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.
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! 🎙️🚀
Voice is one of the hardest mediums to polish, but Vogent Voicelab nails it. The voice-enhancement tools are intuitive and powerful—perfect for podcasters, narrators, and creators trying to get studio-level quality at home. The UI is super clean, and the output sounds pro without the hassle.
Vogent Voicelab is a game-changer for anyone working with voice AI. The API is super fast, reliable, and solves so many pain points around hosting, latency, and output quality.
Vogent Voicelab
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.
Docs: docs.vogent.ai/voicelab
TTS Playground: app.vogent.ai
Linkinize
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! 🎙️🚀
Vogent Voicelab
@naderikladious thank you!
WhoWhatWhyAi
Congratulations on your launch! Nice landing page. The text to speech model is great
Vogent Voicelab
@zeng thank you!