Most voice translation APIs work great in demos. Then real users show up with background noise, accents and verification code that gets garbled. We built our technology on a million live contact center calls where accuracy is non negotiable. 96% accuracy on real calls, zero patient safety incidents, 61+ languages with any to any pair.
Translation API is now available self-serve with 60 mins free credit upon signup to dev dashboard.
It took longer than it should have, mostly because it kept getting deprioritized in quarterly planning. And the annoying part is: the longer you wait on dark mode, the bigger it gets. More components to adjust, more edge cases, more workflows to test.
So we stopped debating it. No justification, no comparisons. We just shipped it.
Accent Conversion for the Listener removes accent friction in real time. It converts accented English into neutral American English on the listener’s side, so speakers don’t change how they talk — you just understand instantly. Fully on-device with near-zero latency and works across Zoom, Teams, and Meet. Built for global teams where “can you repeat that?” quietly slows everything down.
Automatic meeting transcription
Bot-free experience
Works with any voice app: no plugins or extensions are required.
AI-powered meeting notes and summary
Maintain a record of all your conversations
Long & short summary, Action items, and Discussion items
Our users have been asking for this integration since day one, especially after Krisp added an AI note taker to its Voice AI app. In fact, it got 6x more votes than the second most-requested integration.
Which naturally leads to the next question: why did it take us so long to build?
Deep voice AI technology is the DNA of everything we build at Krisp. Today we're launching VIVA 2.0 SDK, bringing that expertise to voice AI agent developers.
It makes AI agents sound more human. They know when to talk and when to stop. A skill some humans could use too
The problem is real: voice agents work great in demos, then fall apart in production. Audio is messy, and bots can't read conversations the way humans do. They talk over you. They stop every time you say "uh-huh." They can't tell a real interruption from someone just agreeing.
