Lykdat is a fashion-focused visual search platform offering reverse image search, deep tagging, and item detection for clothing and accessories. It provides both a consumer-facing image search app and a developer API/SDK that lets ecommerce brands add image search, automated product tagging, and price alerts to their stores.
Find fashion items across the web by uploading or linking to a photo instead of typing keywords.
Automatically generate descriptive tags, labels, and color attributes for product catalog images.
Detect individual fashion items in an image with bounding boxes and confidence scores.
Let shoppers search your own product catalog using a photo via REST API or SDK.
Subscribe users to notifications when watched items change price or come back in stock.
Background removal and image cleanup tool for apparel product photography.
Pre-built UI components that drop image search and price alerts into web storefronts with a few lines of code.
Let shoppers upload a photo from social media and surface visually similar items from your catalog.
Run new catalog uploads through deep tagging to populate attributes like color, pattern, and category without manual data entry.
Power wishlist and notification features for fashion retail apps using the alerts API.
End users find clothing items spotted in photos when keyword search fails.
Built-in price display in USD, EUR, GBP, AUD, CAD, INR, CHF, and NGN for global shoppers.

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