Case Study: ANP achieves faster, more accurate photo tagging with Mobius Labs

Leading European press agency ANP deploys next generation image tagging to improve visual search and increase revenue

ANP, the largest press agency in the Netherlands, needed a faster way to manage the flood of new photos entering its archive. With more than 100 million images and up to 50,000 new uploads a day, manual tagging and facial recognition were too slow, creating delays of 24 to 72 hours and making it harder for clients to find relevant images. ANP worked with Mobius Labs and its computer vision SDK to address this challenge.

Mobius Labs deployed its SDK on ANP’s own platform to automatically tag photos and identify faces in milliseconds, including objects, actions, and even emotional content. The solution improved search relevance, boosted staff productivity, helped increase revenue and operational efficiency, and supported GDPR compliance because ANP keeps control of its data. In testing, Mobius Labs achieved a 94% success rate in image classification, helping ANP future-proof its archive and strengthen trust in journalism.

Anp

Patrick Rasenberg

Product Manager Photo