Examples

Explore interactive examples demonstrating different features and use cases of rembg-web. Each example is fully functional and can be run directly in your browser.

Basic Usage

Simple background removal with file input and side-by-side comparison.

File Input Progress Tracking Error Handling

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Mask Only

Generate only the mask (black/white) instead of the full processed image.

Mask Generation Grayscale Output Custom Backgrounds

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Custom Background

Replace the background with a custom color using color picker and transparency.

Color Picker RGBA Support Real-time Preview

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Session Reuse

Reuse sessions for better performance when processing multiple images.

Performance Batch Processing Model Selection

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Progress Tracking

Track progress during background removal with real-time updates and step indicators.

Progress UI Step Indicators Timestamps

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Cloth Segmentation

Advanced clothing segmentation with multiple mask outputs for different clothing categories.

Multi-mask Clothing Categories Advanced AI

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Global Usage

Use rembg-web via global variables (UMD build) instead of ES module imports.

UMD Build Global Variables CDN Ready

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Pixel Comparison

Compare two images pixel by pixel and highlight differences for testing and validation.

Image Comparison Difference Detection Testing Tools

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Model Selection

Choose between different AI models for background removal with detailed information about each model's strengths and use cases.

Model Selection 7 AI Models Use Case Guidance

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Batch Processing

Process multiple images at once using the fastest model (U2NetP) and download all results as a ZIP file.

Bulk Processing ZIP Download Performance Stats

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Running Examples Locally

To run these examples locally, you'll need to serve them from a web server:

# Quick start with development server
yarn examples

# Or with Python
python3 -m http.server 8080

# Or with Node.js
npx http-server -p 8080

Important: Examples must be served through an HTTP server to work properly due to CORS restrictions.