use-local-whisper

Local voice transcription on macOS uses whisper.cpp and ffmpeg to process WhatsApp audio entirely on-device, eliminating API keys, network access, and cloud latency. The pipeline automatically checks dependencies, validates model files, and updates launchd paths for immediate offline use.

Local whisper transcription is designed specifically for macOS Apple Silicon to process WhatsApp voice messages. It leverages the hardware capabilities to run whisper.cpp and ffmpeg directly on-device, ensuring privacy and offline functionality without relying on external cloud services.

Offline voice transcription requires whisper.cpp, ffmpeg, and a GGML model file accessible to the service. The setup process automatically verifies these dependencies, installs missing tools, and updates launchd paths to ensure the local pipeline functions correctly.

Local whisper.cpp replaces the OpenAI Whisper API to eliminate external API costs and network access requirements. This on-device approach maximizes privacy, reduces latency, and allows offline voice transcription for WhatsApp messages without needing API keys.

Running voice transcription offline is possible when the MatClaw WhatsApp channel is switched to the local whisper.cpp engine. This setup processes audio locally on macOS Apple Silicon, ensuring full functionality without network connectivity or external API dependencies.