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README.md

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-license: mit
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+RemoveG is a browser-based AI image background remover designed to process images locally on the user's device.
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+🌐 Website
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+https://www.removeg.io/
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+✨ Features
+Automatic image background removal
+Client-side image processing
+WebAssembly and WebGPU acceleration
+Support for PNG, JPG, JPEG, and WebP images
+Designed for fast browser-based inference
+No account required for basic usage
+Privacy-focused image processing
+🧠 Model
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+RemoveG uses the IS-Net / InSPyReNet approach for salient object detection and foreground extraction.
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+The model can be useful for:
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+Product photography
+Portrait images
+E-commerce images
+Logos and graphics
+Signatures
+General foreground extraction
+⚡ Browser Inference
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+The RemoveG web application uses ONNX Runtime Web to run machine-learning inference directly in the browser.
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+Depending on browser and hardware support, inference can utilize:
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+WebGPU
+WebAssembly
+Multi-threaded WebAssembly
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+This approach allows image processing without requiring a traditional remote image-processing API.
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+🔒 Privacy
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+RemoveG is designed with privacy in mind. Image processing is performed on the user's device through browser-based inference.
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+Learn more at:
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+https://www.removeg.io/
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+🛠️ Technology
+Component	Technology
+Background Removal	IS-Net / InSPyReNet
+Model Runtime	ONNX Runtime Web
+GPU Acceleration	WebGPU
+CPU Runtime	WebAssembly
+Processing	Client-side
+Output Formats	PNG, JPG, JPEG, WebP
+📌 Use Cases
+E-commerce
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+Remove backgrounds from product images to create clean product photography.
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+Portraits
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+Create transparent-background profile pictures, headshots, and other portraits.
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+Graphic Design
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+Extract foreground objects for thumbnails, advertisements, presentations, and social media graphics.
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+🔗 Learn More
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+Visit RemoveG.io to try the browser-based image background remover.
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+⚠️ Model Information
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+This project uses the IS-Net / InSPyReNet approach for image salient-object detection. Please refer to the original model implementation and its associated license for details about the underlying model.
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+📄 Keywords
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+background-removal image-segmentation IS-Net InSPyReNet ONNX ONNX-Runtime-Web WebGPU WebAssembly image-processing foreground-extraction browser-AI