Calotype
AI-native family photo management.
Calotype solves the “who is that?” problem at the scale of a family photo library. Upload photos and it detects every face, groups similar ones, and queues them for identification. Select a cluster of one person and name them all at once. After that, new photos of them are matched automatically.
- 85% similarity suggests a match
- 95% similarity accepts it automatically
How it works
- Name a whole cluster at once Faces are detected on upload and grouped by similarity, so one action identifies the same person across hundreds of photos.
- AWS Rekognition end to end Face detection on upload, a Rekognition Collection per tenant for indexing, and similarity search to group and match faces.
- Always in sync Background workers keep the face index and approval queue re-synced as new identifications come in.