Open-source browser-based AI image background removal tool

On November 7, 2026, the AI section of DEV Community published a tutorial titled "How to Run AI Locally in the Browser for Serverless Photo Background Removal". The piece opens by noting that most background-remover sites operate in the same way: you drop a photo onto a page, it gets sent to a server, a model runs there, and the cut-out result comes back to you. The author says this approach is fine for an ordinary mug shot, but less acceptable for a passport-style picture, a photo of your kid, or a product shot that has not gone public yet, since the image has to leave your machine for a server. The guide instead shows how to do the same job with the segmentation model running on your own device, so the photo never leaves the browser tab. Technically it relies on WebAssembly and WebGPU, letting developers run the segmentation model directly on the web page and remove backgrounds from private images locally, with no server involved in processing. As of publication, the article walks through the reasoning behind this approach and its basic operating steps, positioning privacy-preserving, on-device inference as the main motivation for skipping the usual upload-to-server pipeline.