How to manage product image quality control with AutoAGC? Quality standards and checklist
Quality control is critical when using AI-generated images for e-commerce. A systematic QC process ensures every image meets marketplace standards and drives conversions.
**Quality Control Framework:**
**Level 1: Technical Compliance (Must Pass)**
1. **Resolution Check**
- Amazon main image: minimum 1600×1600 (recommended 2000×2000)
- Shopify: minimum 1500×1500
- Shopee: minimum 1024×1024
- Social media: minimum 1080×1080
- File size: under 10MB per image
2. **Background Compliance**
- Amazon main image: pure white (RGB 255, 255, 255)
- No watermarks on main images (most platforms)
- No additional text on Amazon main images
- Clean, even background for all main images
3. **Product Accuracy**
- Product color matches physical product
- Product shape/proportions are accurate
- No missing or extra elements
- Product labels and text are correct and readable
4. **Platform-Specific Rules**
- Amazon: product occupies 85%+ of frame, no borders, no inset images
- Shopify: flexible, but maintain aspect ratio consistency
- Shopee: no promotional text on main image
- TikTok Shop: AI content must be labeled
**Level 2: Visual Quality (Should Pass)**
5. **Lighting and Exposure**
- Product is well-lit, no dark spots
- No overexposure (blown highlights)
- Shadows are natural and directional
- Product edges are clean and defined
6. **Background Quality**
- For white backgrounds: consistent pure white, no gradient
- For scene backgrounds: appropriate blur, no distracting elements
- Background doesn't compete with product for attention
7. **Color Fidelity**
- Colors are vibrant but not oversaturated
- Skin tones (if models present) look natural
- No color cast (unwanted tint)
- Consistent color across image series
8. **De-AI Processing**
- No visible AI artifacts (repetitive textures, unnatural hands)
- Background textures look natural
- Product edges blend naturally with background
- No 'plastic' or overly smooth surfaces
**Level 3: Commercial Effectiveness (Nice to Have)**
9. **Composition**
- Product is centered and well-positioned
- Appropriate use of negative space
- Visual hierarchy draws eye to product first
10. **Brand Consistency**
- Images follow brand style guidelines
- Color palette matches brand identity
- Logo placement is consistent
- Overall aesthetic is cohesive across products
11. **Conversion Optimization**
- Main image is click-worthy (high CTR potential)
- Scene images show product in use
- Detail images highlight key features
- Images tell a story across the listing
**QC Checklist Template (Print and Use):**
For each product image batch:
- [ ] Resolution meets platform minimum
- [ ] Background is compliant (pure white for Amazon main)
- [ ] Product color is accurate vs. physical product
- [ ] No text errors on product/labels
- [ ] No AI artifacts visible at 100% zoom
- [ ] Product shape/proportions are correct
- [ ] Lighting is even and natural
- [ ] Shadows are consistent with lighting direction
- [ ] No watermarks where prohibited
- [ ] Product occupies appropriate frame percentage
- [ ] De-AI processing applied
- [ ] Logo/branding consistent with guidelines
- [ ] Exported in correct format and size
**QC Frequency:**
- Every image: Level 1 checks (technical compliance)
- Spot check 20%: Level 2 checks (visual quality)
- New product categories or styles: Full Level 1-3 checks
- Monthly audit: Review QC pass rates and identify systematic issues
**When QC Fails:**
1. Minor issues (slight color cast, edge cleanup): Fix using AutoAGC editing tools
2. Major issues (deformation, wrong colors, AI artifacts): Regenerate the image
3. Repeated failures: Review your prompt template and generation settings — the issue may be systematic
4. Keep a log of common failures to improve future generation settings
