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.
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
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.
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.
We've just released VIVA 2.5, already running across 1B+ minutes of voice-AI conversations every month. This release includes two new models: Voice Isolation 2.5 and Voice Isolation 2.5 Lite. Here's what they bring:
57% average WER reduction across all tested conditions
STT engines become usable again. WER drops from 61% to 14.9% when competing voices are present the condition that previously broke most STT pipelines
No hurt on clean audio. On single-speaker recordings with clean audio, Voice Isolation 2.5 doesn't hurt accuracy. This is a significant update from Voice Isolation 2.1
Voice Isolation 2.5 Lite delivers comparable accuracy while being 3.5x smaller, for CPU-constrained and edge deployments
Full details on the blog https://krisp.ai/blog/voice-isol...
