Could a bot-free AI note taker run locally with current models?

Reddit r/LocalLLaMA / 3/16/2026

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Key Points

The post questions whether a bot-free AI note taker could realistically run mostly locally, avoiding cloud workflows.
It contrasts current cloud-based solutions like Bluedot with the idea of a local pipeline consisting of local transcription, an LLM for summarization, and structured extraction for action items.
It notes that while the pipeline seems straightforward in theory, meetings introduce challenges such as cross talk and context from previous calls that complicate local processing.
It invites feedback from the community on whether anyone has attempted building a local bot-free AI note taker workflow using open models.

I’ve been thinking about whether a bot-free AI note taker could realistically run in a mostly local setup.

Right now I use Bluedot for meetings because it records quietly and generates transcripts and summaries afterward without adding a bot to the call. It works well, but it’s obviously a cloud workflow.

What I’m curious about is how close we are to replicating something similar locally. In theory the pipeline seems straightforward: local transcription, an LLM for summarization, and maybe structured extraction for action items.

But meetings tend to get messy fast. Cross talk, context from previous calls, people changing decisions halfway through. That’s where things seem to break down.

Has anyone here tried building a local bot-free AI note taker workflow with open models?

submitted by /u/Cristiano1
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