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ecomAIObject Removal

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

FeatureSpecification
Processing Time30-60 seconds
Output FormatsJPG, PNG
Resolutions1K, 2K, 4K
Credit Cost30-60 credits
Max File Size10MB

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"
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Be Specific: The more precise your description, the better the results. Mention location, color, or other identifying features.

Resolution Options

ResolutionDimensionsCreditsBest For
1K~1024px30 creditsWeb, social media
2K~2048px30 creditsHigh-quality web
4K~4096px60 creditsPrint, large displays

Aspect Ratios

OptionUse Case
Match Input ImageKeep original proportions
21:9Ultra-wide banners
16:9Widescreen, YouTube
3:2Traditional photography
4:3Standard displays
5:4Print materials
1:1Instagram, product squares
4:5Instagram portraits
3:4Mobile-optimized
2:3Vertical portraits
9:16Stories, TikTok

Output Format

FormatBest For
JPGPhotos, web use, smaller files
PNGTransparency needed, maximum quality

The 12-Rule AI System

Object Removal uses a sophisticated 12-rule system to ensure photorealistic results:

AI Quality Rules

RuleWhat It Does
1. Object IdentificationCarefully identifies all mentioned objects
2. Precise SelectionOnly removes specified objects, nothing else
3. Background ReconstructionFills with matching environment
4. Edge BlendingNo visible seams or artifacts
5. Environment PreservationMaintains lighting, shadows, atmosphere
6. Shadow ConsistencyKeeps original light sources and shadows
7. Scene CompositionPreserves perspective and depth
8. Color MatchingMatches color values and textures
9. No ArtifactsNo blur patches, pixelation, ghosting
10. Photorealistic OutputAppears as untouched photograph
11. Remaining ObjectsDoesn’t modify non-target elements
12. Context-Aware FillingFills 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

StageDescription
Analyzing imageAI examines the full image
Detecting objectsIdentifies objects to remove
Processing removalRemoves and reconstructs
Refining edgesBlends seamlessly
Applying final touchesFinal quality pass
Almost readyPreparing 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

ResolutionCredits
1K30 credits
2K30 credits
4K60 credits

Cost Examples

ScenarioResolutionImagesTotal
Social media cleanup1K10300 credits
Product catalog2K25750 credits
Print materials4K5300 credits

Credit Policy

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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 RemoveMore Challenging
People in backgroundComplex patterns
Price tags/labelsObjects touching product
WatermarksTransparent objects
ShadowsReflections
Props and accessoriesIntegrated 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 credits

Real 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 credits

E-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 credits

Marketing 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 credits

Common Removal Scenarios

What to Remove

CategoryExamples
PeopleBackground people, hands, reflections
TextWatermarks, price tags, labels
ObjectsProps, accessories, distractions
EnvironmentalShadows, reflections, stains
BrandingLogos, 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
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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 product

With Image Enhance

Step 1: Object Removal → Clean the image Step 2: Image Enhance → Upscale for quality

With Product Placement

Step 1: Object Removal → Clean product shot Step 2: Product Placement → Place in new scene

Troubleshooting

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

SpecificationDetail
Modelgoogle/nano-banana-pro
ProviderReplicate
ProcessingCloud-based
Runtime120 seconds max

Output Quality

AspectQuality
ReconstructionPhotorealistic
Edge BlendingSeamless
Texture MatchingContext-aware
Color ConsistencyMaintained

Next Steps

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Complex Removal Projects? Contact hello@ecomvance.ai for guidance on challenging images or bulk processing needs.

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