whisperer VS SpeechRecognition

I have a Python script on my mac that detects when I press-and-hold the right option key, and records audio while it's pressed. On release, it transcribes it with whispercpp and pastes it. Makes it very easy to record quick voice notes. Here it is: https://github.com/corlinp/whisperer

I was working on a native version in the form of a taskbar app with customizable prompt and all. However I quickly realized that the behaviors I want the app to do require a bunch of accessibility permissions that would block it from the app store and require more setup steps.

Would anybody still find that useful?

Start and Stop Listening Example

There is a great library that has support not only with OpenAIs whisper but many others that also work offline. https://github.com/Uberi/speech_recognition

This is the library: https://github.com/Uberi/speech_recognition

It is python remote plugin that is a tin wrapper around speech_recognition package.

I am less familiar with speech recognition myself. I have implemented something similar many years ago, back when Google had a REST API that allowed you to upload audio and they would respond with the recognized words/sentence. I think they still have the same API available, though. They limited how much you could send, but for voice commands it was pretty solid. However, SpeechRecognition looks like a library worth trying out for this, as that seems like it could do offline processing depending on the underlying library. They also have some examples to look at.

SpeechRecognition

I found this one here

https://github.com/Uberi/speech_recognition/blob/master/reference/library-reference.rst this might help. I guess your best bet is to rtfm.