ACDSee Photo Studio 2027: local and cloud AI tutorial

Alec Watson walks through ACDSee Photo Studio's AI features for photo editing and library management. He presents the 2027 release as a mix of local AI processing and cloud generation. According to Watson, detection, selection, denoising and upscaling run on your computer without credits under the software license. Generative tools send images to the cloud and consume credits.

The editing examples cover Develop presets, sky replacement and masks for objects, backgrounds and hair. Watson duplicates layers before editing so he can recover original details or reduce an effect with opacity. He also demonstrates manual corrections where automatic masks include unwanted areas, such as a subject's reflection.

For library organization, he names detected faces, confirms suggested matches and searches automatically assigned keywords. The similarity engine finds duplicates and related compositions after processing selected folders. His demonstration covers only part of his library, so it does not establish performance across his full collection.

Watson enlarges an older six-megapixel photo for a 24-by-36-inch print and notes that local processing speed depends on the computer. Cloud examples include extending a canvas, changing clothing with Nano Banana Pro and removing flowers. He uses masks to soften visible seams and differences in image noise around generated areas.