SmileCrop
Buy license Try free CS
Staff time calculator

How many photos would you still open by hand?

Three figures from your clinic. We count hands-on time at the computer only — not the time the program runs on its own.

photos

How many clinical photos your clinic produces in a day.

seconds

Count the whole journey of one photo: crop, rotate, rename, save and file it into the patient’s folder. Exclude time when the computer runs unattended.

Not sure? In our test ten photos handled by hand took 3:57, about — and that run did not include filing them into folders. Yours will differ; this is only a reference point.

$/hour

Optional — fill it in and a money column appears.

i

The result comes from your figures and one measurement. In the clinic of founder MDDr. Michal Hasala, SmileCrop processed 456 photos in a single batch: it saved 423 without intervention (92.8%) and flagged 33 for review (7.2%). That is a flag rate, not a measurement of crop accuracy. Yours may differ — which is why the trial runs on your own photos. How we measured.

Show the maths and assumptions

How this is calculated

  • By hand today = photos per day × seconds per photo
  • Flagged for review = photos per day × 7.2%
  • With SmileCrop = flagged for review × seconds per photo × 28%
  • Difference = by hand today − with SmileCrop
  • Value = (difference in seconds ÷ 3,600) × hourly cost

What the calculation assumes

  • A month is counted as 20 working days and a year as 240. If you shoot on a different rhythm, scale it yourself.
  • The 7.2% is measured: of 456 photos processed in a single batch in the founder's clinic, SmileCrop flagged 33 for review. It is not an accuracy measurement and may differ in yours.
  • A flagged photo is costed at 28% of your manual time. That figure is measured: ten genuinely flagged photos took 5:33 by hand in another program including the filing into patient folders, and 1:32 in SmileCrop’s bulk editor. We cost it against your time for an ordinary photo even though flagged ones are the more awkward kind, so this understates rather than overstates. How we measured.
  • Only hands-on time at the computer is counted. Time the program spends working on its own is not: nobody is sitting there for it.
  • One-time setup is not counted; it happens once, not every day.
  • Unflagged photos were not systematically rechecked. The model allows no time for them.
  • The manual comparison did not include sorting into patient folders — SmileCrop does that too, so that work is missing from the manual figure.
  • The calculation does not assess quality or clinical correctness.