I realized that the smallest background remover ML models (u2netp.onnx) is only 4.5mb and inference can be run in browser JS pretty quickly (a couple seconds), so I built a client-only web app for people to do this quickly without using one of the upload-then-process tools out there (which is most of them from what I can tell). It works decently well for pictures where the object and background are relatively distinct. It's a small model so it definitely struggles with the more complicated cases. It's just intended to be for the easy use cases.
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I realized that the smallest background remover ML models (u2netp.onnx) is only 4.5mb and inference can be run in browser JS pretty quickly (a couple seconds), so I built a client-only web app for people to do this quickly without using one of the upload-then-process tools out there (which is most of them from what I can tell). It works decently well for pictures where the object and background are relatively distinct. It's a small model so it definitely struggles with the more complicated cases. It's just intended to be for the easy use cases.