AI Image Analysis
Photos read for what's actually in them — condition, category, defects, compliance — without a person opening each one.
Whether it's verifying product photos, checking listing images for quality, or flagging damage in uploaded photos, image analysis turns a visual review task into an automatic one. We build this against the specific categories your business cares about, not a generic "what's in this photo" model.
Common uses: auto-tagging product images by category, flagging low-quality or non-compliant listing photos before they go live, and verifying uploaded documents actually match what they claim to be.
Accuracy depends heavily on training against your actual image categories — a defect on a garment looks nothing like a defect on a piece of furniture, and a generic image-recognition model tends to blur that distinction. We tune classification against sample images from your own catalog before it goes live.
Where a photo doesn't clearly meet the bar — ambiguous condition, unclear defect, borderline compliance — it gets queued for human review rather than auto-approved or auto-rejected, keeping the final call with your team.
What it can check for
Auto-Tagging
Product or listing photos categorized automatically at upload.
Quality & Compliance Checks
Flags low-quality or non-compliant images before they go live.
Document Verification
Confirms uploaded photos actually match what they claim to be.