soniqo/speech-swift

• highreadme#1

  Reposition README opening to emphasize "developer toolkit"

  Why:

  CURRENT

  # Speech Swift
  
  AI speech models for Apple Silicon, powered by MLX Swift and CoreML.

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  # Speech Swift: On-Device AI Speech Toolkit for Apple Developers
  
  Speech Swift is a comprehensive AI speech toolkit for Apple Silicon, providing a simplified API for ASR, TTS, speech-to-speech, VAD, and diarization, powered by MLX Swift and CoreML.

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• mediumcomparison#2

  Add a "Comparison with Alternatives" section

  Why:

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  ## Comparison with Alternatives
  
  Unlike general-purpose cloud APIs or low-level frameworks, Speech Swift offers a simplified, reactive (Combine-based) API for leveraging native, on-device speech recognition and synthesis capabilities specifically optimized for Apple Silicon. This provides a privacy-focused, offline-capable solution distinct from cloud-based services like Amazon Polly or Google ML Kit, and offers a higher-level toolkit experience compared to directly using Apple's Speech Framework or cross-platform libraries like Whisper.cpp.

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• lowexamples#3

  Add a "Quick Start" code example to the README

  Why:

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  ## Quick Start
  
  To get started with on-device speech recognition, add Speech Swift to your Xcode project and use the following example:
  
  ```swift
  import SpeechSwift
  
  func recognizeSpeech() async throws {
      let recognizer = try SpeechRecognizer()
      let result = try await recognizer.transcribeAudio(url: audioFileURL)
      print("Transcription: \(result.text)")
  }
  ```
  
  For more detailed examples and advanced features, please refer to the [Full Documentation](YOUR_DOCS_LINK_HERE).

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How to implement on-device speech recognition and synthesis for iOS applications?

  you: not recommended
  AI recommended (in order):

  1. Apple Speech Framework
  2. OpenAI Whisper
  3. Picovoice Rhino & Porcupine
  4. Google ML Kit
  5. Amazon Polly

  AI recommended 5 alternatives but never named soniqo/speech-swift. This is the gap to close.

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• CATEGORY QUERY

  Looking for a local AI toolkit for speaker diarization and voice activity detection on Apple devices.

  you: not recommended
  AI recommended (in order):

  1. Whisper.cpp (ggerganov/whisper.cpp)
  2. Silero VAD (snakers4/silero-vad)
  3. Core ML
  4. SpeechBrain (speechbrain/speechbrain)
  5. pyannote.audio (pyannote/pyannote-audio)
  6. OpenVINO (openvinotoolkit/openvino)
  7. ONNX Runtime (microsoft/onnxruntime)
  8. PyTorch Mobile (pytorch/pytorch)

  AI recommended 8 alternatives but never named soniqo/speech-swift. This is the gap to close.

  Show full AI answer

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of soniqo/speech-swift?

  pass
  ✓AI named soniqo/speech-swift explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts soniqo/speech-swift in production, what risks or prerequisites should they evaluate first?

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  ✓AI named soniqo/speech-swift explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo soniqo/speech-swift solve, and who is the primary audience?

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  ✓AI named soniqo/speech-swift explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?