Real-World Case Studies and Customer Success Stories with Imagga Image Auto Tagging

IntelligenceBank needed a better way to organize and tag large numbers of images. Manual tagging was slow and hard to keep consistent, especially with millions of images uploaded each month. They cho...se Imagga’s Auto-Tagging API for its high accuracy and large keyword library. The solution automated the tagging process. This saved users a lot of time and made it easier to find and manage visual data.
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Eden Photos uses Imagga’s Auto-Tagging and Categorization APIs to organize personal photo collections on Mac OS and iCloud. Eden Tech Labs needed a solution to recognize hundreds of objects in person...al photos and suggest many keywords. Imagga’s technology enabled automatic keyword tagging and categorization, making photo search and organization easy for both professional photographers and enthusiasts. The app runs in the background and integrates with Photos, Finder, and Spotlight Search. Eden Photos improved photo search and automation for users.
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Imagga's auto tagging API helped Funambol improve its One Media Hub product. Users struggled to find specific photos in large collections. Imagga's solution made it easy to search images by themes an...d terms. Funambol integrated the API in just one day. The new feature added value to Funambol's premium package and improved user experience.
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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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Unsplash is a website for free, high-quality photos. They had a problem with fast growth and needed better search for users. They used Imagga’s Auto-Tagging API to tag and categorize all photos. This... made it easier for users to find images by keywords and categories. After using Imagga, Unsplash went from 20,000 to 4,000,000 downloads a month and now has 350 million photo views. They have the highest engagement rate per photo compared to other photo sites.
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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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Imagga image recognition helped Tavisca build a custom hotel classifier. Tavisca used Imagga's technology to improve the relevance of hotel photos. Millions of users see better hotel images each mont...h. The solution made hotel photo selection smarter for real estate platforms. Imagga's API powered this improvement for Tavisca.
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Swisscom needed a way to organize large amounts of photos for its myCloud service. They wanted a solution that could sort images by topic and work on their own servers for privacy. After testing seve...ral options, Swisscom chose Imagga for its strong technology and easy setup. Imagga's API helped Swisscom improve how users manage and search their photos. The solution met strict privacy needs and made photo organization automatic.
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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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PlantSnap wanted to build an app to identify any plant in the world. They needed to train a model on over 320,000 plant species using 90 million images. Most providers could not handle this scale or ...provide high accuracy. Imagga used its Custom Categorization API and powerful hardware to help PlantSnap train its model 10 times faster. The result was a classifier with a 90% precision rate for the top 5 results. PlantSnap now has over 350,000 paid downloads and high customer ratings.
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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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Seoul National University wanted to make recycling fun and effective. They needed a smart sensor system to recognize and sort trash quickly. Imagga helped by training a custom image classifier and ad...vising on hardware setup. The system achieved over 95% sorting accuracy. The project team found Imagga’s API easy to use and integrate.
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World Singles is a dating platform where users upload thousands of photos every day. They had trouble keeping their platform safe and trusted because manual photo moderation was slow and inconsistent.... They used Imagga’s AI tools to automate content moderation, including adult content detection, text detection, and gender and age verification. This made their moderation workflow 12 times faster. The platform became safer, more compliant, and users trusted it more.
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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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