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Hitoo
Speak all languages in your own voice, in real time
95 followers
Speak all languages in your own voice, in real time
95 followers
Hitoo translates conversations in real time — not just words, but tone, intent, and cultural context — while preserving your own voice across over 50+ languages.
@matteo_pelosi - This tool is definitely something that people need today as they work across regions. For me personally it would be useful maybe 2 or 3 times a year. There is no pricing model details I could easily find on the site. Is it a monthly/annual subscription or will there be pay as you go options?
Best of luck with the launch.
@codeandsea Thanks Brent, really appreciate you taking the time to try it out.
You’ve hit on something important: the “2–3 times a year” use case is exactly why pricing shouldn’t force a subscription on everyone. We’re planning pay-as-you-go as the default — you pay for the minutes you actually translate, no commitment — alongside subscription tiers for teams and heavy users who want predictable billing.
You’re also right that the pricing isn’t clear on the site yet, and that’s on us. We’ll get a proper pricing page up so people don’t have to ask. In the meantime, happy to walk you through the numbers directly if useful.
Thanks again for the thoughtful feedback and the kind words on the launch. 🙏
@matteo_pelosi - Thanks for the clarification on pricing, your model totally works for me.
Wow, that's really impressive! I'm curious how does the voice cloning work? Do I only need to register my voice once, or do I have to read a set of predefined sentences first? How do you synchronize and preserve the speaker's voice identity across different languages?
@avery_green Great questions, thank you Avery!
On enrollment: you only need to register your voice once — no reading a script of predefined sentences. A short sample is enough for the model to extract a speaker representation, and that's reused from then on.
On cross-language preservation: the key is that voice identity and linguistic content are handled as separate things inside the model. Your speaker representation is language-agnostic, so it can condition speech generation in any of the supported languages without being tied to the phonetics of the one you enrolled in. That's what stops you from sounding like a generic voice with an accent when you switch languages.
Happy to go deeper if you're interested in the technical side — always fun to talk to someone who asks the right questions. 🙏
I know a startup that was accepted into YC that does this for the HealthCare industry. Do you specialize in a specific industry? or is this for the general public? I would imagine an industry-specific app would have a norower customer base but earn depth.
@rachid_abadli Really good question, and one we've thought about a lot.
Our beachhead is CCaaS — contact centres, where multilingual support is a daily operational cost, and the ROI is immediate and measurable. From there we're expanding into regulated verticals like healthcare, legal and finance, where accuracy and confidentiality requirements are higher.
But the underlying bet is that this is infrastructure, not a vertical app. AURIS is our own end-to-end speech-to-speech model, so the same core serves a contact centre, a clinician, or a developer building on top of our API — the depth comes from the model quality, and the verticalization happens in the layer above it.
So: narrow entry point, general-purpose foundation. Happy to hear which industry you had in mind. 🙏
Tried it on a call with a Japanese client and was honestly shocked how well it picked up on tone, not just the words. The fact that it keeps sounding like me across languages makes it feel way less awkward than other translators I've used.
@ramazan779050 This means a lot, thank you, Ramazan. Preserving tone and keeping your own voice across languages is the whole reason we built AURIS the way we did — most tools treat translation as just swapping words, and the result always feels a bit robotic and awkward. Hearing that it made a real client call feel natural is exactly the signal we're chasing.
Thanks again for trying it live on a real call. 🙏
Tried it with a friend who speaks Japanese and the tone actually came through instead of sounding flat or robotic. The voice preservation bit is wild, it really does sound like me but in another language.
@melahat45588 Love hearing this, thank you, Melahat! Japanese is one of the trickier languages to get tone right on, so the fact that it came through instead of sounding flat is exactly what we've been working toward. And yes — the voice preservation is the part that still feels a little magic to us too. Thanks so much for trying it out with your friend! 🙏
the tone translation thing is actually wild, like it picked up sarcasm in a chat i was having with a french friend and kept it intact in english. kind of mind blowing for something running in real time.
@nurgldurmalgvw Sarcasm is honestly one of the hardest things to carry across languages — it lives almost entirely in tone rather than in the words themselves, so most systems just drop it. Hearing that it survived a French → English conversation in real time is one of the best pieces of feedback we could get. Thank you Nurgül! 🙏