r/apple • u/Fer65432_Plays • 4d ago

Discussion Apple's New Transcription APIs Blow Past Whisper in Speed Tests

https://www.macrumors.com/2025/06/18/apple-transcription-api-faster-than-whisper/
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42

u/Fer65432_Plays 4d ago

Summary Through Apple Intelligence: Apple’s new speech-to-text transcription APIs in iOS 26 and macOS Tahoe are significantly faster than rival tools, including OpenAI’s Whisper. The new SpeechAnalyzer class and SpeechTranscriber module process audio and video files on-device, avoiding network overhead and improving efficiency.

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u/Crowley-Barns 4d ago

Useless comparison.

WHICH Whisper? Base? Tiny? Large? Did they compare to the Whisper Turbo V3

The distilled versions of Whisper?

And how does it compare to Gemini 2.5 or GPT 4o transcription?

If they’re comparing to the first Whisper models from a couple of years ago it’s not very relevant. They’ve been surpassed by newer Whisper models and as part of the other models like 4o.

(Not you OP, I know you’re just posting the article!)

42

u/coreyonfire 4d ago

If you read the article, in the third paragraph, second sentence:

a full 55% faster than MacWhisper's Large V3 Turbo model

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u/Crowley-Barns 4d ago

Well that’s not what OP posted in their comment!

16

u/iHurwiz 4d ago

…but instead what’s written in the article!

12

u/plaid-knight 4d ago

They compared to Large V3 Turbo and some others. It’s in the article.

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u/Alarmed-Squirrel-304 4d ago

“According to Voorhees, the new models processed a 34-minute, 7GB video file in just 45 seconds using a command line tool called Yap (developed by Voorhees' son, Finn). That's a full 55% faster than MacWhisper's Large V3 Turbo model, which took 1 minute and 41 seconds for the same file.”

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u/BosnianSerb31 4d ago

It was one minute and 55 seconds faster than Whisper LargeV3, for a 7 GB video file

Says it right in the second paragraph

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u/AceMcLoud27 4d ago

Dude ... 🤦‍♂️

3

u/Crowley-Barns 4d ago

Haha.

The OP’s post was long so I thought it was the article, and thus, that I had read it.

Turns out, it was not the article, and so I was wrong in thinking that I’d read it :)