Searching using images instead of text.
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Visual search is a technology that uses artificial intelligence (AI) and computer vision to help users find information or products using images instead of text-based search queries. Users can upload a photo, take a picture, or select an image to discover visually similar items.
Visual search is commonly used in eCommerce, fashion, jewellery, home decor, travel, and online shopping platforms.
How does visual search work?
Image input: The user uploads a photo or takes a picture of an item.
Image analysis: AI analyzes visual features such as shape, colour, pattern, texture, and objects.
Feature matching: The system compares these features with images in its database or product catalogue.
Result ranking: Matching or visually similar products are ranked based on relevance and other available information.
Results display: Users see matching products or related items they can explore or purchase.
Benefits of visual search
Improves product discovery: Helps customers find items when they do not know the product name.
Enhances user experience: Makes searching faster and more intuitive.
Increases sales opportunities: Helps customers discover relevant products.
Supports mobile shopping: Allows users to search using photos taken on their phones.
Enables product recommendations: Suggests similar styles, colours, and designs.
Example in eCommerce:
A customer sees a gold-plated necklace in a photograph but does not know its name. They upload the image to a jewellery store’s visual search feature. The AI identifies its design and colour and displays similar necklaces available in the store.
Examples of visual search tools: Google Lens, Pinterest Lens, and visual search features offered by some eCommerce platforms.
In short: Visual search uses AI and image recognition to help users discover products and information by searching with images rather than typing keywords.