Cropping does not start at the image edge
A frontal intraoral image needs a different composition from a facial profile or an occlusal view. A practical system therefore identifies the photo type before applying the matching orientation and crop. The goal is consistent documentation, not creative retouching.
What can be automated
- Recognition of a supported standard photo type.
- Orientation and cropping for that type.
- Naming and placement in the configured sequence.
- Flagging uncertain or non-standard results for review.
Why manual review still matters
No automatic crop is correct in every circumstance. An unusual angle, glare, atypical retractor position, or non-standard image may need correction. SmileCrop lets the user adjust the result inside the app and preserve original files when backup is enabled.
SmileCrop focuses on standard orthodontic intraoral and extraoral documentation photos. It is not designed to crop every dental macro or detail image.
How cropping fits the complete process
Cropping is only one part. The larger saving comes when naming, ordering, and saving to the correct patient follow automatically. SmileCrop therefore uses an initial QR frame and configured output templates. See the workflow guide and the complete list of supported photo types.
Test cropping on your own photos
The trial shows how the system works with your practice's specific capture technique.