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Show HN: Scriber Pro – Offline AI transcription for macOS

scriberpro.cc

31–40 of 120 posts

Re: Show HN: Scriber Pro – Offline AI transcription for macOS

#35
post #31

Earlier quoted context omitted.

Yours isn't OSS, meaning I have no idea what I'm running

OSS would be incredibly slow, also seems like overkill for this use case

What does that even mean? Why would OSS make it slower? Why would it be an overkill? This is not Producthunt, you have to give at least some kind of explanation for your claims.

Re: Show HN: Scriber Pro – Offline AI transcription for macOS

#36
post #95

[stub for offtopicness]

Seems like a great app, but I have to ask: https://scriberpro.cc/about/ Are you trolling people with this page's design? Unreadable colors AND a wobble effect? :D

reading on drugs simulator?

Re: Show HN: Scriber Pro – Offline AI transcription for macOS

#37
post #27

Word level timestamps?

Can you clarify your question

I think they are trying to do something like select a word in the transcript and be take straight to the point in the video that said word was spoken

Re: Show HN: Scriber Pro – Offline AI transcription for macOS

#38
post #4

Earlier quoted context omitted.

MacWhisper crashes at about an hour of context. This uses, smart, invisible regex in the text generation pipe. Makes this fast. + bonus, there is no context limit

"Smart, invisible regex" sounds like a lot of bs... could you give a more technical explanation? Also the Whisper model doesn't really have a context window, it already segments the audio with a certain amount of overlap between the chunks, I really have a hard time understanding what you are trying to say here.

Whisper will fail > 99%* (edit, most of the time) of the time at lengths over 90 minutes and fairly high over one hour.

Re: Show HN: Scriber Pro – Offline AI transcription for macOS

#40
post #38

Earlier quoted context omitted.

"Smart, invisible regex" sounds like a lot of bs... could you give a more technical explanation? Also the Whisper model doesn't really have a context window, it already segments the audio with a certain amount of overlap between the chunks, I really have a hard time understanding what you are trying to say here.

Whisper will fail > 99%* (edit, most of the time) of the time at lengths over 90 minutes and fairly high over one hour.

This is just plain wrong. I have my own Whisper App in the AppStore (on iOS, with very limited memory capacity) and there are no problems at all with longer Audio / Video files.
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