Anonymize Images for Research
Privacy-first · Faces blurred on-device · No originals stored
Research and clinical teams often need to preserve the useful part of an image while removing anything that can identify a participant, patient, staff member, or location. The right workflow is about minimization and repeatable review.
Common identifiers to remove
- Faces in the primary frame or background
- Badges, wristbands, labels, charts, or screens
- Room numbers, addresses, and metadata
Why a repeatable workflow matters
Research teams need a process that different reviewers can follow consistently. Start with automatic face blur, then add manual masks for non-face identifiers and keep a simple final-review checklist for every export.
Publication-safe review steps
- Check full-size image and thumbnail crop.
- Inspect reflections and screens.
- Confirm that filenames, metadata, and embedded labels no longer reveal identity.
Related guides
Explore blur vs pixelate, privacy for parents, and online tool comparison.