Text-to-Speech built for Voice Agents
Introducing Lightning V3 — Smallest AI's most advanced text-to-speech model. With 100ms latency, a 3.89 WVMOS score, and support for English, Hindi, Spanish, Tamil and 15+ languages, V3 was preferred over OpenAI's GPT-4o-mini-TTS by listeners 76.2% of the time. Get audio output in 44.1 kHz and powers voice assistants, IVR systems, content creation and conversational AI with human-like speech. Instant voice cloning from just 10 seconds of audio. Real-time. Expressive. Enterprise-ready.
Hey Product Hunt! Lightning V3 delivers 100ms latency at 20 concurrent requests. That's real-time voice AI that actually scales. In blind listening tests, listeners preferred it over OpenAI's GPT-4o-mini-TTS 76.2% of the time, with a WVMOS score of 3.98. But speed means nothing if it sounds robotic. Lightning V3 scores 3.33/5 on intonation and 3.07/5 on prosody; meaning it doesn't just read text, it speaks with natural rhythm, pauses, and expression. The kind of voice your users won't realize is
Does it support emotion control via API? Like being able to dial up/down expressiveness depending on use case?
Super cool. Any plans for regional accents within languages (like Indian English vs US English)? I can use it for my SaaS tutorials.
How are you handling voice cloning misuse? Any safeguards in place?
How well does it handle code-switching? Like mixing Hindi + English in the same sentence?
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