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Bgx - AI Background Removal Tool

Bgx - AI Background Removal Tool

Open Source
AIImage ProcessingWebAssemblyONNX Runtime

A free, privacy-first background removal tool powered by AI. All processing happens locally in your browser using ONNX models.

What is this?

Bgx is a web-based background removal tool that leverages AI models (U2Net, ISNet, BRIA RMBG) to remove backgrounds from images with high precision. Unlike cloud-based solutions, Bgx performs all processing client-side, ensuring your images never leave your device. Built with ONNX Runtime Web, it offers a fast, secure, and accessible solution for anyone needing quick background removal.

Why I Built This?

I sometimes need to remove backgrounds from images for creating blog covers or icons. While existing background removal tools work well, most of them use online services and require uploading images to cloud servers.

At this point, if you need to process some more private images, this isn't very secure. You can only trust that they won't do anything bad with your images. For scenarios with high privacy requirements, local tools are safer.

The only downside is that this tool needs to download models from Hugging Face before use, and it can only process through CPU, which may be slower. Considering that situations requiring processing of private images aren't very common, this drawback is acceptable.

Core Features

  • Privacy Protected - 100% client-side processing, images never leave your device
  • Multiple AI Models - Choose from 9+ specialized models for different use cases
  • Multiple Export Formats - PNG, JPG, WebP
  • Drag & Drop / Paste Support - Upload images via drag-drop, file picker, or Ctrl+V paste

What Problem Does It Solve?

Traditional background removal tools often require uploading images to cloud servers, raising privacy concerns and requiring internet connectivity. Bgx addresses these pain points by providing a completely local solution that works offline, respects user privacy, and delivers professional-quality results without subscription fees or data exposure risks.