Run AI Image Processing Locally in Your Browser — No Uploads, No Servers
You've probably used an online tool to remove a background from an image before. You upload the photo, wait for it to process on some remote server, and then download the result. But if you're a developer, you've likely wondered: where does that image actually go? And what happens if you want to process a dozen images without hitting rate limits or paying for credits?
That's the gap that Removerized fills. It's an open-source AI image toolkit that runs entirely in your browser. No files leave your device. No backend servers process your data. The whole thing works locally using ONNX Runtime Web and WebAssembly, which means you get AI-powered image processing with the privacy guarantees of a local application.
What It Does
Removerized is a browser-based application built with Next.js and TypeScript that gives you several AI-powered image tools. The core feature is background removal — you can strip backgrounds from images with decent accuracy, all running client-side. But it also includes image upscaling (enhancing resolution through AI) and batch processing, so you can work through multiple images in one go.
The architecture is what makes this interesting. Models are loaded directly into the browser using ONNX Runtime Web, and inference runs via WebAssembly. Once loaded, the models get cached in IndexedDB, which means subsequent uses are faster — you don't need to re-download them. After the first load, the toolkit works offline, which is a nice touch for anyone who works intermittently or wants to avoid network dependency.
The UI is built with shadcn/ui and Tailwind CSS, giving it a clean, modern look. You get advanced controls for tweaking output quality, format, and other parameters, so it's not just a black box — you can adjust results to your needs.
Why It's Cool
The value proposition here is straightforward, and it's worth unpacking because it solves several real problems at once.
Privacy-first by design. This is the headline feature. Because nothing ever leaves your device, you can process sensitive images without worrying about where they end up. For developers working with client assets, medical imagery, or anything confidential, this removes a whole category of risk.
No limits, no payments. Since you're running models locally, there's no API key to manage, no credit system, no "you've used your 10 free removals for today" nonsense. You can process as many images as your hardware can handle.
Multiple AI models to choose from. The README mentions you can select different models depending on your needs. This suggests flexibility — maybe you want speed over accuracy for a batch job, or maximum quality for a single important image. Having that choice is a practical advantage over most online tools that give you one pipeline.