How we delivered 1,200 hand-cut clipping paths in four days without missing an edge
A real bulk clipping path job — 1,200 jewelry shots, hand-cut for fine chains, PSD + transparent PNG, delivered on a four-day deadline.
When a US-based jewelry e-commerce brand reached out about a 1,200-image clipping path job with a four-day deadline, we recognized exactly the kind of project automated tools quietly ruin. Thin chains, mixed metals, soft shadows from a lightbox the details that make jewelry photos sell are the same details a one-click background remover smudges.
The challenge
1,200 product shots is a volume problem. Jewelry is a precision problem. Combine the two with a Friday deadline and you have a project that punishes any shortcut. The brand had been burned by automated services that left jagged edges around chains and softened the highlights on polished metal — the exact details that justify a premium product page.
Our approach
We split the catalog across our senior editors, locked the brief to hand-cut Pen Tool paths, and ran a two-stage QA pass: every image checked at 200% zoom for edge artifacts, then a second editor spot-checked one in five. We delivered both layered PSDs (so the brand's in-house team could re-composite for lifestyle backgrounds) and flattened transparent PNGs ready to drop into Shopify product pages.
Results
1,200 images delivered 14 hours ahead of the Friday deadline. First-round approval on all but 38 images, which were re-cut and re-delivered the same evening. The brand's product manager told us the chain detail was the cleanest they'd seen — we now handle every new collection drop.
Key takeaways
Volume jobs survive deadlines only if you split work and lock a single QA standard up front Hand-cut Pen Tool paths still beat AI for fine chains, hair, fur, and reflective surfaces Delivering both PSD and transparent PNG removes a step from the client's production line A second pair of eyes on QA catches the edge cases automation will always miss
