AI Background Remover
Remove image backgrounds with a real AI model — never uploaded
Drop an image here
or click to browse — JPG, PNG, WebP, AVIF
Downloads once · Cached for offline use · Your image never leaves your device
Original
Result
🔒 Image processed entirely in your browser. The model downloads once and is cached.
How to Use
- Drop an image. PNG, JPG, WebP, AVIF — anything your browser can decode. Photos with a clear subject (person, product, animal) work best.
- Load the AI model once. First click downloads RMBG-1.4 (~45 MB). After the first load, the model is cached by your browser — instant next time.
- Remove the background. The neural network segments the foreground in 1–4 seconds depending on your hardware. Download the result as a transparent PNG.
Why Use This Tool
- A real deep-learning model (RMBG-1.4 by BRIA AI) runs entirely in your browser using WebGPU when available, WebAssembly otherwise. Quality matches paid services like Remove.bg.
- Your image never leaves your device. Verify in DevTools → Network: only the model weights download (and only on first use), nothing about your image.
- Free forever. No daily limit, no watermark, no premium tier. Process 5 product photos or 5,000 — same tool.
- Works offline after the model loads once. The 45 MB stays cached in your browser; close your laptop, fly, come back, still works.
- WebGPU acceleration on supported browsers (Chrome 121+, Edge 121+, Safari 18+) processes high-res images in 1–2 seconds. WASM fallback handles the rest.
Frequently Asked Questions
Why is the first load slow?
The 45 MB model has to download once. On a typical broadband connection that’s 5–15 seconds. After the first download, your browser caches the model — subsequent uses load instantly. The model is cached at the browser level (Cache Storage API), not localStorage, so it survives across sessions.
Does my image upload anywhere?
No. After the model is loaded, all inference happens in your browser using WebGPU or WebAssembly. Open DevTools → Network and run the tool — you’ll see exactly zero requests when you click “Remove background.” The image is read into a canvas, fed to the neural network in browser memory, and the result is written to another canvas.
What hardware do I need?
Any modern browser (Chrome, Edge, Firefox, Safari from 2023 onwards). 4 GB of RAM minimum. WebGPU support is preferred for speed but WebAssembly works on all browsers — just slower (3–5× longer per image). The model itself uses ~200 MB of GPU/CPU memory during inference.
Why does it work offline once loaded?
The model weights are cached by your browser via the Cache Storage API the first time you load. As long as the cache isn’t cleared, the model is available without an internet connection. The HTML, JavaScript, and Transformers.js library are also cached via service worker. You can use this tool on a flight or in a low-connectivity area.
What’s the maximum image size?
Practical limit is around 4096×4096 pixels for WebGPU, 2048×2048 for WASM. Beyond that, the browser may run out of memory mid-inference. The tool down-samples very large images automatically before processing — output is restored to original dimensions.
Are the results comparable to Remove.bg or Adobe Express?
For most photos with a clear foreground subject, RMBG-1.4 produces results indistinguishable from paid commercial services. Edge cases (transparent objects like glass, fine hair against busy backgrounds, heavily blurred photos) may show artifacts. For studio product photography or portrait shots, expect commercial-grade quality.