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Clevr Labs
Banter 1: Human-like text-to-speech for Arabic & English
Banter 1 is Clevr Labs' first speech model: real-time, natural-sounding text-to-speech built for conversation, not narration. It captures the disfluencies, backchanneling, and vocal bursts that make speech feel human, with under 200ms latency. Supports English and Arabic, and is built for voice agents, conversational AI etc.
Hey PH, I'm Mustafa, one of the co-founders of Clevr Labs.
Today we're launching Banter 1 - our first Text to speech model, trained end to end
by us. Quick context on who's behind it: we're two 22-year-olds in Dubai who
taught ourselves ML over the past few years.
Banter 1 is real-time text-to-speech built for conversation, not narration. It captures the disfluencies, backchanneling, and vocal bursts that make speech feel human, with under 200ms latency. Supports English and Arabic, and is built for voice agents, conversational AI etc.
- ~136ms to first audio, consistently under 200ms under load
- $2.40 per hour of generated audio
- Straightforward TTS API — drop it into whatever you're building
Try the demo, NO SIGNUP. We wired Banter 1 into a voice agent so you can just talk to it and hear it answer.
Thanks :)
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About Clevr Labs on Product Hunt
“Banter 1: Human-like text-to-speech for Arabic & English”
Clevr Labs was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #126 on the daily leaderboard. Banter 1 is Clevr Labs' first speech model: real-time, natural-sounding text-to-speech built for conversation, not narration. It captures the disfluencies, backchanneling, and vocal bursts that make speech feel human, with under 200ms latency. Supports English and Arabic, and is built for voice agents, conversational AI etc.
Clevr Labs was featured in API (98.5k followers), Artificial Intelligence (475.9k followers) and Audio (2.1k followers) on Product Hunt. Together, these topics include over 128.5k products, making this a competitive space to launch in.
Who hunted Clevr Labs?
Clevr Labs was hunted by Mohammed Mustafa Pilakal. 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.
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Mohammed Mustafa Pilakal