Hugging Face releases Swift packages for on-device transcription and decisions
Hugging Face published two open packages for Apple platforms. AnySpeechRecognizer keeps Apple's speech-to-text API but lets apps swap in NVIDIA's Parakeet or Alibaba's Qwen3-ASR running on the device, and adds speaker labelling for up to four speakers. AnyDecisionModel answers yes-or-no, multiple-choice and rating questions, such as 'is this urgent?' or 'which team?', with probabilities instead of generated text. On one M4 Max Mac, Parakeet transcribed an hour of audio from a file in about 20 to 40 seconds, but every engine had over 23% word error rate on meeting recordings where people talk over each other, and so far it has been tested only on macOS 27, not on an iPhone.
Why it matters: If you build Mac or iPhone tools for support or sales teams, you can transcribe calls or route tickets on the device without sending data to a cloud API; measure accuracy on your own audio first.
Hugging Face ↗AI-assisted, reviewed by Sorted AI
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