Vogent Voicelab is a platform for optimized inference of top open-source voice models, like Sesame's CSM-1B, Dia, Chatterbox, and more. Voicelab optimizes and post-trains these models to generate consistently high-quality speech ultra-fast.
We’re excited to launch Vogent Voicelab (vogent.ai/voicelab): an optimized API to run top open-source voice models.
New open-source text-to-speech models come out every week, with many ranking as state-of-the-art on popular benchmarks.
However, most of these models are not readily usable for high-volume, low-latency inference. Additionally, some research preview models can struggle with hallucinations and inconsistent outputs. Finally, as with any model, hosting yourself and managing compute can be a headache.
Voicelab solves these problems:
Voicelab maintains a proprietary inference stack that is optimized to serve text-to-speech transformers efficiently and scalably.
Voicelab post-trains select models to improve consistency and offer high-quality professional voice clones.
Voicelab manages all compute, so you can pay for these models per-character instead of managing GPUs.
All of this is exposed through a standard text-to-speech API (with streaming/websocket support) and an online playground.
Fast, optimized, and crystal-clear speech from top models! Vogent Voicelab nails it. Love it, it deserves a vote!
Vogent Voicelab's ability to optimize and post - train open - source voice models for high - quality and fast speech generation is really impressive! For users who need to generate speech in multiple languages, does Vogent Voicelab support a wide range of languages and dialects?
Vogent Voicelab delivers studio-quality voice tweaks and sound effects in an elegant package. Ideal for podcasters and audio creators, it truly places professional tools into every creator’s hands. Love the polished selection of features—this is audio done right!
Just stumbled on Vogent and honestly? Kinda excited to see what these voice models can do. The page looks promising!
One of my biggest challenges with AI voices is that sometimes it can feel a bit "robotic". For example, some of the "um" and "uh" filler words almost feel too intentional and not accidental. What are the team's advice to making the tone feel more natural?
Incredible quality and speed - finally a way to use top TTS models without the GPU hassle. Love the pay-per-character model!
Wow this is so cool. How do you guys compare against Eleven Labs and Cartesia?
We ran into the exact issue of halluncinations/inconsistency when trying to autogenerate voice over our short form video content.... will give this a spin. Congrats!
Congratulations on your launch! Nice landing page. The text to speech model is great
Ultra-realistic text-to-speech with top open-source voice models sounds impressive! Optimizing for speed and quality could make this a great tool for creators needing natural voiceovers. Definitely worth checking out if you work with audio content! 🎙️🚀
