AI Background Remover

Remove backgrounds from photos using AI that runs in your browser. Automatically detects people, products, and objects. Your photos never leave your device — no upload, no signup.

Drop your photo here or click to browse

JPG, PNG, WebP — the ML model loads automatically on first use (~5 MB)

Original
Original photo
Background Removed

How it works

Upload a photo and the tool automatically detects the subject using a machine learning model called MediaPipe Image Segmenter, built by Google. The model runs entirely in your browser — your photo is never uploaded to any server.

On first use, the model file (~5 MB) downloads and is cached by your browser. After that, the tool works instantly — even offline.

Best results with

Results may be less precise with very fine hair detail, transparent objects, or busy backgrounds where subject and background colours blend together.

Your photo stays private

The ML model downloads once and runs locally in your browser using WebAssembly. Your image data never leaves your device — no server sees your photo. You can verify this by disconnecting from the internet after the model loads and trying the tool — it still works.

Frequently Asked Questions

How does the background remover work? +
The tool uses a machine learning model (MediaPipe Image Segmenter) that runs directly in your browser. It analyses the image to identify the subject and separates it from the background. No server processing is involved.
Does it upload my photo to a server? +
No. The ML model downloads once to your browser (about 5 MB) and all processing happens locally on your device. Your photo never leaves your computer or phone.
What subjects does it detect? +
The model is optimised for people (portraits, selfies, full body) but also works on many other subjects. Results may vary with complex scenes, multiple overlapping subjects, or very fine details like hair strands.
Does it work on mobile phones? +
Yes. The tool works in any modern browser on phones, tablets, and computers. The ML model is lightweight enough to run on mobile devices, though processing may take a few seconds longer than on a desktop.