Product Photo Scale Consistency

How to use Product Photo Scale Consistency

Prepare a consistent product-image set from actual canvas and object measurements. Per-SKU targets make the required subject scale explicit without pretending to detect objects or judge the photographs.

1. Define actual per-SKU or SKU/view width, height and center targets with an explicit percentage-point tolerance.
2. Measure each photo’s canvas and product bounding box and enter the neutral asset and SKU references.
3. Review signed drift and margin results, adjust the real photo set, and export the consistency review with unknown or missing targets retained.

Good to know

• Targets and boxes are supplied measurements. A5-point tolerance is an absolute percentage-point difference, not a5% relative change.
• No image recognition, cropping, resizing, marketplace approval, photographic quality or likeness is checked.
• Exact displayed CSV headers; at most100 data rows and8,000 UTF-16 characters per input. Plain decimals have at most9 fractional places; display rounds half-up to12 places. Unknown evidence stays unknown. CSV exports preserve summaries, settings, every calculated detail/finding, limitations and scoped input records; spreadsheet-like text is apostrophe-prefixed.
• Browser-local supplied-record review. No AI, network requests, provider connection, file upload, stored input or automatic delivery. Use neutral identifiers instead of personal information or secrets.