Catch the tiny visual defects buyers notice instantly.
A constructed example of Vendrel image-quality review. It demonstrates the process and deliverable structure, not a claimed customer result.
Demonstration, not testimonial.
This page is intentionally labeled as a constructed example. It demonstrates process and deliverable quality only. It does not claim that a named customer achieved these outcomes.
A catalog that looks fine at thumbnail size, until it does not.
Imagine a batch of product images with faint edge shadows, off-white background contamination, uneven framing and a few exports that do not match the marketplace standard.
Example checks
- Background purity and edge residue
- Crop and product centering
- Unexpected shadows or halos
- Resolution and aspect consistency
- Visible text or artwork integrity
Inspect at pixel level, then report by severity.
Visual scan
Review every supplied image for obvious listing defects and consistency problems.
Edge QA
Zoom into common failure zones such as underarms, hems, corners and background transitions.
Action list
Return a prioritized issue table with pass/fail notes and concrete cleanup guidance.
A decision-ready QA sheet.
Instead of “looks good,” the output can identify the image, defect, severity, location and recommended correction.
Quality bar
- Specific defect location
- Consistent pass/fail criteria
- No invented marketplace policy claims
- Separate cosmetic vs. compliance-risk issues
- Clear recheck list after corrections
Use the same structure on your actual inputs.
Send the real scope and Vendrel will confirm the deliverable, constraints and price before work starts.