unfortunately no actual measure of quality given in the article
1659447091 · 2h ago
>> By harnessing SpeechAnalyzer and SpeechTranscriber on-device, the command line tool tore through the 7GB video file a full 55% faster than MacWhisper’s Large V3 Turbo model, with no noticeable difference in transcription quality.
App Transcripiton Time
--------------------------------
Yap (uses Apple APIs) 0:45
MacWhisper (Large V3 Turbo) 1:41
VidCap 1:55
MacWhisper (Large V2) 3:55
>> All three transcription workflows had similar trouble with last names and words like “AppStories,” which LLMs tend to separate into two words instead of camel casing.
GeekyBear · 5h ago
It sounds like the quality is better than YouTube's.
> a game changer for anyone who uses voice transcription to create text from lectures, podcasts, YouTube videos, and more... generating transcripts that I upload to YouTube because the site’s built-in transcription isn’t very good.
and on par with Whisper.
> SpeechAnalyzer and SpeechTranscriber – available across the iPhone, iPad, Mac, and Vision Pro – mark a significant leap forward in transcription speed without compromising on quality
> a game changer for anyone who uses voice transcription to create text from lectures, podcasts, YouTube videos, and more... generating transcripts that I upload to YouTube because the site’s built-in transcription isn’t very good.
and on par with Whisper.
> SpeechAnalyzer and SpeechTranscriber – available across the iPhone, iPad, Mac, and Vision Pro – mark a significant leap forward in transcription speed without compromising on quality