Running Whisper on your own hardware: runtimes, models, GPU setup, and why local beats cloud.
You do not need a monster GPU for local voice dictation. Almost any NVIDIA card from the last eight years does it in real time. Here is what actually matters: VRAM, model choice, and headroom.
Both run the same Whisper weights and produce the same text. The choice comes down to your hardware and how you plan to ship it. Here's the honest breakdown, including where each one wins.
Whisper runs entirely on your own machine, no API key and no internet. Here's how to get it running on Windows, which runtime to pick, and how to fix the CUDA errors everyone hits.
faster-whisper runs the same Whisper weights about four times faster on less memory. Here's the actual reason why, which settings matter, and what I learned shipping it in a production app.
OpenAI's Whisper is the best open speech-to-text model, but it ships as code, not an app. Here are the real ways to run Whisper on Windows, and the one I use every day.
Cloud transcription adds latency, costs money monthly, and sends your audio to someone else's servers. Here's why local GPU transcription is better for developers.
Download Invoke and start dictating in under a minute. Free for 7 days.