AI Multi-Crop

AI Multi-Crop would enable users to define multiple Regions of Interest (ROIs) within a single capture, allowing each ROI to be treated as a distinct object for AI cropping. This feature is ideal for scenarios such as digitizing scrapbooks, 24 slides in a slide sheet, or 9 postcards on a DT Atom black top, where multiple objects are arranged in one capture.

The AI would crop each ROI individually, creating separate variants in Capture One without processing output files, making it possible to handle complex multi-object setups efficiently. Users could define different ROIs and control which areas of the capture are analyzed, avoiding unwanted objects like gloves or hands. Each ROI could be treated uniquely, enabling customized object detection and processing for varied layouts, such as cropping two two-up documents into four distinct variants. This enhances flexibility and precision in digitization workflows involving multiple objects per capture.