use-local-whisper

Local transcription for WhatsApp audio uses whisper.cpp on Apple Silicon to convert voice messages to text directly on your machine. It replaces external API calls with on-device processing to ensure privacy and eliminate usage fees.

On-device voice transcription with whisper.cpp requires a local installation of whisper-cpp, ffmpeg, and a downloaded GGML model file. You need these dependencies installed on your Apple Silicon machine before processing audio locally.

Yes, local transcription replaces OpenAI Whisper API calls by performing all voice-to-text conversion on-device using whisper.cpp. This addresses privacy concerns by keeping audio data local and reduces operational costs by eliminating API usage fees.

Local whisper transcription is specifically designed for Apple Silicon to process WhatsApp voice notes on-device. It leverages whisper.cpp to perform voice-to-text conversion locally without sending audio data to external servers.

Local whisper transcription ensures privacy by keeping sensitive audio data on your machine and eliminates API usage fees associated with cloud-based transcription services. All processing happens on-device using whisper.cpp and a GGML model file.