use-local-whisper

You can transcribe WhatsApp voice messages locally on Apple Silicon by using whisper.cpp to process audio files entirely offline without API dependency. The Skill relies on the whisper-cli binary and ffmpeg to handle the on-device speech-to-text conversion.

Yes, offline voice transcription on Mac is possible without external APIs by running whisper.cpp locally. This approach eliminates network connectivity requirements and API keys, enabling private, cost-effective speech-to-text processing directly on Apple Silicon devices.

To run local speech-to-text conversion for WhatsApp audio, you need the whisper-cli binary and the ffmpeg tool installed on an Apple Silicon device. These dependencies process the audio files before transcription occurs locally.

Yes, whisper.cpp works with WhatsApp voice notes on Apple Silicon devices by providing an on-device transcription workflow. The integration specifically targets WhatsApp voice messages, leveraging local processing for offline accessibility and privacy.

Local audio transcription using whisper.cpp reduces cost and dependency on network connectivity compared to cloud-based speech-to-text APIs. It runs entirely offline on Apple Silicon, ensuring privacy and facilitating quick transcription of voice notes without internet access.

Offline transcription with whisper.cpp for WhatsApp is limited to Apple Silicon devices and requires both the whisper-cli binary and ffmpeg. Users must ensure these dependencies are properly configured before processing voice messages locally.