Whisper.cpp and transparent transcription diagnostics
New
- A second transcription provider: local whisper.cpp recognition combined with FluidAudio speaker diarization.
- Choose between tiny, base, small, medium and large-v3-turbo-q5_0 Whisper models, plus a specific recognition language or automatic detection.
- Metal acceleration and provider-specific diagnostics for Core ML, Apple Neural Engine, Metal, command-line tools and model availability.
- Summary frontmatter now records the transcription provider, model, language and acceleration mode.
- Choose a specific microphone or follow the current macOS system input automatically.
Improvements
- Model and provider technology cards in Transcription settings are now collapsible and use much less space.
- System-audio and microphone meters now share a consistent grid.
- Russian and English localization has been reviewed and completed for the new settings.
- If FluidAudio finds no speaker turns, the recognized text is now preserved as one segment instead of failing with an
Invalid combined.txt headererror. - Stalled CLI summarizers that produce no output are stopped after 120 seconds together with their child processes, then the next LLM in the fallback chain is used automatically.
- The release includes universal binaries for Apple Silicon and Intel Macs.