TTSKit

WhisperKit is expanding into text-to-speech! TTSKit adds a new library for on-device text-to-speech using Core ML-accelerated Qwen3-TTS models (CustomVoice 0.6B and 1.7B in this first release) with real-time streaming playback on Apple Silicon. In this first PR, we're introducing the library into the WhisperKit package (WhisperKit will be renamed to reflect the new multi-Kit nature of Argmax Open-source SDK) as an optional import to add real-time TTS capabilities with a state-of-the-art open-source model, either on its own or as a complement to WhisperKit speech-to-text.

WhisperKit is expanding into text-to-speech! TTSKit adds a new library for on-device text-to-speech using Core ML-accelerated Qwen3-TTS models (CustomVoice 0.6B and 1.7B in this first release) with real-time streaming playback on Apple Silicon. In this first PR, we're introducing the library into the WhisperKit package (WhisperKit will be renamed to reflect the new multi-Kit nature of Argmax Open-source SDK) as an optional import to add real-time TTS capabilities with a state-of-the-art open-source model, either on its own or as a complement to WhisperKit speech-to-text.

• 01On-device speech recognition
• 02Optimized for Apple Silicon devices
• 03Supports multiple Whisper models
• 04Efficient and accurate processing
• 05Seamless integration with Apple's ecosystem