Description
Perceptual hashing helps applications compare media by visual or audio similarity instead of exact file bytes. It is useful for duplicate detection, content matching, media organization, and moderation tooling.
This is a similarity library, not a copyright or identity authority. Matches can be approximate, so applications should show confidence and allow human review for important decisions.