow
Try the admin demo. Storefront examples are available on the Luma demo and Hyvä demo. Demonstration or offline-test data shows the workflow; evaluate AI matching and forecasts with your own representative catalogue.
Photo discovery
- Camera or library upload on supported devices
- Similar-products and customer-photo Shop-the-look modes
- Store product cards with the relevant pricing context
- Category narrowing without sending the image again
- Supported image formats and configurable upload limits
Product alternatives
- Find similar from the product gallery
- On-demand Visually similar list
- Existing catalogue vectors used for similar-product retrieval
- Cached suggestions per product and customer group
Merchant looks
- Create looks with store-view assignments
- Manual product hotspots using name or SKU
- Optional AI item detection and suggested matches
- Confirm, swap or remove suggestions before publication
- CMS widget and optional related looks on product pages
- Add-all for items without options; option products open their pages
Index and operations
- Base, small or up to four gallery images per product
- Changed images re-indexed through AI Core
- Coverage, queue, backend and cost estimate in Status & Index
- Anonymous search log with results, clicks and problems
- Similarity thresholds, visitor/site limits and shared budgets
Providers and processing
- Voyage AI for image embeddings
- Anthropic or OpenAI vision for item detection
- EXIF stripping and re-encoding
- No normal disk retention; optional troubleshooting retention
- Photo processing by providers must be reflected in your deployment review
Questions before you install
Does image search identify the exact product?
It returns visual matches, not guaranteed identity or technical compatibility. Materials, dimensions and suitability still need the product information.
Are AI-created hotspots published immediately?
No. Item detection proposes matches and your team confirms, replaces or removes them before merchant-look suggestions are shown to shoppers.
Does Add all to cart choose sizes for customers?
No. Products requiring options open their product pages. The combined action adds supported products that do not need options.
Which providers do I need?
Voyage AI for image embeddings. AI item detection also requires a supported Anthropic or OpenAI vision model through AI Core.
Are uploaded photos saved?
Not normally. The module strips EXIF and re-encodes images, and sends them to configured providers for processing. Optional troubleshooting retention changes local storage behaviour.