aviaryan

It's the same (or better) than Whisper models, in my experience.

However, Wispr Flow does post-processing, so its output might be more useful, as it removes fluff from your speech.

I think it's possible to implement fast, local post-processing using the Gemma models. So I will give it a shot. If it works, then the output will be as good as the best paid options available.

Needless to say, if you speak very precisely, then my project is all that you need. It's almost 100% accuracy, I haven't seen a mistake yet (crazy, I know).

It is possible. However, given that the transcription was always instantaneous, I didn't see the need for it. I will attempt to implement it for the next version.

Yes, we plan to use that as a means to sustain ourselves till we can actually make some money from this. Thanks for pointing, I have mentioned it in the landing page's FAQ now.

We are live on Product Hunt! :tada:

I have used the comments and feedback mentioned here to add an FAQ section on the landing page. Thank you, everyone. :pray:

You are right. It should be explained in detail somewhere as lots of people had questions regarding it on HN.

Haha, I am sure I can optimize the loading time. A blockstack account is required for reliably managing the auth. It's much better than relying on Google for it or coding one of our own IMHO.

True. I will be careful. Thanks for pointing it out.

Updated the landing page quickly. It shows more info about the app along with a screenshot.