Ross ROSS = Recommend OSS · open-source software intelligence for agents

soniqo/speech-swift

AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML observed · 2026-09-03

github.com/soniqo/speech-swift · homepage · Swift · Apache-2.0 (permissive) observed · 2026-09-03

Health v2 · maintenance only

83/100

  • Activity 100
  • Release rhythm 100
  • Longevity 15
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 4.5
  • age_days: 211
  • days_rel: 0
  • days_push: 0
  • n_releases_24m: 27

Full methodology

Adoption not part of the score

1161 stars · 158 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open-source Swift toolkit for on-device speech AI on Apple Silicon, providing ASR, TTS, speech-to-speech, VAD, and speaker diarization via MLX (Metal GPU) and CoreML (Neural Engine). It ships as a Swift package with modular components, plus a Homebrew CLI and an OpenAI-compatible HTTP/WebSocket server, all running fully offline.

Use cases

  • transcribe audio to text locally on a Mac
  • generate speech from text on-device
  • build a privacy-preserving voice agent with VAD, STT, LLM, and TTS
  • run speaker diarization on meeting recordings
  • clone a voice and synthesize speech offline
  • add dictation to an iOS app without cloud APIs
  • serve local speech AI through an OpenAI-compatible realtime endpoint

When to choose

  • you need fully offline, private speech AI on Apple Silicon Macs or iOS
  • you want a native Swift async/await API instead of C++ bridges
  • you need low-latency realtime transcription or full-duplex speech-to-speech
  • you want to avoid cloud API costs and per-minute pricing

When to avoid

  • you need to run on non-Apple hardware (Android/Windows/Linux support is via separate SDKs, not this Swift package)
  • you target macOS below 15 or iOS below 18
  • you need MLX-based models on iOS, which are macOS-only
  • your project is not in the Swift/Apple ecosystem

Facets

library · maturity active

speech-recognition tts audio-processing machine-learning llm-inference cli http-server websocket speech-processing machine-learning artificial-intelligence apple-ecosystem mobile-development developer-tools cli on-device apple-silicon mlx coreml voice-activity-detection speaker-diarization voice-cloning offline-inference voice-agents speech-to-speech openai-compatible-api macos ios swift apple-ecosystem

4 sources

Member repositories

RepositoryRoleHealth v2
soniqo/speech-swiftmain83

For agents

markdown · JSON · MCP: product_card(name="soniqo/speech-swift")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem