Is there an AI meeting notetaker for Linux?
Yes, but the honest answer depends on which kind of tool you mean. Bot-based notetakers (Otter, Fireflies, Fathom, Read AI) already work from Linux, because the bot runs on the vendor's servers and joins the call itself — your operating system is irrelevant, and so is your audio stack. Caption-scraping browser extensions like Tactiq also run on Linux, since Chrome does. The gap is desktop, bot-free notetakers: the well-known ones — Granola, Jamie, Krisp — publish macOS and Windows builds only. Canary is the exception: it runs on macOS, Windows, and Linux, capturing your computer's system audio through a PulseAudio/PipeWire monitor source and showing a live, multi-resolution rolling summary during the call, with no bot in the meeting.
Last updated July 31, 2026
Yes — but “works on Linux” means two very different things in this category, and the difference is the whole answer. Bot-based notetakers already work from Linux because nothing runs on your machine. Bot-free desktop notetakers are where Linux support mostly disappears.
Three kinds of tool, three different answers
1. Bot-based tools — already work, because your OS isn’t involved. Otter, Fireflies, Fathom, Read AI, tl;dv, Circleback and most of the category work by sending a bot into the meeting from the vendor’s servers. You interact with a web app. Nothing is capturing audio on your laptop, so there’s nothing to port — these behave identically on Ubuntu, Fedora, or Arch as they do on macOS. If a bot in the participant list is fine with you, this is the easy path and you’re done.
2. Browser-extension tools — work, with the extension’s limits. Tactiq reads the meeting platform’s own live captions from inside a Chrome tab. Chrome runs on Linux, so Tactiq does too. The constraint isn’t your OS, it’s the design: it only reaches meetings that run in a supported browser tab and expose captions, and what you get live is a transcript rather than a summary (Canary vs Tactiq covers that distinction in full).
3. Bot-free desktop tools — this is the actual gap. A tool that takes notes without a bot has to run natively on your machine and capture the audio your computer is already playing. That requires a real client for each platform, and the well-known bot-free apps — Granola, Jamie, Krisp — ship macOS and Windows builds. Canary ships a Linux build alongside them.
| Approach | Example tools | Runs on Linux? | Why |
|---|---|---|---|
| Cloud bot + web app | Otter, Fireflies, Fathom, Read AI, tl;dv | Yes | Nothing runs locally; the bot joins from the vendor’s cloud |
| Browser extension | Tactiq | Yes | Chrome runs on Linux; reads captions in the tab |
| Bot-free desktop app | Granola, Jamie, Krisp | No — macOS/Windows builds | Needs a native client per platform |
| Bot-free desktop app | Canary | Yes | Captures system audio via a PulseAudio/PipeWire monitor source |
Platform support is something vendors change, so check the current download page before you commit — this reflects what these tools publish as of this page’s date.
Why the native-client tools skip Linux
It’s not arbitrary. System-audio capture has no cross-platform API. Each operating system exposes it differently:
- macOS — a CoreAudio process tap.
- Windows — WASAPI loopback.
- Linux — a PulseAudio or PipeWire monitor source.
Three separate implementations, each with its own permissions model and device-enumeration quirks, all to produce the same stream of audio. Loopback audio capture explains the mechanism in general. For a vendor deciding where engineering time goes, the macOS build covers most of the design-and-product market, Windows covers most of enterprise, and desktop Linux is the one that gets cut — even though it’s disproportionately the operating system of the engineers who sit in the most calls.
What about Zoom, Meet, and Teams’ own AI?
Those features run on the platform’s servers, not on your computer, so whether you get them is mostly a question of your plan and your admin’s settings rather than your OS — Zoom AI Companion, Google Meet’s Gemini notes, and Teams’ recap are all gated that way. Your Linux experience does depend on how good that platform’s Linux client (or its web app) is, which varies a lot by vendor. Either way, these only cover meetings held on that one platform, and each hands you a recap after the call. How AI meeting notetakers work lays out how the native-platform option compares to the other approaches.
What Canary does on Linux
Canary is a real-time, bot-free meeting summarizer. It captures your computer’s system audio (no bot in the call, no plugin, no virtual audio device) and shows a live, multi-resolution rolling summary — from what’s being said right now to the whole call — so you can catch up the instant your name is called. It runs on macOS, Windows, and Linux, and the Linux build works the same way as the others: it reads a monitor source of whatever your machine is playing, so it doesn’t care whether the call is Zoom, Meet, Teams, a Slack huddle in a browser tab, or a Discord call.
That platform-independence matters more on Linux than elsewhere, because Linux users are the most likely to be on the meeting platform someone else chose. A bot-free tool that listens to your speakers has nothing to integrate with and nothing to be blocked by — see how to take meeting notes without a bot for the method, and Canary vs Granola for how the live summary differs from a post-call notepad.
One honest setup note: Linux audio configurations vary more than macOS or Windows. If you run several output devices, a virtual mixer, or an unusual PipeWire setup, you may need to point the capture at the correct monitor source once. After that it’s the same as anywhere else.
Tell people either way
Running on Linux with no bot in the participant list means the meeting looks completely normal — which is exactly why it’s worth saying you’re taking AI notes at the top of the call. Being unobtrusive isn’t the same as being secret, and recording-consent rules vary by region: some places require only one participant’s consent, others everyone’s. Skipping the bot changes how the audio reaches the notetaker, never whether you’re open about using one.
Frequently asked questions
Why do so few AI notetakers support Linux?
Because the two tool designs pull in opposite directions. Bot-based tools don't need a desktop client at all — the bot joins from the cloud — so there's nothing to port and no reason to think about Linux. Bot-free tools do need a native client, and that client has to capture system audio through a per-platform API: a CoreAudio process tap on macOS, WASAPI loopback on Windows, a PulseAudio or PipeWire monitor source on Linux. Each one is separate work, and desktop Linux is the smallest share of the seats most of these vendors are selling to, so it's usually the build that never gets made.
Can I just use Otter or Fireflies on Linux?
Yes, and if you're comfortable with a bot in your calls that's the simplest path — those tools are web apps plus a cloud bot, so they behave the same on Ubuntu as on a Mac. What you give up is what the bot costs you everywhere: a visible extra participant in the meeting, calendar access granted to the vendor, and a summary that arrives after the call rather than during it. Nothing about that changes on Linux; it's the same trade you'd be making on any OS.
Does system-audio capture work the same on Linux as on macOS and Windows?
The mechanism is equivalent — you read the audio your machine is already playing rather than joining the meeting — but the underlying API differs per platform, and Linux has more variation in what's underneath. PulseAudio and PipeWire both expose monitor sources that mirror an output device, so a notetaker can read your call the same way it does elsewhere. In practice the one setup step that's more likely to need attention on Linux is picking the right monitor source if you have several output devices or a non-standard audio configuration.