ACDSee Photo Studio Ultimate 2027: editing and AI

Rodrigo's beginner workshop covers ACDSee Photo Studio 2027, starting with importing photos and finding images through metadata and AI keywords. He uses ratings to separate keepers from unwanted shots, then combines ratings with color labels to narrow searches. The reject tag lets him flag photos before deleting them.

The metadata walkthrough explains that AI keywords do not initially become file keywords. Rodrigo adds selected suggestions and configures metadata embedding on shutdown so the information can accompany files opened in other software.

In Develop mode, he demonstrates non-destructive cropping, subject masks and radial gradients. He then applies a batch preset that identifies subjects separately in each photo. According to the speaker, batch Develop with AI selections does not consume credits. He also shows how to save a custom preset and revisit its masks.

Generative Edit uses Google's Gemini models in the demonstration. Rodrigo compares Nano Banana 2 Light with Nano Banana Pro when replacing a house with greenery. He finds remaining house details and artifacts in the Light result, while Pro removes the house completely in this example. Generative operations consume credits, and he cautions that results can be uncertain. The final example removes a selected car onto a new layer in Edit mode; the speaker notes that this mode is unavailable on Mac.