Dental photo automation, built by a practising dentist

Stop editing every routine dental photo

A photo editor helps you click faster. SmileCrop takes the routine clicks off your hands. It detects the shot type, crops, rotates, names and files each image to the patient folder. No cloud step. No typing patient names. No waiting at the computer.

Same series, two workloads

Either you do the work, or SmileCrop does

From the SD card to the patient folder. The real difference is not the feature list — it is who does the work.

A photo editor

Nine steps. All of them yours.

  1. Import the series
  2. Place each image into its template slot
  3. Crop each image
  4. Straighten each image
  5. Match the series
  6. Check the result
  7. Export the files
  8. Rename them
  9. File them to the patient folder

Every image passes through human hands. A better editor makes those steps faster. It does not make them disappear.

SmileCrop

Two steps yours. The rest is the software.

  1. Register an SD card or watched folder once
  2. Insert the card — or just keep shooting
  3. Detects each photo type
  4. Crops and rotates it
  5. Names the files
  6. Identifies the patient from the free SmileQR code
  7. Files them into the patient folder
  8. Flags uncertain results for review
  9. Moves the originals to backup

It knows the card by its volume serial, even when Windows gives it a different drive letter. Insert it and the batch starts on its own — no dialog, no babysitting.

Don’t measure the computer. Measure the work left for a person.

Processing speed is not the point when the software runs unattended. The number worth watching is how many photos still come back to a person.

1,000 photos handled by hand

In an editor, a person must place, crop, straighten and check every image. A thousand photos means a thousand trips through the manual workflow.

~70 photos flagged for review

In the founder’s own clinic, SmileCrop flagged about 7% of processed photos. For every 1,000, that puts roughly 70 in the review queue — each already classified, cropped and rotated, ready for a human decision.

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Exactly what that number means: the ~7% is a flag rate observed in one clinic, not an accuracy measurement. The unflagged photos were not systematically rechecked for errors the software might have missed. Your result will depend on how consistently your team shoots. That is why the full trial runs on your own photos: don’t accept our number — measure yours.

SmileCrop is not built for everything. That is why it is good at one thing.

MDDr. Michal Hasala built it for the recurring photo workflow in his own dental practice. It is not pretending to replace every photographic tool.

SmileCrop targets one expensive problem: the routine work that repeats patient after patient. That is the job automation should remove, not merely speed up.

Your photos. Your workflow. Your number.

Don’t take our word for it.
Count your exceptions.

Run SmileCrop on your own clinical series. See how many photos it flags and how much of your real workflow it takes over. Full version for 14 days. No credit card.

Windows 10/11 · All processing stays local and patient photos are never uploaded · No credit card · SmileQR is free