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How It Works

ViSenze API Automated Tagging

Image sent to ViSenze API

ViSenze API Automated Tagging and Moderation

ViSenze API analyzes content of the images (image quality, fashion attributes)

ViSenze API Automated Tagging Accuracy

Tag values describing the image content returned

Image analysis to identify and tag product attributes for improved search experience

Automated Product Tagging Image 1 for Fashion

Full Sleeves
Turtle Neck

Long Below Knee
Yellow With White

Open Heels

Automated Product Tagging Image 2 for Fashion


Dark Grey

Image analysis to identify and tag product attributes for improved search experience

Occasion: Casual
Casual Style

Occasion: Dating
Dating & Casual Style

Occasion: Business
Minimalism Style

Occasion: Nightout
Bohemian Style

Occasion: Business
Minimalism Style

Occasion: Business
Preppy Style

Image analysis to identify and moderate content for quality

Automated Image Moderation and Tagging
Automated Image Moderation and Tagging Blur Images Blur Images
Automated Image Moderation and Tagging Watermarks Watermarks
Automated Image Moderation and Tagging Collage and Noise Collages
Automated Image Moderation and Tagging Zoom Pan Details Loss Of Details
Automated Image Moderation and Tagging Missing Model Maneuqin Missing Models

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Why leading brands trust ViSenze





Customer Stories


Uniqlo uses ViSenze's Search by Image to enable shoppers to take a photo of an item in store and search online.

This eliminates ineffective and time consuming keyword guessing attempts during the product search and discovery process on uniqlo.co.jp. Instead, shoppers can now just take a photo of an item they see on the aisle, and look for matching items in UNIQLO’s online and offline stores.

Rakuten implemented the Search by Image solution from Visenze to enable users with better product discoverability. By introducing the new capability on its site, the company gave its mobile users the ability to use images or screenshots of products, instead of text, to search for visually similar products. In addition to search and discoverability, Rakuten also enhanced its recommendation engine by enabling the option to narrow down search by enabling search by color.

PatSnap is used by R&D, IP and business intelligence teams to search and analyze documents—including 120+ million patents—containing data on how companies worldwide are innovating.

Unlike online commerce, PatSnap uses ViSenze solutions to help power a unique online experience for its customers, helping them search and analyze intellectual property assets to power research and development.

Caratlane is one of India’s leading online jewellery stores and uses ViSenze Visually Similar Product Recommendations to power Find Similar recommendations on its website. Consumers can explore similar products to the one they are looking at as these recommended products are shown automatically on every product page, allowing easy browsing and navigation to help shoppers narrow down their choices and complete the purchase.

Zalora, one of the fastest growing fashion retailers in Asia, uses Visually Similar Product Recommendations and Search by Image to help shoppers effectively discover more than 200,000 items on their site.

The use of Artificial Intelligence powered image recognition helped Zalora improve user experience and engagement on their website and mobile app.

Hipvan is Singapore's favorite online furniture mall for stylish designs, quality products at honest prices.

By implementing Search By Image from ViSenze Hipvan saw an increase of 121% in engagement rate for shoppers who used the new functionality. In addition, shoppers who searched using an image were 2.7x more likely to convert. Hipvan was also able to improve marketing ROI as they reduced cost per impression by 32% by advertising the new app functionality