Cluster C5: Image Processing
Image privacy: how to censor and protect images
Screenshots and photos often include sensitive fields that users overlook under delivery pressure. A privacy-first image workflow reduces accidental data exposure by making redaction and verification mandatory steps before sharing.
1. Identify high-risk regions early
During capture or upload, identify personally identifiable information, API keys, account numbers, and internal URLs. Mark these zones before editing starts so every stakeholder reviews the same privacy boundary.
2. Choose irreversible redaction by default
Blur effects can be partially reversible with aggressive image processing. For highly sensitive content, prefer solid block redaction or crop removal, then export flattened outputs to prevent layer recovery.
- Use crop when the hidden region is not needed for context.
- Use solid masks for credentials and personal identifiers.
- Use blur only for low-sensitivity visual obfuscation.
3. Verify before distribution
Run a final zoom-level review and check metadata exposure risk before publishing to docs, tickets, or social channels. This final pass is low cost and prevents high-impact incidents caused by rushed uploads.
Practical input/output example
Input
Support screenshot with email + token Need to share in public issue
Output
Sensitive fields fully redacted Cropped and compressed share-safe image