Imgo uses a product photo as the reference for catalog and campaign image candidates. Generate white-background and lifestyle directions, compare them as a set, then verify the item's shape, label, color and each marketplace's current rules before publishing.
A studio day buys one batch of SKUs, and the long tail of the catalog never gets photographed. Packaging changes, seasonal scenes and per-marketplace format rules turn a photo problem into a permanent backlog.
Product reference
Upload a clean packshot to guide shape, color, logo placement and material. Inspect each result because reference guidance does not guarantee exact fidelity.
A set of candidates per SKU
Develop white-background, lifestyle and detail directions from one brief, then choose the frames that meet your catalog standards.
Channel-specific review
Check final crop, resolution, background and product accuracy against the current rules of the marketplace where each image will appear.
Step 1
Upload the packshot
Start with a clear, owned photo of the actual item. Include a legible label and enough detail for the model to follow.
Step 2
Brief the set
Pick the scenes (white background, tabletop, in-use, seasonal), the angles and the crops. Brand anchors keep the look consistent across SKUs.
Step 3
Inspect and export
Generate variants, check product fidelity and current channel requirements, then export the approved frames in the needed crop and resolution.
The Imgo surfaces this use case routes into.
No. A clean phone photo can be a starting reference, but sharper and better-lit source images give the model more reliable product detail.
No model can guarantee that. Use the same reference and compare shape, color, logo and label in every candidate before publishing.
You can prepare crops for several channels, but each marketplace sets its own current image rules. Check its requirements and review the final output manually.
A typical set: one white-background main, four to six lifestyle or in-use shots, two or three detail crops, and one or two size or fit frames. Generate in batches and keep the frames that survive inspection.