Apple’s Speech-to-Text Transcription APIs Outperform OpenAI’s Whisper
Apple’s latest speech-to-text transcription APIs in iOS 26 and macOS Tahoe are setting a new standard for speed and accuracy. According to recent beta testing conducted by MacStories’ John Voorhees, Apple’s on-device transcription technology is proving to be over twice as fast as OpenAI’s Whisper model.
During the beta testing, it was discovered that Apple’s new transcription API ‘SpeechAnalyzer’ outperformed OpenAI’s Whisper in speed tests. The test results revealed that Apple’s models can process a 7GB, 34-minute video file in just 45 seconds, which is a remarkable 55% faster than Whisper’s fastest model.
One of the key factors contributing to Apple’s superior performance is its on-device processing. By handling speech-to-text transcription directly on the device rather than in the cloud, Apple is able to deliver real-time transcription results at unmatched speeds.
Impressive Speed and Accuracy
Apple Intelligence-based Yap was able to transcribe a 7GB 4K video file into subtitles in just 45 seconds, showcasing the remarkable speed and accuracy of Apple’s speech framework tools. Compared to the Whisper-based app, Apple’s technology consistently demonstrated speeds over twice as fast, with no compromise on transcription quality.
Overall, Apple’s new speech-to-text transcription APIs are revolutionizing the way we interact with audio content, offering lightning-fast transcription capabilities that surpass competitors like OpenAI’s Whisper. With Apple’s commitment to on-device processing and real-time transcription, users can expect unparalleled speed and accuracy in converting speech to text.
