Anyone here using a local setup for AI meeting notes?

Reddit r/LocalLLaMA / 4/15/2026

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Key Points

The post asks the community whether anyone uses a fully local setup for AI-generated meeting notes, highlighting the desire to keep the workflow off-cloud while retaining useful outputs.
The author currently uses Bluedot, which records meetings without a bot joining and provides transcripts, summaries, and action items that are searchable for quick reference.
They want a local alternative that can perform recording, transcription, and summarization, but are uncertain how reliably local models handle long and messy conversations.
The key question is which local transcription and summarization models people are using and whether the approach is reliable enough to replace cloud tools.
Overall, the thread focuses on practical reliability and model selection for local LLM/ASR-based meeting documentation rather than announcing any new product or method.

I’ve been trying to move more of my workflow local, and AI meeting notes are the one thing I haven’t fully figured out yet.

Right now I’m using Bluedot because it’s simple, it records meetings without a bot joining, and I get a transcript, summary, and action items after. The searchable transcript is also really useful when I need to go back and check something quickly.

Ideally, I’d like a local AI meeting notes setup that can do something similar. In theory it’s just recording + transcription + summarization, but I’m not sure how well local models handle longer, messy conversations.

Are you running a local AI note taking setup for meetings? What models are you using for transcription and summaries? Is it reliable enough to replace cloud tools yet?

submitted by /u/hulk14
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