The best part is that it's completely open-source and I can run it locally in Python without needing any paid API keys. I used it for adding speech-to-text features in my college project, and it handles different accents and slight background noise surprisingly well. Even the smaller models like 'base' do a solid job for basic audio transcription. Review collected by and hosted on G2.com.

If you don't have a laptop with a decent dedicated GPU, running the larger models like 'medium' or 'large' can be pretty slow on the CPU. On a normal laptop, you're mostly limited to using 'tiny' or 'base' models, which are fast but can occasionally mishear a few words. Review collected by and hosted on G2.com.