Oats is an AI meeting note-taking tool that is completely open, local, and free. Designed to not get in the way of your meetings, no bots, no subscription needed when running locally with on-device LLM. Available on both macOS and Windows. Enhanced transcription, multi-language support, speaker recognition, assessment, coaching, auto-tracking follow ups and more features via ariso.ai cloud backend.
The no-bot-in-the-call part is what stands out to me. I build voice AI for daily check-in calls with older adults, and the thing that consistently bites us is not the LLM, it is the front of the pipeline: soft or slurred speech, hearing aids, a TV going in the background. Which on-device ASR did you settle on for the local path, and how much accuracy do you give up versus the Ariso cloud route on noisy audio? Also curious whether speaker recognition is cloud-only by design, or if local diarization is on the roadmap.
This is one of those tools where the local AI actually makes sense. Congrats @erkang
Can Oats pick up audio from headphones as well as the laptop speakers? that’s always a tricky part with meeting apps.
this feels like the kind of AI utility that should just be available to everyone.
Really curious about the speaker recognition part. does that work locally too or does it require the Ariso backend?
Congrats @maxheckel how much CPU/RAM does it typically use while recording? curious how lightweight it is on older laptops.
Refocus
The no-bot-in-the-call part is what stands out to me. I build voice AI for daily check-in calls with older adults, and the thing that consistently bites us is not the LLM, it is the front of the pipeline: soft or slurred speech, hearing aids, a TV going in the background. Which on-device ASR did you settle on for the local path, and how much accuracy do you give up versus the Ariso cloud route on noisy audio? Also curious whether speaker recognition is cloud-only by design, or if local diarization is on the roadmap.