The 6 Best On-Device TTS Models for Voice AI
Blog post from Stream
Voice AI applications benefit from a variety of text-to-speech models, including both commercial options like Cartesia Sonic 3 and Grok TTS, and free, open-source models that run locally to maintain data privacy. These open-source models include VibeVoice, Qwen3-TTS, Neu TTS, Pocket TTS, TADA TTS, and Kitten TTS, each offering unique features and capabilities. VibeVoice is designed for multi-speaker, long-form audio applications with multi-language support, while Qwen3-TTS allows for extensive customization and voice cloning in ten languages. Neu TTS is suitable for on-device deployment with voice cloning capabilities, though its multilingual support is limited. Pocket TTS provides quick voice cloning capabilities but lacks multilingual support. TADA TTS excels in natural voice generation across multiple languages and runs entirely on a GPU. Kitten TTS is the most lightweight model, suitable for basic applications with limited customization options. Developers can integrate these models into Vision Agents for building scalable and private voice-enabled services. Each model has its own set of limitations, such as language support and expressiveness, which should be considered when choosing the right model for specific use cases.