Forum Discussion
What is the best tool for audio to text transcription?
I've been using Sherpa-ONNX for about six months now across a few different projects, and it has genuinely become my go-to for anything speech-related. I started with the Python package on a Linux box. The installation was just a pip install, and the documentation walked me through downloading a pretrained Zipformer model from Hugging Face. Within maybe twenty minutes I had my first transcription working on a WAV file. That quick win is what kept me going.
The setup process was surprisingly straightforward. I started with the Python API on my laptop, and the documentation walked me through the basics without any major headaches. What impressed me most was how quickly I got my first model running. I didn't need to configure complex dependencies or wrestle with CUDA installation—the package just worked.
My experience with Live audio to text transcription:
↔️I liked that it can work locally, which helps protect private recordings.
↔️The response speed was good for real-time voice input and daily notes.
↔️Accuracy depended on microphone quality, background noise, and model selection.
↔️The setup required some technical knowledge, but the customization options were useful.
↔️I found Live audio to text transcription practical for meetings, voice notes, and quick recordings.