Launching today
Ellis
AI notes for in-person meetings
185 followers
AI notes for in-person meetings
185 followers
Ellis is an AI notetaker for in-person meetings. Record your meeting, get a clean transcript with each speaker identified, then ask anything — what was decided, what you missed, how it went. No laptop. No extra hardware. Just your iPhone (or Apple Watch).
How does it handle background noise and overlapping voices in a real conference room setup?
Ellis
@ferideayku48864 It uses AssemblyAI to diarize and identify the different speakers. But you should give it a try for your real conference room setup.
In-person notes are a different trust problem than meeting-bot notes. The useful detail is speaker correction and ownership after the recording, because the transcript becomes part memory, part operating record. Getting that boundary right matters.
Ellis
@krekeltronics 100% agree.
Honestly it's rare by volume but it clusters right where it hurts, the fast back-and-forth when a decision actually gets made, so it feels worse than the raw percentage suggests. I wouldn't chase overlapped-speech separation, it's expensive and still flaky. I'd just surface it: flag the low-confidence diarization spans so I know which two or three lines to re-listen to, instead of trusting a transcript that looks clean. The silent winner-pick is the part that bit me, not the noise.
Ellis
@dipankar_sarkar thanks!
Onepane
nice, everyone builds for zoom calls and forgets real meetings exist. curious how it does with a noisy room, that's where my notes always fall apart
Ellis
@ashmil_hussain give it a try and let me know! What type of noisy rooms are you thinking of? public places?
Curious how it handles crosstalk or people talking over each other in a noisy room. Does the speaker identification still hold up, or does it get messy fast?
Ellis
@abdulkadirc80x Give it a try. You can start free.
How well does the speaker identification actually work when people are talking over each other or interrupting? That's usually where these tools fall apart for me.
Ellis
@sedadedemen Interruptions will always be hard in in-person meetings. For virtual it's much easier because they have different audio input.
How well does the speaker identification work in a noisy cafe or group setting with people talking over each other?
Ellis
@aminekorkf8bw give it a try for free.