Real pipeline output, not a claim
No real customer order has run through this service yet, so we won't show you a fake "customer photo." What we can show honestly: the exact same pipeline a paid order uses, run against 3 test images built to probe normal, messy, and edge-ambiguous cases — including the transparent PNG and white-background JPEG it actually produces, and the case where it correctly stops and flags instead of guessing.
Case 1 — normal shape PASS · 0 flags
Clean, well-separated foreground. Fully automatic, nothing to review.
white-background JPEG
transparent PNG
Case 2 — messy shape PASS · 0 flags
More uncertain-edge pixels than Case 1 (about 5% of the alpha channel), but still resolved automatically — no flag needed, no guess forced on you.
white-background JPEG
transparent PNG
Case 3 — edge-ambiguous shape REVIEW_REQUIRED · flagged
The subject touches the frame edge — about 16% of the border is foreground. This is exactly the case the service is built to catch: instead of silently cutting the subject off or guessing where it continues, it's flagged for your review.
white-background JPEG
transparent PNG
Flag: SUBJECT_TOUCHES_FRAME_REVIEW_EDGES
Why this, not stock "before/after" photos
Anyone can post an impressive-looking before/after. What actually matters for a paid, no-manual-review service is what happens on the case that could go wrong — Case 3 above is that case, shown honestly rather than asserted.