#39 · Primary category: Speech & Audio
argmax-oss-swift
On-device Speech AI for Apple Silicon
Project last updated:08/13/26
GitHub Stars
6.3K
Forks
606
Contributors
42
License
MIT
Why we included this project
Speech recognition, speaker diarization, and text-to-speech usually mean sending audio to a cloud API, but Argmax's open-source SDK keeps all three on-device in a single Swift package for macOS and iOS. Whisper handles speech-to-text, Pyannote handles speaker diarization, and Qwen handles text-to-speech, so a full transcription pipeline with speaker labels can run entirely on Apple Silicon without shipping audio anywhere. That combination matters for privacy, offline use, and avoiding per-minute API charges, and it saves teams the work of stitching together several network calls. It is also a good way to gauge how far local speech AI has come on Apple hardware before committing to a hosted service.
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