Imagga Facial Recognition API: Reviews, Testimonials and Expert Opinions

Imagga Content Moderation API helped ViewBug automate the process of filtering adult images. ViewBug is a platform for visual creators with over 2 million members. The team needed a scalable solution... to moderate tens of thousands of daily uploads. Imagga's NSFW classifier provided reliable, real-time image moderation. This allowed ViewBug to keep their community safe and focus on business growth.
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Imagga's auto tagging and cropping solutions helped FotoWare make image content searchable in their digital asset management platform. FotoWare needed a way to assign consistent keywords to files for... better search and organization. Imagga's API enabled automatic tagging and cropping, saving time for users and improving visual data organization. The solution offered scalable services, easy metadata creation, and fast implementation. Since 2017, FotoWare customers have benefited from automated image management and improved discoverability.
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World Singles needed help with content moderation on their dating platform. They used Imagga's image recognition technology. Imagga helped them improve how they moderate images. This made the platfor...m safer for users. The case shows how Imagga's solution worked for World Singles.
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Deliety is a German e-commerce retailer with over 25,000 products. They needed a way to let customers search for products by color, but supplier images did not include color information. Deliety trie...d to build their own solution, but it was hard to handle products with more than one color. They used Imagga's API to tag product images with primary and secondary colors. This made color search possible and cut development time from a year to a day. The process now runs automatically and saves time for the team.
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SEEDPOST wanted to help KIA match the new K5 car with each customer's lifestyle. They used Imagga's Auto-Tagging and Color Extraction APIs to analyze images from users' social media. Users picked thr...ee images that showed their lifestyle. The system matched these images to 36 different KIA K5 models. The campaign had 3.5 million pageviews and 840,000 visitors engaged.
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Tavisca had over 25 million unclassified hotel images from many sources. They needed to organize these images into clear categories. Imagga's image categorization technology helped them sort and clas...sify the images. Tavisca used Imagga’s API to build a custom hotel photo classifier. As a result, they categorized 25 million photos with an 86% precision rate for the top 5 categories. This improved the quality of hotel photos shown to millions of users each month.
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