I just tried it out and I’m blown away.
Installation was a piece of cake (even though there was a missing step, but I’ve opened a pull request to help out), and once you’re there, it literally takes seconds to start transcribing:
whisper my_file.m4a --model base
The output is ready to be used in subtitles programs as well, as it looks like this
[01:23.000 --> 01:31.000] Camilla, first question, what keeps you awake at night? [01:31.000 --> 01:36.000] Around data analytics, let's keep it to that box [01:36.000 --> 01:45.000] Yeah, so I think we have three different, very specific business units [01:45.000 --> 01:52.000] And we have teams that are divided between being masters in data in analytics [01:52.000 --> 01:57.000] And they know much more than I do to having people who are just hearing about data [01:57.000 --> 02:00.000] And it's a very, very scary topic [02:00.000 --> 02:08.000] And what I'm supposed to be doing is raising the level so that we at least come to the same level of understanding [02:08.000 --> 02:13.000] What does it mean for me? What does it mean for the company? What is data? [02:13.000 --> 02:17.000] I mean we really go into those type of basic conversations [02:17.000 --> 02:23.000] So that really is a challenge and an opportunity, huge opportunity [02:23.000 --> 02:26.000] So that keeps me awake at night, how do I do that?
(The audio was taken from an interview I had with Camilla Björkqvist last year).
The future is here :)