Enhancement Request: Add OCR-Powered Sensitive Information Detection and Masking to Storyline 360

Please consider adding OCR-powered text detection and masking to Storyline 360.

When designers create software simulations from screenshots or screen recordings, the captured screens may contain names, identification numbers, dates, contact information, or other sensitive data. Designers currently must inspect and mask this information manually on every slide.

An OCR feature could scan individual slides or an entire project, identify potentially sensitive text, and present each result for developer review. The developer could then mask the information with an opaque redaction, substitute synthetic data, or dismiss the result.

Helpful options would include batch scanning, configurable detection types, custom identifier patterns, project-wide replacement, a pre-publish scan, and a report of reviewed and unresolved items.

The feature should include human verification and clearly communicate that OCR detection does not guarantee that every sensitive item has been found. This would make simulation development faster, more consistent, and safer for organizations working with privacy-sensitive systems.