Zenfolio, the market leading website builder and business resource for photographers, is launching PhotoRefine.ai – a cutting-edge application that employs artificial intelligence (AI) to vastly reduce the amount of time photographers typically spend grouping, rating and culling images after a photo session. With a focus on privacy and security, images are analyzed locally on the photographer’s computer, without using personal information on the subjects in the photos.
“Zenfolio again is leading the way by introducing exclusive, advanced AI technology to professional photographers.” stated John Loughlin, Chief Executive Officer. “The launch of PhotoRefine.ai is the next step in helping photographers operate more efficiently and grow their businesses through the power of emerging technologies. Zenfolio works hard to enable photographers to spend more time behind the lens and less time behind the desk.”
Zenfolio acquired Optyx, the leader in AI photography automation, in late 2021. The Zenfolio team substantially reworked and enhanced the Optyx platform, integrated it into the Zenfolio offering, and renamed it PhotoRefine.ai.
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Delivering the best photos to clients quickly is critical to the success of a photography business. Photographers typically spend multiple hours reviewing, sorting, grouping and selecting images after a photo session. PhotoRefine.ai dramatically compresses this laborious and tiresome culling process into minutes. In the past, the only alternative was to outsource this task, typically for hundreds of dollars. PhotoRefine.ai now offers a fast, secure and low-cost solution on the photographer’s own desktop.
PhotoRefine.ai is a local desktop app that applies AI to analyze a set of images, then uses blur detection, closed/blinking eye evaluation, image sharpness and exposure to rate each individual image and highlight the best of a group. Photographers control all access and privacy and can customize settings based on their preferences. The app will find and group images according to individuals or categories, leveraging facial-recognition intelligence.