Background Remover

AI-powered background removal that runs entirely in your browser

How It Works

Our background remover uses a neural network model called RMBG-1.4 from BRIA AI, running directly in your web browser using WebGPU or WebAssembly. This means your images never leave your device—all processing happens locally.

The AI model analyzes your image to identify the main subject (people, products, animals, objects) and creates a precise mask to separate it from the background. The result is a transparent PNG that you can use anywhere.

Privacy First: Unlike cloud-based services, your photos are never uploaded to any server. The AI model runs entirely in your browser, ensuring complete privacy.

Key Features

🔒 100% Private

Your images never leave your device. All processing happens locally in your browser.

⚡ Instant Results

Get results in seconds with WebGPU acceleration on supported devices.

🎯 Intelligent Edge Detection

AI-powered subject detection handles complex edges like hair and fur.

📱 Works Everywhere

Use on desktop or mobile browsers. No app installation required.

Best Use Cases

Product Photography: Remove backgrounds from product images for e-commerce listings
Profile Pictures: Create clean headshots with transparent or solid color backgrounds
Design Projects: Extract subjects for use in graphic design and composites
Social Media: Create eye-catching content with isolated subjects
Presentations: Remove distracting backgrounds from images for slides

Supported Formats

The background remover accepts all common image formats:

JPEG / JPG
PNG
WebP
GIF (first frame)
BMP

Output is always a PNG file with transparency to preserve the removed background areas.

Technical Details

The tool uses the Transformers.js library to run the RMBG-1.4 model in the browser. On first use, the model (~40MB) is downloaded and cached for future sessions. Processing time depends on your device:

With WebGPU: 1-3 seconds for most images
With WebAssembly: 5-15 seconds depending on image size

Tips for Best Results

Use images with good contrast between subject and background
Ensure adequate lighting on your subject
Higher resolution images produce better edge detection
Simple backgrounds work best, but the AI handles complex scenes too

Try Background Remover →