If you ever need to transcribe audio or video to text, most current apps are powered by OpenAI’s Whisper model.You’re probably using this model if you use apps like MacWhisper to transcribe meetings or lectures, or to generate subtitles for YouTube videos.But iOS 26 and Apple’s other developer betas include the company’s own transcription frameworks – and a test suggests that they match Whisper’s accuracy while running at more than twice the speed … If you’ve ever used the built-in dictation capabilities of any of your Apple devices, this is handled by Apple’s own speech framework.
In the new betas, there are beta versions of SpeechAnalyzer and SpeechTranscriber which developers can use in their own apps.John Voorhees asked his son to create a command-line tool to test this new capability, and was incredibly impressed by the results.He used a 34-minute video to test it against both MacWhisper and VidCap, two of the most popular transcription apps.
He found the Apple’s modules matched the accuracy of these, but was more than twice as fast as the most efficient existing app, MacWhisper running the Large V3 Turbo model: He argues that while this might seem a relatively trivial improvement for one-off tasks, the differences will quickly add up when performing either batch transcriptions or needing to transcribe files very regularly, like students with lecture notes.If you’re running the macOS Tahoe developer beta, you can install Yap from GitHub to test it for yourself.Highlighted accessories Anker 511 Nano Pro ultra-compact iPhone charger Spigen MagFit case for iPhone 16e – adds MagSafe support Apple MagSafe Charger with 25w power for iPhone 16 models Apple 30W charger for above Anker 240W braided USB-C to USB-C cable You’re reading 9to5Mac — experts who break news about Apple and its surrounding ecosystem, day after day.
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