design

speech‑swift: On‑device AI Speech Suite for Apple Silicon

Add real‑time ASR, TTS, speech‑to‑speech, VAD and diarization to iOS/macOS apps without cloud costs. Ideal for founders building privacy‑first voice features. 1.2k+ GitHub stars.

From the repo · “AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML”

1,244 stars+11★ this week179 forksSwiftGuide quality 8/10 · reviewed Oct 18Updated 10/21/2026100% free · open source
What it does

Speech-swift is an AI speech toolkit for Apple Silicon that enables automatic speech recognition, text-to-speech, speech-to-speech, voice activity detection, and diarization in iOS and macOS applications

When to use it
  • •Building a voice-controlled iOS app that needs to transcribe user speech
  • •Creating a macOS application that requires text-to-speech functionality
  • •Developing a speech-to-speech translation app for Apple devices
Ready-to-paste prompt
let recognizer = SpeechRecognizer(); recognizer.transcribe(audioFile: AudioFile(url: URL(string: "https://example.com/audio.mp3")!))
Heads up: The speech-swift toolkit requires Apple Silicon (M1 or later) and Xcode 13 or later to build and run, due to its dependency on MLX and CoreML
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/speech-swift && curl -fsSL https://workflowstacks.com/api/skills/speech-swift/claude-skill -o ~/.claude/skills/speech-swift/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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Quick Actions
Details
Creator
soniqo
Language
Swift
Category
design
Published
2/4/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/speech-swift.svg)](https://workflowstacks.com/skills/speech-swift?utm_source=github&utm_medium=badge)
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