Background Remover

How to use Background Remover in 3 simple steps

1. Step 1: Upload or drag a photo featuring a person, product, or pet into the editor (up to 500 MB).
2. Step 2: Wait a few seconds for the client-side AI model to segment the foreground subject.
3. Step 3: Preview the cutout on transparent or colored backgrounds and download your crisp PNG.

Is Evorenza Background Remover safe for confidential files?

Yes, Evorenza Background Remover is completely safe for confidential portraits, unreleased product photos, and private family images. The AI neural network runs inside your local browser via WebAssembly; zero photos are transmitted to cloud servers.

Unlike traditional AI background removal APIs that send your pictures to remote data centers, Evorenza runs the neural network locally on your device hardware.

How does Background Remover work without uploading?

The tool downloads the machine learning model weights to your browser cache and executes inference locally using ONNX Runtime Web and WebAssembly. Image pixels are classified into foreground and background masks directly on your CPU/GPU.

Once the lightweight model is cached in your browser, background removal works even if your device goes completely offline.

Is it really free?

Yes, Evorenza Background Remover is 100% free. There are no credit systems, subscription tiers, or watermark overlays on your cutout images.

Many online tools give you 1 free low-res cutout and charge for high-res downloads. Evorenza exports full-resolution PNG cutouts for free.

What file types and sizes are supported?

Accepts PNG, JPG, JPEG, and WebP images up to 500 MB. Outputs transparent, lossless 32-bit PNG images ready for e-commerce, design, and marketing.

You can download the transparent PNG or composite the subject over solid color backdrops directly in the tool.

Technical Specifications & Limitations

Supported Formats: PNG, JPG, JPEG, WebP

Execution Limits: Files up to 500 MB; AI inference runs entirely on your device via @imgly/background-removal using in-browser WebAssembly and ONNX Runtime.

Memory & Device Considerations: Because the AI neural network model executes in your browser, older mobile phones or devices with low RAM may take longer to complete segmentation. High-contrast images with clearly defined subjects deliver the best cutouts.

Last updated: 2026-11-04 • 100% Client-Side In-Browser Execution

Frequently Asked Questions