This Open-Weights TTS Beat ElevenLabs... Then I Read the License

Breeze TTS 2 is one of the most interesting open-weights text-to-speech models to land this year, with voice design from plain-English prompts, local inference, and a provider-voice score on Artificial Analysis that puts it ahead of ElevenLabs. In this video, I test what Breeze TTS 2 can actually do, show how its voice design and inline vocal events work, break down the benchmark results properly, and explain why the licensing is a huge problem here. 🔗 Relevant Links Hugging Face - https://huggingface.co/BreezeBlue/Breeze-TTS-2 BreezeBlue - https://breezeblue.ai/ ❤️ More about us Radically better observability stack: https://betterstack.com/ Written tutorials: https://betterstack.com/community/ Example projects: https://github.com/BetterStackHQ 📱 Socials Twitter: https://twitter.com/betterstackhq Instagram: https://www.instagram.com/betterstackhq/ TikTok: https://www.tiktok.com/@betterstack LinkedIn: https://www.linkedin.com/company/betterstack 📌 Chapters: 0:00 Breeze TTS 2 vs ElevenLabs 0:31 What Is Breeze TTS 2? 1:43 Running Breeze TTS 2 Locally on Mac 2:42 How Breeze TTS 2 Works 3:51 What is Breeze Built On? 4:27 Breeze TTS 2 vs ElevenLabs Benchmark 6:16 The Breeze TTS 2 License Problem 7:45 Limitations, Bugs & Language Support 8:35 Breeze TTS 2 vs VoxCPM2 9:00 Should You Use Breeze TTS 2?