Privacy & Open Source
Open Source Doesn't Mean Private: What OpenGranola Gets Right (And What It Misses)
March 2026 · 5 min read
OpenGranola just dropped as a free, open source alternative to Granola for macOS. It does on-device transcription, captures both sides of a call, and keeps audio on your Mac. No cloud processing. No accounts required.
That's a good thing. The more tools that keep meeting audio off someone else's servers, the better. The team behind OpenGranola clearly cares about the problem, and the product solves a real pain point for people who want meeting notes without the privacy trade-off.
But there's a gap in the conversation around open source and privacy that's worth filling in.
Open source means you CAN audit it. Not that you will.
The pitch for open source privacy tools usually goes something like this: the code is public, anyone can read it, so you can verify that nothing shady is happening. That's true in theory. In practice, almost nobody does.
Most people who download an open source app never look at the source code. They don't know how to read it. They don't have time to read it. They trust the project because other people trust the project, which is basically the same trust model as closed source software with extra steps.
This isn't a knock on open source. Open source is a net positive for the software world. Transparency matters. But transparency is not the same thing as privacy. A project can be fully transparent about its architecture and still make design choices that create privacy risks for users who never read the code.
The binary problem
Here's a question most people don't think about: when you download an open source app, are you running the source code on GitHub, or are you running a pre-built binary that someone compiled for you?
Almost always, it's the binary. You download a .dmg or a .zip, drag the app to your Applications folder, and run it. You're trusting that the binary matches the source code. You're trusting the build pipeline. You're trusting that nobody tampered with the release.
To truly verify what an open source app is doing on your machine, you'd need to clone the repo, read the code, build it yourself, and run your own compiled version. Some developers do this. The vast majority of users don't. The barrier is too high.
This doesn't make open source bad. It makes the common claim that "open source = private" more complicated than people assume.
Privacy is architecture, not license type
Real privacy comes from how a product is built, not whether its code is public.
A meeting transcription tool is private when it processes audio on your device and nowhere else. When it discards the audio after transcription instead of storing it. When there's no account to create, no server to send data to, no cloud component that could be breached or subpoenaed.
These are architectural choices. They're decisions made at the design level that constrain what the software can possibly do with your data. An app that never sends data off your machine can't leak that data, regardless of whether the source code is on GitHub.
A closed source app with the right architecture gives you more practical privacy than an open source app with the wrong one. And an open source app with the right architecture is great, but the "open source" part is doing less of the privacy work than people think. The architecture is doing the heavy lifting.
What non-technical users actually need
Most people who want private meeting transcription are not developers. They're consultants, lawyers, therapists, product managers. They want to record a meeting, get a transcript, and know that the content stays on their machine. They don't want to compile anything from source.
For these users, the privacy question boils down to something simple: does this tool send my meeting data anywhere? If the answer is no, the tool is private. If the answer is yes, or "it depends on how you configure it," or "you'd have to check the source code to be sure," that's not good enough.
A polished product that's built from the ground up for privacy gives these users something concrete. Not a promise that they could audit the code if they wanted to. An actual guarantee backed by architecture. Audio processed locally, then deleted. No server component. No account. Nothing to configure, nothing to verify.
Both approaches move the conversation forward
OpenGranola entering the market is a good thing. It validates what we've been saying since day one: people want local meeting transcription that doesn't send their conversations to the cloud. The fact that multiple teams are building toward this proves the demand is real.
The difference is in who the product serves. Open source tools serve developers and technical users who want control over every layer of the stack. Products built for privacy from the start serve everyone, including the people who will never open a terminal.
MeetingVault runs entirely on your Mac. Audio is transcribed using on-device AI, then the audio is discarded. Only the text transcript remains, stored locally. No cloud. No accounts. No data leaves your machine, ever.
If that's what you're looking for, join the waitlist and lock in founding member pricing at $9/month before launch.