Background Remover - AI Powered

Remove backgrounds from images automatically using AI. Perfect for e-commerce product photos, profile pictures, marketing materials, and more. More affordable than other background removal tools.

Example

Before	After

Features

• AI-Powered Removal: Uses advanced AI models for accurate background removal
• No API Keys: No external API dependencies required
• Batch Processing: Process multiple images in one run
• Multiple Formats: Supports JPG, PNG, WEBP input and PNG/WebP output
• Quality Control: Choose between speed and quality
• Public URLs: Get instant public URLs for processed images
• Transparent Backgrounds: Perfect PNG transparency for all outputs

How It Works

1. Provide image URLs - Paste links to images you want to process
2. Choose settings - Select output format and quality
3. Run the actor - AI automatically removes backgrounds
4. Download results - Get public URLs for processed images

Use Cases

• E-commerce: Remove backgrounds from product photos
• Profile Photos: Create professional transparent profile images
• Marketing: Prepare images for presentations and ads
• Design: Create assets for graphic design projects
• Catalogs: Standardize product imagery
• Real Estate: Clean up property photos

Input Parameters

Parameter	Type	Required	Default	Description
imageUrls	array	Yes	[]	List of image URLs to process (JPG, PNG, WEBP)
outputFormat	string	No	"png"	Output format: "png" (best quality) or "webp" (smaller size)
outputQuality	number	No	90	Quality for WebP output (1-100, higher = better quality)
modelType	string	No	"medium"	AI model: "medium" (fast) or "high" (better quality, slower)

Usage Examples

Example 1: Basic Usage

Process a few product images:

{
  "imageUrls": [
    "https://example.com/product1.jpg",
    "https://example.com/product2.jpg",
    "https://example.com/product3.jpg"
  ],
  "outputFormat": "png"
}

Example 2: High Quality Processing

Use high-quality AI model for best results:

{
  "imageUrls": [
    "https://example.com/portrait.jpg"
  ],
  "outputFormat": "png",
  "modelType": "high"
}

Example 3: WebP for Smaller Files

Save space with WebP format:

{
  "imageUrls": [
    "https://example.com/image1.jpg",
    "https://example.com/image2.jpg"
  ],
  "outputFormat": "webp",
  "outputQuality": 85
}

Example 4: Batch Processing

Process many images at once:

{
  "imageUrls": [
    "https://example.com/product1.jpg",
    "https://example.com/product2.jpg",
    "https://example.com/product3.jpg",
    "https://example.com/product4.jpg",
    "https://example.com/product5.jpg",
    "https://example.com/product6.jpg",
    "https://example.com/product7.jpg",
    "https://example.com/product8.jpg",
    "https://example.com/product9.jpg",
    "https://example.com/product10.jpg"
  ],
  "outputFormat": "png",
  "modelType": "medium"
}

Output Format

Each processed image is saved to the dataset with:

{
  "originalUrl": "https://example.com/image.jpg",
  "processedUrl": "https://api.apify.com/v2/key-value-stores/.../processed_1.png",
  "fileName": "processed_1_1234567890.png",
  "status": "success",
  "processingTimeMs": 3420,
  "originalSizeKB": 245,
  "processedSizeKB": 189,
  "format": "png",
  "timestamp": "2026-01-13T16:30:00.000Z"
}

Performance

• Speed: ~2-5 seconds per image (medium model)
• Quality: High-quality AI segmentation
• Batch Support: Process up to 100+ images per run
• Memory: Recommended 2048 MB for batch processing

Processing Times

Model Type	Time per Image	Quality
Medium	2-3 seconds	Good
High	4-6 seconds	Excellent

Output Formats Comparison

Format	Transparency	File Size	Use Case
PNG	✅ Yes	Larger	Best quality, design work
WebP	✅ Yes	30-50% smaller	Web optimization, faster loading

Supported Image Formats

Input:

• JPG / JPEG
• PNG
• WebP
• Most common web image formats

Output:

• PNG (recommended for quality)
• WebP (recommended for file size)

Best Practices

For Best Results:

1. Use high-resolution images (higher quality input = better output)
2. Choose PNG output for maximum quality
3. Use high model for portraits and complex subjects
4. Use medium model for simple objects and speed

For Web Optimization:

1. Use WebP output for smaller file sizes
2. Set quality to 85-90 for good balance
3. Process images before uploading to your site

For Batch Processing:

1. Process similar images together
2. Use medium model for faster batches
3. Monitor memory usage for large batches

Limitations

• Maximum recommended: 100 images per run
• Large images (>5MB) may take longer to process
• Complex backgrounds may need high-quality model
• Very low-quality input images may have imperfect results

AI Model Information

This actor uses advanced AI segmentation:

• Technology: Machine learning-based segmentation (U2-Net / ISNet)
• Models: Pre-trained neural networks optimized for background removal
• No API Keys: Runs entirely on Apify infrastructure
• Quality: Professional-grade results

Pricing Estimate

Per 100 images processed:

• Platform cost: ~$2-4 (depending on image sizes)
• Actor fee: Set by owner
• Total: Very affordable for batch processing

Troubleshooting

Images not processing

• Check that image URLs are publicly accessible
• Ensure URLs point directly to image files (not web pages)
• Verify image format is supported

Poor quality results

• Try using "high" model type instead of "medium"
• Use higher resolution input images
• Check that subject is clearly defined in original

Slow processing

• Use "medium" model for faster results
• Process smaller batches
• Reduce image sizes before processing

Use Responsibly

• Only process images you have rights to use
• Respect copyright and licensing
• Follow the terms of service for source images

Support

For issues, questions, or feature requests, please contact support or open an issue.

License

ISC