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Speechka

Real-time AI translation in your own voice
2 ratings4.25
Saves92
CategoryProductivity
PlatformWeb
PricingFreemium

Speechka is a real-time voice translation app that translates your speech into 44 languages and delivers it using your personal voice in meetings, calls, livestreams, conferences, and other live conversations. It integrates with popular communication platforms to enable natural multilingual interaction with low latency and context-aware translations.

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4.25

2 reviews

Product
4.75
Design & Polish
4.25
Performance
3.75
Mobile PageSpeed
Performance
73 out of 100, Needs improvement
Accessibility
91 out of 100, Good
Best Practices
100 out of 100, Good
SEO
100 out of 100, Good

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Information

CategoryProductivity
PlatformsWeb
PricingFreemium
AccountNot confirmed
ListedSeptember 2026
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Website checks

Mobile PageSpeed
Performance
73 out of 100, Needs improvement
Accessibility
91 out of 100, Good
Best Practices
100 out of 100, Good
SEO
100 out of 100, Good

Website checks are queued. Results will appear here when complete.

Around the Web

Product Hunt92 source points · 5 comments

A few days ago i had a meeting with a client and honestly communication was bit difficult cuz their English was not very strong and mine isn't perfect either :D. If i had Speechka with me at that time the meeting would have been much easier. and I am happy to see that you support 44 lang, including Punjabi which we don't see in many translation tools. @dmytro_ivanchenko I wanted to ask about credit system. I didn't get a chance to fully check the offer, but how do the credits work? is it based on meeting time, Minutes used or something else? At the end I'd just say that your product is really good. Wishing you all the best with the launch :)

tahir21 · Imported from Product Hunt

The 1.5s average delivery time is the number that jumped out at me. I build Callie Care, a voice AI that phones aging parents every day, and past roughly two seconds of dead air an older person assumes the line dropped and starts talking over you. How do you handle turn-taking at that latency: gate on end-of-utterance detection, or stream a partial translation and correct as you go? Long mid-sentence pauses from slower speakers wreck naive VAD thresholds for us, and I would guess translation makes that harder rather than easier.

igorgurovich · Imported from Product Hunt