Ditching the audio right away negates one useful feature offered by other transcribers, quick checking and editing: click a suspicious word and it jumps to that spot in the audio. (I suspect it’s just easier to build a web app than add major new capabilities to multiple mobile and desktop apps.)Īnd how are the transcripts? In my experience, about as good as other AI-powered ones, which is to say better than my notes but not quite ready to publish. Krisp CEO and co-founder Davit Baghdasaryan has a deep security background and said he’s looking forward to implementing this. But if you’re willing to trust another transcriber, why not this one? And anyhow, there will soon also be an option to keep your transcripts completely on device. The transcript itself is sent directly to Krisp’s cloud service, which for some kind of negates the security advantage of on-device transcription. I’m not sure what threat models that’s important to, but I suspect they exist and will only get more prominent in the coming years. On-device transcription is a key differentiator, for one thing because it’s simpler than dealing with audio files, and for another because the audio of your meeting never leaves your computer. The transcription agent doesn’t need to talk to any services or APIs, it just identifies voices coming in and going out, and transcribes them, on your device. So there’s no need for the “AI Meeting Assistant” to integrate with Google, Teams, Zoom or anything else, or be a phantom attendee - it deals strictly with your audio signal before it goes out or before theirs hits your ears. ![]() Krisp already operates more or less behind the scenes, acting as a passthrough for audio sources. So when they told me they were getting into transcription I was happy to hear it: It’s a natural extension of a voice-focused platform, and of course they know they can get a clean voice signal in. The advance that made it possible was basically training the system to recognize and isolate human voices, which while diverse are also distinct and very different from dogs barking, traffic noise and so on. Krisp has also shown a certain single-mindedness over the years, focusing on effective noise reduction across lots of devices and services. Wherever I can shave a few minutes or clicks off my workflow I’m usually interested. Compared to just a few years ago this is very convenient, of course, but the number of meetings we take online has multiplied. My transcribing experience is usually a matter of downloading the video or audio associated with a meeting, provided someone thought to record it (and I know who that someone was), then uploading that file to a service like Otter and waiting 10-15 minutes while it processes. Krisp got its start as an AI-powered noise-cancellation service, but now the startup is moving beyond that with instant on-device transcription of all your calls and meetings - and of course it integrates ChatGPT now for quick summaries as well.
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