Privacy redaction: tooling cannot replace consent
`privacy-photo-remove-face` is built for privacy-first workflows such as public recaps, CCTV excerpts, and community distribution. The key question is not only whether a face is blurred, but whether a person remains identifiable through clothing, location clues, companion context, or metadata traces. Define privacy tiers before editing, separating internal forensic copies from public outputs. Combine redaction methods (blur, local removal, contextual suppression) rather than relying on one filter, and strip sensitive EXIF by default, including GPS and device identifiers. Before release, run identifiability sampling and compliance review, especially for minors and regulated sectors. With risk-based redaction, metadata minimization, and dual-track publishing policy, privacy edits can reduce legal and reputational exposure substantially.
Recommended steps for privacy remove-person edits
- Within `privacy-photo-remove-face`, document jurisdictional blur rules and whether cloud upload is forbidden before any file leaves the vault.
- Run informal recognition tests and verify EXIF no longer leaks geolocation or serial numbers.
- Ship public derivatives stripped of sensitive metadata; keep forensic masters under access control.