Object Removal
Object Removal intelligently removes unwanted objects from your images while seamlessly reconstructing the background. Powered by a 12-rule AI system that ensures photorealistic results.
Intelligent Reconstruction: Object Removal doesn’t just delete - it analyzes lighting, shadows, textures, and perspective to fill the space naturally, as if the object was never there.
What is Object Removal?
Object Removal uses advanced AI to identify and remove specified objects while intelligently reconstructing what should be behind them. The result is a clean, natural-looking image where unwanted elements have been seamlessly erased.
Key Features
| Feature | Specification |
|---|---|
| Processing Time | 30-60 seconds |
| Output Formats | JPG, PNG |
| Resolutions | 1K, 2K, 4K |
| Credit Cost | 30-60 credits |
| Max File Size | 10MB |
Interface Overview
Two-Column Layout
┌──────────────────────────────────────────────────────────────────────────────┐
│ │
│ ┌────────────────────────────────┐ ┌────────────────────────────────────┐ │
│ │ │ │ │ │
│ │ Image Upload Area │ │ Configuration Panel │ │
│ │ │ │ │ │
│ │ ┌──────────────────────────┐ │ │ Objects to Remove │ │
│ │ │ │ │ │ ┌──────────────────────────────┐ │ │
│ │ │ 📁 Drag & drop │ │ │ │ Remove the person standing │ │ │
│ │ │ your image │ │ │ │ in the background and the │ │ │
│ │ │ │ │ │ │ trash can on the right... │ │ │
│ │ │ PNG, JPG, WEBP │ │ │ └──────────────────────────────┘ │ │
│ │ │ Max 10MB │ │ │ │ │
│ │ │ │ │ │ Resolution │ │
│ │ └──────────────────────────┘ │ │ ┌──────────────────────────────┐ │ │
│ │ │ │ │ 1K ▼ │ │ │
│ │ │ │ └──────────────────────────────┘ │ │
│ │ │ │ │ │
│ │ │ │ Aspect Ratio │ │
│ │ │ │ ┌──────────────────────────────┐ │ │
│ │ │ │ │ Match Input Image ▼ │ │ │
│ │ │ │ └──────────────────────────────┘ │ │
│ │ │ │ │ │
│ │ │ │ Output Format │ │
│ │ │ │ ○ JPG ● PNG │ │
│ │ │ │ │ │
│ │ │ │ ─────────────────────────────── │ │
│ │ │ │ │ │
│ │ │ │ 💰 30 credits │ │
│ │ │ │ │ │
│ │ │ │ [✨ Remove Objects] │ │
│ │ │ │ │ │
│ └────────────────────────────────┘ └────────────────────────────────────┘ │
│ │
└──────────────────────────────────────────────────────────────────────────────┘Configuration Options
Objects to Remove
Describe what you want removed in natural language:
Examples:
• "Remove the person in the background"
• "Remove the price tag on the product"
• "Remove the shadow on the left side"
• "Remove the watermark in the corner"
• "Remove the trash can and the bicycle"Be Specific: The more precise your description, the better the results. Mention location, color, or other identifying features.
Resolution Options
| Resolution | Dimensions | Credits | Best For |
|---|---|---|---|
| 1K | ~1024px | 30 credits | Web, social media |
| 2K | ~2048px | 30 credits | High-quality web |
| 4K | ~4096px | 60 credits | Print, large displays |
Aspect Ratios
| Option | Use Case |
|---|---|
| Match Input Image | Keep original proportions |
| 21:9 | Ultra-wide banners |
| 16:9 | Widescreen, YouTube |
| 3:2 | Traditional photography |
| 4:3 | Standard displays |
| 5:4 | Print materials |
| 1:1 | Instagram, product squares |
| 4:5 | Instagram portraits |
| 3:4 | Mobile-optimized |
| 2:3 | Vertical portraits |
| 9:16 | Stories, TikTok |
Output Format
| Format | Best For |
|---|---|
| JPG | Photos, web use, smaller files |
| PNG | Transparency needed, maximum quality |
The 12-Rule AI System
Object Removal uses a sophisticated 12-rule system to ensure photorealistic results:
AI Quality Rules
| Rule | What It Does |
|---|---|
| 1. Object Identification | Carefully identifies all mentioned objects |
| 2. Precise Selection | Only removes specified objects, nothing else |
| 3. Background Reconstruction | Fills with matching environment |
| 4. Edge Blending | No visible seams or artifacts |
| 5. Environment Preservation | Maintains lighting, shadows, atmosphere |
| 6. Shadow Consistency | Keeps original light sources and shadows |
| 7. Scene Composition | Preserves perspective and depth |
| 8. Color Matching | Matches color values and textures |
| 9. No Artifacts | No blur patches, pixelation, ghosting |
| 10. Photorealistic Output | Appears as untouched photograph |
| 11. Remaining Objects | Doesn’t modify non-target elements |
| 12. Context-Aware Filling | Fills with realistic background content |
Processing Flow
Generation Progress
┌──────────────────────────────────────────────────────────────────────────────┐
│ │
│ 🪄 Removing Objects │
│ │
│ ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓░░░░░░░░░░░░░░ 65% │
│ │
│ ✅ Analyzing image │
│ ✅ Detecting objects │
│ 🔄 Processing removal │
│ ⏳ Refining edges │
│ ⏳ Applying final touches │
│ ⏳ Almost ready │
│ │
│ "Processing removal..." │
│ │
└──────────────────────────────────────────────────────────────────────────────┘Processing Stages
| Stage | Description |
|---|---|
| Analyzing image | AI examines the full image |
| Detecting objects | Identifies objects to remove |
| Processing removal | Removes and reconstructs |
| Refining edges | Blends seamlessly |
| Applying final touches | Final quality pass |
| Almost ready | Preparing output |
Results
Before/After Comparison
┌──────────────────────────────────────────────────────────────────────────────┐
│ │
│ ✅ Objects Removed Successfully! │
│ │
│ ┌─────────────────────────┬─────────────────────────┐ │
│ │ │ │ │
│ │ BEFORE │ AFTER │ │
│ │ │ │ │
│ │ Product + unwanted │ Clean product │ │
│ │ objects visible │ only visible │ │
│ │ │ │ │
│ │ ◄─┼─► │ │
│ │ │ │ │
│ └─────────────────────────┴─────────────────────────┘ │
│ │
│ [⬇️ Download] [🔗 Share] [🔄 Try Different] [↩️ Start Over] │
│ │
└──────────────────────────────────────────────────────────────────────────────┘Credit Costs
Resolution-Based Pricing
| Resolution | Credits |
|---|---|
| 1K | 30 credits |
| 2K | 30 credits |
| 4K | 60 credits |
Cost Examples
| Scenario | Resolution | Images | Total |
|---|---|---|---|
| Social media cleanup | 1K | 10 | 300 credits |
| Product catalog | 2K | 25 | 750 credits |
| Print materials | 4K | 5 | 300 credits |
Credit Policy
Important: Credits are deducted when generation starts. All credit purchases are final and non-refundable. For platform errors, credits may be restored at ecomVance’s discretion. See Pricing & Credits for full details.
Best Practices
Describing Objects
| Good ✅ | Bad ❌ |
|---|---|
| “Remove the red car on the left" | "Remove stuff" |
| "Remove the price tag on the shirt" | "Clean it up" |
| "Remove the person behind the product" | "Remove background" |
| "Remove the shadow under the table" | "Make it better” |
Multiple Objects
You can remove multiple objects in one request:
"Remove the following:
- The person standing in the background
- The trash can on the right
- The water bottle on the table
- The electrical cord visible on the floor"Objects That Work Best
| Easy to Remove | More Challenging |
|---|---|
| People in background | Complex patterns |
| Price tags/labels | Objects touching product |
| Watermarks | Transparent objects |
| Shadows | Reflections |
| Props and accessories | Integrated elements |
Use Cases
Product Photography Cleanup
Scenario: Product photo with distracting elements
Remove: "Remove the coffee mug and papers
visible in the background"
Result: Clean, focused product shot
Cost: 30 creditsReal Estate Photography
Scenario: Room photo with personal items
Remove: "Remove the family photos on the wall,
the toys on the floor, and the dog bed"
Result: Neutral, staged-looking space
Cost: 30 creditsE-commerce Listing Improvement
Scenario: Product with visible price tag
Remove: "Remove the price sticker on the
front of the product"
Result: Clean product ready for listing
Cost: 30 creditsMarketing Material Prep
Scenario: Photo with unwanted branding
Remove: "Remove the competitor logo visible
on the sign in the background"
Result: Brand-safe marketing image
Cost: 30 creditsCommon Removal Scenarios
What to Remove
| Category | Examples |
|---|---|
| People | Background people, hands, reflections |
| Text | Watermarks, price tags, labels |
| Objects | Props, accessories, distractions |
| Environmental | Shadows, reflections, stains |
| Branding | Logos, signs, competitor marks |
Tips by Category
Removing People:
- Specify location (“person on the left”)
- Mention clothing if helpful (“person in red shirt”)
- Include all parts (“person and their shadow”)
Removing Text:
- Describe location precisely
- Mention the text content if readable
- Include surrounding area if needed
Removing Objects:
- Use color and size descriptions
- Mention relative position
- Be specific about which object
Quality Expectations
What AI Does Well
- Filling with matching textures
- Maintaining lighting consistency
- Preserving perspective
- Blending edges seamlessly
- Reconstructing patterns
Limitations
- Very complex patterns may have artifacts
- Objects touching main subject need care
- Extremely large removals may be visible
- Reflective surfaces can be challenging
Large Removals: If removing more than 30% of the image, consider if the composition will still work. AI does best with targeted removals.
Workflow Integration
With Background Removal
Step 1: Object Removal
→ Remove unwanted elements
Step 2: Background Removal
→ Isolate cleaned productWith Image Enhance
Step 1: Object Removal
→ Clean the image
Step 2: Image Enhance
→ Upscale for qualityWith Product Placement
Step 1: Object Removal
→ Clean product shot
Step 2: Product Placement
→ Place in new sceneTroubleshooting
Common Issues
Object not fully removed
- Be more specific in description
- Mention exact location
- Include related elements (shadows)
Visible reconstruction artifacts
- Try lower resolution first
- Simplify the removal request
- Contact support for complex cases
Wrong object removed
- Use more specific descriptions
- Mention what to keep
- Describe location precisely
Background looks unnatural
- Complex backgrounds may need iteration
- Try removing fewer objects at once
- Consider the final composition
Technical Details
AI Model
| Specification | Detail |
|---|---|
| Model | google/nano-banana-pro |
| Provider | Replicate |
| Processing | Cloud-based |
| Runtime | 120 seconds max |
Output Quality
| Aspect | Quality |
|---|---|
| Reconstruction | Photorealistic |
| Edge Blending | Seamless |
| Texture Matching | Context-aware |
| Color Consistency | Maintained |
Next Steps
Complex Removal Projects? Contact hello@ecomvance.ai for guidance on challenging images or bulk processing needs.