B

ABOUT

THE PHILOSOPHY
OF REMOVAL.

Backgrone exists because we believe image processing should happen where your images live — on your device. Not on someone else's server. Not in someone else's cloud. Not behind someone else's paywall.

Every major background removal tool follows the same pattern: upload your image, let their servers process it, download the result. In that transaction, your data passes through infrastructure you don't control, under policies you didn't read, for purposes you can't verify.

We chose a different architecture. WebAssembly and modern ML runtimes make it possible to run production-quality neural networks entirely in the browser. No uploads. No servers. No cloud. The AI comes to your data, not the other way around.

The result is a tool that is private by architecture, not by promise. We can't see your images because there is literally no mechanism for us to receive them. That's not a policy decision — it's a technical fact.

BUILT WITH

STANDING ON SHOULDERS.

ISNet

Intermediate Supervision Network for dichotomous image segmentation

RMBG-1.4

BRIA AI's background removal model trained on 12,000+ images

ONNX Runtime Web

High-performance ML inference engine for the browser

Transformers.js

Hugging Face's library for running models in JavaScript

CONTACT

LET'S TALK.

Questions, ideas, collaborations, or just want to say hello.

faizal2jz@gmail.com