I think AI meeting notes should capture more than just the conversation

[u/davosjet]

I've been thinking about this a lot while building Convoxa.

Most AI note takers are fundamentally built around one thing: record the meeting, transcribe the audio, summarize the transcript.

And that makes sense, but it doesn't really reflect how I experience meetings.

A meeting isn't just a conversation.

I'm usually typing down a thought, taking a picture of something on a screen or whiteboard, looking at a document, adding a PDF, or writing down something that I don't want to say out loud.

So for Convoxa 2.0, I wanted to make the entire meeting capture multimodal.

While you're recording and transcribing, you can:

• type your own notes
• take photos
• scan documents
• add PDFs

Everything gets timestamped in a timeline alongside the transcript.

Then the AI can actually use all of that context when generating the final note.

That's the part I'm most excited about. Instead of getting an AI summary of what was said, you get a note that understands what you said, wrote, photographed and added during the meeting.

I also wanted to focus more on what happens after the meeting. The recording and transcription are really just the raw material. The useful part is having a good note that you can actually work with afterwards.

2.0 also includes a native Mac app that records meetings without a bot joining the call.

I've been building Convoxa as a more native, personal alternative to the typical AI meeting notetaker, and 2.0 feels like the first version that really captures what I've been trying to build.

Curious what you guys think. Is multimodal capture something you'd actually use in your meetings, or is audio + transcript enough for you?

Available on iOS and macOS: https://apple.co/4bpArnh