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.
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 AI.
It supports 15+ languages with more being added regularly (Indic & European languages included). It handles voice cloning from just 5-15 seconds of audio, and gives you flexible streaming via HTTP, SSE, or WebSocket. Whatever fits your stack.
We built this for developers shipping voice assistants, conversational AI, IVR systems, customer support bots, and anything that needs immediate, human-sounding voice feedback. Whether you're a solo builder or an enterprise team, the API is simple and the docs are solid.
We've been heads down on this for a while and we're genuinely proud of where V3 lands. Would love for you to try it and tell us what you think!
About Lightning V3 on Product Hunt
“Text-to-Speech built for Voice Agents”
Lightning V3 launched on Product Hunt on April 2nd, 2026 and earned 349 upvotes and 23 comments, earning #2 Product of the Day. 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.
On the analytics side, Lightning V3 competes within Languages, Artificial Intelligence and Audio — topics that collectively have 482.5k followers on Product Hunt. The dashboard above tracks how Lightning V3 performed against the three products that launched closest to it on the same day.
Who hunted Lightning V3?
Lightning V3 was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Rohan Chaubey
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 AI.
It supports 15+ languages with more being added regularly (Indic & European languages included). It handles voice cloning from just 5-15 seconds of audio, and gives you flexible streaming via HTTP, SSE, or WebSocket. Whatever fits your stack.
We built this for developers shipping voice assistants, conversational AI, IVR systems, customer support bots, and anything that needs immediate, human-sounding voice feedback. Whether you're a solo builder or an enterprise team, the API is simple and the docs are solid.
We've been heads down on this for a while and we're genuinely proud of where V3 lands. Would love for you to try it and tell us what you think!