Your Browser Can Do WHAT?! 5 AI Features That Actually Work

Sylwia Laskowska explores the evolving capabilities of running AI models directly within the web browser. Leveraging technologies like WebAssembly, WebGPU, and libraries such as Transformers.js, developers can now execute machine learning tasks locally, bypassing the need for expensive inference APIs and improving user privacy. The article demonstrates five practical use cases: background removal, automated alt-text generation, structured ticket creation, semantic search, and visual question answering. While these local models offer significant advantages—such as offline functionality and reduced server costs—the author notes critical limitations. These include inconsistent WebGPU support across devices, large model download sizes, and performance bottlenecks on mobile hardware. Ultimately, the author concludes that while browser-based AI is not yet a replacement for robust backend systems, it serves as a powerful, optional enhancement for production applications, provided developers implement appropriate fallbacks and consider the hardware constraints of their target audience.