Whisper WebGPU

Whisper WebGPU is a browser-based speech recognition tool that runs OpenAI’s Whisper model entirely on the client side using WebGPU acceleration. It enables users to transcribe and translate audio directly in the browser without sending data to external servers, improving privacy and reducing latency. The tool supports multiple Whisper model sizes, allowing a trade-off between speed and accuracy depending on available hardware and workload requirements. It can process microphone input or uploaded audio files and provides real-time or near real-time transcription depending on device performance.

Key capabilities include multilingual transcription, speech translation to English, and configurable decoding options such as temperature, beam size, and language selection. By leveraging WebGPU, Whisper WebGPU takes advantage of modern GPU features in supported browsers, offering significantly faster inference compared to CPU-only or older WebGL-based approaches. Typical use cases include building in-browser transcription tools, captioning interfaces, language learning applications, meeting or lecture note capture, and rapid prototyping of speech-enabled web experiences. Because everything runs locally, developers can integrate Whisper WebGPU into applications where data control, offline operation, or minimal backend infrastructure are important design constraints.