Local AI for Meetings: Hedy Can Now Run Entirely on Your Device - Hedy AI
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Julian Pscheid · May 6, 2026<br>Local AI for Meetings: Hedy Can Now Run Entirely on Your Device<br>Hedy 3.2 lets you run the entire AI pipeline on your own device. Summaries, notes, chat replies, and live suggestions all happen locally — nothing reaches a server.
With Hedy 3.2, our entire AI pipeline can now run on your own machine. When you turn it on, meeting transcripts, summaries, detailed notes, chat replies, and live suggestions all happen on the device that captured the audio. Nothing about your conversations goes to a server. Here’s what changes when your meeting AI works that way.
Speech recognition has run on your device since the day Hedy launched. Audio recordings have always stayed on the device too. Your conversations have never been used to train AI models. We’ve been deliberate about privacy from the start.
But there was always one piece we couldn’t bring on-device: the AI work itself. The part that reads your transcript, writes your summary, takes your detailed notes, answers your questions about a meeting, and offers suggestions while you’re in it. That work needed to happen on servers, because the models capable of doing it well were too big to run on a laptop or a phone.
That’s been changing fast. Devices keep getting more powerful. The AI models themselves keep getting smaller and smarter at the same time. A few months ago, those two trends crossed for us. Models that fit on a laptop or a recent iPhone are now strong enough to handle Hedy’s analysis at a quality level that’s useful for real meetings.
Illustrative — the curves show the broad direction, not specific measurements.
So with Hedy 3.2, you can turn on Local AI Processing and run our entire AI pipeline on your own device. Summaries, notes, chat replies, suggestions. All of it happens on your machine.
Why on-device AI matters
For most of the last few years, AI has been something a handful of large companies operate on your behalf. You send your data to their servers, their models process it, and the results come back. That model has obvious advantages, and it’s powered most of what we’ve been able to build. It also has a structural cost: the most useful AI requires the most personal data, and that data lives somewhere other than where it was generated.
Local AI flips that. Your conversation stays where it happened. The work happens on the same device that captured the audio. Nothing about the meeting reaches a server unless you choose to enable Cloud Sync, and even then the AI processing stays local.
If you keep Cloud Sync off, your conversation exists only on the device that recorded it. End to end.
Who benefits from a private, on-device meeting AI
Some Hedy users will turn this on and never think about it again. Others have been waiting for something like this for years. Here’s who we think benefits the most.
Coaches and consultants whose client conversations carry strict confidentiality expectations. They’ve used Hedy for prep and internal calls. Now they can use it during client work without anything leaving the laptop.
Lawyers who use Hedy for internal calls but never for client conversations. Attorney-client privilege has a specific shape, and “we promise to handle your data carefully” doesn’t fit that shape. Data that doesn’t move does.
Patients heading into medical appointments who want a clear recap of what their doctor said, but don’t want their health discussion sitting on a third-party server. With Local AI, the recap can happen on the same phone that recorded the conversation.
Journalists working on sensitive stories who avoid cloud tools entirely. They can record an interview, get a transcript, and chat with the meeting, all without anything reaching a server.
Anyone outside the US who doesn’t want their conversations sitting on US servers. We added EU data residency earlier this year. Local AI takes that one step further: the data doesn’t sit on any company’s servers at all.
Remote workers on bad airplane wifi or in rural areas without coverage. Hedy now works fully offline. Open the laptop on a flight, have a real conversation, get the summary before you land.
The privacy-curious who don’t have a regulated profession or a specific threat model. They just preferred the idea that the thing listening to their meetings wasn’t sending the audio anywhere. They couldn’t have that before. Now they can.
What ties these people together is that Hedy was already useful for them in concept, but the data model didn’t fit their constraints. Local AI removes the constraint.
The honest version
We want to be clear about what this is and isn’t, because we’d rather you go in with realistic expectations than feel let down later.
Local AI Processing is opt-in and...