Answers

Questions, answered

The questions people actually ask about staying on top of meetings — answered straight, no fluff.

How do I stop worrying about being called on in meetings? Make being called on cheap, and the worry mostly stops by itself. The dread isn't really about the question. It's about being caught without the context to answer it. So you watch every sentence for your name, and that constant vigilance is tiring and, ironically, leaves you absorbing less. Take the context problem off your plate in three ways. Prepare the one or two things you're likely to be asked before the call. Agree simple norms with your team, like saying someone's name before the question. And keep a safety net running so a lapse costs a glance, not a scramble. Canary is one such net: it listens to your computer's system audio (no bot joins the call) and keeps a live rolling summary at several time spans, so if you're called on after drifting you can read what's being discussed right now and answer. If the worry is intense, spreads beyond meetings, or stops you speaking at all, talk to a doctor or therapist. Tools lower the stakes but they don't treat anxiety.
How do I keep up in meetings with auditory processing disorder? Use two aids, because auditory processing disorder causes two different problems in meetings. First, turn on live captions, which are built into Zoom, Teams, Google Meet and Webex, so you can read words you didn't catch. Second, keep a live summary of the call running, so that when captions scroll past faster than you can process them you can still see what the conversation is about. Canary does this. It listens to your computer's system audio (no bot joins the call) and keeps a rolling summary at several time spans, from right now to the whole call. Then cut the load at the source: use headphones, ask people to speak one at a time, and ask for an agenda beforehand and written notes afterward. If you're deaf or hard of hearing rather than having APD, captions or a human captioner are the main tool. A summary adds to them but can't replace them.
Do AI notetakers work in end-to-end encrypted meetings? Mostly no, with one exception that matters. End-to-end encryption means the platform's servers relay the call without being able to decrypt it, so every feature that needs the server to hear the meeting switches off: the built-in AI (Zoom AI Companion, Teams Copilot, Meet's Gemini notes, Webex AI Assistant), cloud recording, and cloud transcription. Meeting bots often can't join, because E2EE modes restrict which kinds of client may connect, and a bot that is admitted gets the keys like any participant and uploads the decrypted call to its vendor. The exception is capture on your own computer. A tool listening to your system audio still works, because the call has to be decrypted for you to hear it. That calls for more care, not less. E2EE is usually switched on because a conversation is sensitive, and a cloud notetaker on your device carries the words outside the boundary everyone in the call was promised. Ask the host first, or use fully on-device transcription.
Can I get AI meeting notes on my phone? Yes, but not the way it works on a computer, and the difference decides which tool you need. A desktop operating system lets an app capture the sound the machine is playing, which is how bot-free notetakers hear a call. Phones deliberately don't: on iOS and Android a third-party app cannot listen to another app's audio. So on a phone there are only two kinds of capture that work — capture that isn't on the phone at all (a notetaker bot joining through the meeting link, or the meeting platform's own AI, both of which are indifferent to what device you're on), and a microphone listening to the air. That splits the question cleanly. If you're taking the call on your phone with earbuds in, a microphone app will record you and silence, so use a bot, the platform's own AI, or your laptop if it's open. If the meeting is happening in the room around you, the phone's microphone is exactly the right tool — that's what Canary's iPhone and iPad app does, showing the same live multi-resolution rolling summary the desktop app does, from what's being said right now to the whole conversation. For remote calls at your desk, the desktop app is still better: it takes the call's audio directly instead of through the air.
What should I say if I get called on in a meeting and I wasn't listening? Ask for the question, not a recap. Say something short and true, like "Sorry, I lost the last bit — can you give me the question again?", then answer it. That costs the room a few seconds, gets you the one thing you actually need, and sounds ordinary, because everyone drifts. Don't bluff an answer to a question you didn't hear, don't blame your connection unless it really dropped, and don't apologise at length. If you were gone for a whole topic, ask for the one-line version rather than a full recap. Better still, set things up so you don't need the line: a live, multi-resolution meeting summary like Canary's shows what's being discussed right now and what was said in the last two minutes, so when your name is called you can glance, confirm the question in your own words, and answer in the space of a normal pause.
Is there a menu-bar app that shows what's being discussed in a meeting right now? Yes. Canary runs from the menu bar on a Mac and the system tray on Windows and Linux. It floats a small always-on-top panel beside your call that summarizes what's being discussed, from about the last 30 seconds to the whole call. Minimized, the panel becomes a one-line bar with a single sentence about what's being said right now. The summary lives in that panel rather than in a menu-bar dropdown, because a dropdown closes the moment you click back into the call. Most other apps that sit in the menu bar around meetings do a different job: calendar apps show your next meeting and a join button, recorders show that they're recording, and live captions show the words rather than the topic. Canary is a real-time, bot-free meeting summarizer. It captures your computer's system audio (no bot in the call, no plugin) 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.
Can AI summarize just the last few minutes of a meeting, not the whole call? Yes, but it takes a different design from the whole-call summaries most notetakers write. A summary of the whole meeting is sorted by what mattered to the meeting, so the two minutes you need when your name is called usually shrink to a clause or drop out. To summarize a recent stretch well, a tool has to summarize that stretch on its own. Two kinds of tool do that during the call. Platform assistants like Zoom AI Companion, Copilot in Teams, and Webex's Catch Me Up recap recent discussion when you ask, where the host's plan and admin allow it. A multi-resolution summarizer keeps standing windows that are always current. Canary is a real-time, bot-free meeting summarizer. It captures your computer's system audio (no bot in the call, no plugin) 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. Its four windows are now (about the last 30 seconds), the last 2 minutes, the last 5 minutes, and the full call, each at three detail levels.
Which meeting assistant works on Zoom, Google Meet, and Teams without a plugin? Two kinds of tool cover all three without a plugin, and they get there in opposite ways. Notetaker bots (Otter, Fireflies, Fathom) work everywhere because they join each call as a guest, so nothing is installed but an extra participant appears and the host can keep it out. System-audio apps work everywhere because they sit beneath the platform: they read the audio your computer is already playing, so Zoom, Meet, and Teams look identical to them and there is nothing in the meeting to approve or block. Each platform's own AI (AI Companion, Gemini, Copilot) is plugin-free too, but it covers only its own platform and belongs to whoever hosts the call. Canary is a real-time, bot-free meeting summarizer. It captures your computer's system audio (no bot in the call, no plugin) 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. One app, the same panel on every platform, on macOS, Windows, and Linux.
Can I get a live summary during a meeting on Windows? Yes, but not from Windows itself, and not from Copilot. Windows 11 ships the words: Live Captions puts a live transcript of any app's audio on screen, processed on the PC. The meaning lives in Teams: intelligent recap arrives after the meeting, and mid-meeting Copilot answers a typed prompt, both gated by the host's tenant and license, and only on Teams. Zoom, Meet, and Webex have the same shape. For a summary that updates while the meeting is happening, in any app, use a real-time summarizer. Canary is a real-time, bot-free meeting summarizer. It captures your computer's system audio (no bot in the call, no plugin) 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. On Windows 10 and 11 it runs from the system tray as a small always-on-top panel beside your call, using the loopback capture built into Windows, with no driver and no permission prompt. It runs on Linux and macOS too.
Can I get a live summary during a meeting on my Mac? Yes, but not from macOS itself. A Mac ships both halves of a live summary separately: Live Captions shows a live transcript of speech from any app, processed on the device, and Apple Intelligence can summarize a Notes recording when you ask, which in practice means after the call. Zoom, Teams, Meet, and Webex add their own AI, but it's on demand and gated by the host's plan and admin. For a summary that updates while the meeting is happening, in any app, use a real-time summarizer. Canary is a real-time, bot-free meeting summarizer. It captures your computer's system audio (no bot in the call, no plugin) 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. On a Mac it runs from the menu bar as a small always-on-top panel beside your call, on macOS 14 or later.
Can I get AI notes in a breakout room? Yes — but only for the room you're in, and only with capture that follows you there. A breakout splits one meeting into several rooms, and every capture method can only be in one of them. Tools that live in the meeting stay where the meeting puts them: cloud recording commonly covers the main room only (Zoom's own documentation says so), the platform's built-in AI is the host's feature, and a notetaker bot (Otter, Fireflies, Fathom) is a single participant that goes wherever the host assigns it — usually not your group. Capture that lives on your own computer moves when you move, because to your machine a breakout room is just different audio playing. That's what Canary does: it captures your computer's system audio (no bot in the call, no plugin) and keeps a live, multi-resolution rolling summary through the main session, into your breakout, and back out — which pays off at the report-back, when your group's ten minutes has to become three sentences. Nothing on your machine hears the rooms you weren't in. And breakouts are often off the record on purpose, so if the facilitator said they aren't captured, that answer covers your tool too.
Does an AI notetaker need access to my calendar? It depends entirely on how the tool captures your meetings, and the reason is worth knowing: calendar access is not how a notetaker hears a call — it's how it decides which calls to show up to. A bot-based notetaker (Otter, Fireflies, Fathom, Read AI, tl;dv) essentially requires it, because the bot has to know which meetings exist and what their join links are before it can dial in; declining the grant usually leaves you inviting the bot by hand, meeting by meeting. Platform-native AI needs no grant at all, because it already lives inside the meeting. Browser extensions ask for page permissions instead. Tools that capture your computer's system audio need nothing: the audio is already playing on your machine, so the only question is when to start listening. What you actually hand over when you do connect a calendar is broader than the meetings the tool will attend — read access covers every event on that calendar, including the ones it will never join, and calendar metadata (who you meet, how often, and what the meeting is called) is unusually revealing precisely because it isn't content. Canary is a real-time, bot-free meeting summarizer: it captures your computer's system audio (no bot in the call, no plugin) 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. Connecting a calendar is optional, read-only, and only used to detect upcoming meetings; capture still happens when you press Start.
Should I use an AI notetaker for 1:1 meetings? Sometimes — and it depends far more on what the 1:1 is for than on which tool you use. Mechanically a 1:1 is an ordinary video call, so every capture method works on it. What changes is that a 1:1 is the only recurring meeting on your calendar that is a conversation rather than a broadcast: two people, no audience, and its value comes almost entirely from things people say because it's private. In a status meeting, capture costs nothing. In a 1:1, the cost is paid by the other person in candor — the report who decides not to say 'I'm struggling' or 'I'm thinking about leaving' doesn't announce that decision, so you will never see the invoice. That makes cross-team, client, and mentoring 1:1s an easy yes, and manager–report career conversations the hardest case in the category. The other trap is structural: 1:1s are recurring events, so a notetaker set to auto-join makes the decision to record once and then repeats it every fortnight, including the week the conversation turns into something nobody wanted recorded. If you do capture, the sensible default is that the person with less power holds the switch. Canary is a real-time, bot-free meeting summarizer: it captures your computer's system audio (no bot in the call, no plugin) 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, and in a 1:1 so you can stop taking notes without having to hold everything in your head.
Do I still need to take notes if I use an AI notetaker? Mostly no, and a little bit yes — because a note does two different jobs and an AI notetaker only takes over one of them. Writing things down produces a record of what was said, and it is also an act of processing that happens while you write. A notetaker does the record job better than you can, since you cannot write and listen at the same time and your own notes were always a lossy summary made by someone half-attending. It does nothing at all about the second job. So stop transcribing — that was never the valuable part — and keep writing a much smaller set of things, all of which share one property: they were never said out loud, so no transcript contains them. Your own commitments, the point you thought of at minute nine and can't raise until minute twelve, what you disagreed with, and what the meeting means for your work. The catch nobody mentions is that note-taking was also the job that kept you in the room, so automating it can leave you drifting more, not less — which is why the replacement matters: a live summary you can glance at holds the thread during the call, while a document delivered afterward removes the scaffold and hands you something you can only read once you no longer need it.
Why do I zone out in meetings? You zone out in meetings because attention follows relevance, and most of any meeting isn't about you. In a typical hour-long call you speak for a few minutes and spend the rest listening to other people's threads, and sustained attention on a stream that rarely concerns you runs down on a schedule — attention research has called that the vigilance decrement since long before video calls existed. Remote meetings make it worse: audio-only and camera-off calls remove the social cues that hold attention, the second monitor offers a stream that is more relevant right now, and back-to-back days spend the attention before the fourth call starts. You won't eliminate it, and trying to is the wrong goal. Reduce the drifting you can — give yourself a job in the meeting, take structural notes by hand, close Slack — and make the drifting you can't cheap to recover from. A lapse costs little; staying lost because you can't find your way back is what costs the meeting. A live, multi-resolution rolling summary like Canary's turns re-entry into a glance, so a two-minute lapse stays a two-minute lapse.
How do I catch up when I join a meeting late? Split it in two, because the halves have different answers. The part you missed happened before you were there, so only something that was already in the meeting can tell you about it: the chat scrollback, a shared notes doc, the platform's transcript pane if someone had already started transcription, or a platform-native catch-up — Google Meet's summary of the discussion so far, Webex's Catch Me Up, a typed question to Zoom AI Companion or Teams Copilot — where the host's plan and settings allow it. Nothing running on your own computer can recover those minutes, because it wasn't hearing the call yet; that includes bot-free tools like Canary. The part after you join is the harder half, and it's the one a live summary is built for: a late joiner is following the live conversation and reconstructing the missed context at the same time, which is exactly when people lose the thread again. A real-time summarizer like Canary keeps a rolling, multi-resolution summary from the moment you connect, so you can rebuild context without dropping the present. The polite version: join muted, read the chat, listen for a minute, and ask one specific question rather than "what did I miss?"
How do AI notetakers know who's speaking? Most of them don't work it out on their own — they separate the voices and get the names from somewhere else. Deciding who spoke is really two problems: separation, which is acoustic (grouping the audio into distinct voices), and identification, which is not (attaching a human name to each voice). Sound alone can establish that two different people spoke; nothing in the sound reveals that one of them is Priya. So every tool needs an outside source of names, and which one it has is decided by where it sits. Tools inside the meeting — a notetaker bot in the participant list, or the platform's own built-in AI — read the participant roster, and often get one clean audio stream per person, so they get both halves almost free. Tools that hear one mixed stream, including anything capturing your computer's system audio, a recorder on a table, or a phone, do the acoustic work themselves and have no roster to read. That is exactly what "Speaker 1" means: the separation worked and the naming had nothing to work from. The fix that works on every tool is the low-tech one — say people's names out loud during the call.
Do AI notetakers train on my meeting data? Usually not in the way people picture it — your meeting is very unlikely to end up in the weights of a general-purpose AI model — but that's the narrowest version of the question, and it's not the one worth asking. 'Training' bundles three different things: training a model on your words, using your content to 'improve the service' (a much broader phrase that can cover evaluation, tuning, and a human reviewing samples), and simply retaining your transcript to operate and debug the product. Most people are protected from the first and would object most to the second and third, which is exactly where policy language is vaguest. The bigger structural point: no notetaker runs its own speech and language models end to end, so the answer depends as much on the providers it calls as on the vendor itself — which is why a named subprocessor list is the single most informative thing on a privacy page. And the same vendor often answers differently depending on which door you came in, since consumer free tiers and business or API tiers are commonly governed by different terms. Check three things: the subprocessor list, the retention period, and whether an 'improve our AI' setting is on by default.
Does Fireflies show a summary during the meeting? No — Fireflies generates its summary, notes, and action items after the meeting ends, not during it. While the call is happening, the Fireflies bot sits in the participant list recording, and depending on your plan and setup you may be able to open a live transcript view — but a transcript is the full word-for-word text, not a condensed summary you can glance at. If what you want is a summary that updates while the meeting is still going, you need a real-time tool: Canary shows a live, multi-resolution rolling summary during the call, with no bot in the meeting.
Does Fathom show a summary during the meeting? No — Fathom's notetaker records the call while it's happening, and during the meeting you can click to highlight moments, but the summary itself is generated after the call ends. Fathom is known for delivering that recap unusually fast — often moments after you hang up — but fast-after is still after: while the meeting is live, there's nothing condensed to glance at when you've drifted and your name gets called. If you want a summary you can read during the call, a real-time tool like Canary shows a live, multi-resolution rolling summary that updates while people are still talking.
Can I get meeting notes without recording the call? Yes. An AI notetaker has to hear the call while it happens, but it doesn't have to keep a recording of it — notes and a recording are different artifacts. 'Recording' bundles two acts under one word: capturing the audio and keeping it. Every notetaker does the first; the second is a design choice, and the category splits it every way — most bot-based tools store a full audio or video recording alongside the transcript, the platforms ship recording and live transcription as two separate features, and a system-audio tool like Canary processes audio in short chunks, discards it, and stores only the text transcript and rolling summaries. So you can get real meeting notes while no replayable recording of the call exists anywhere. Two caveats keep the answer honest: consent and disclosure attach to the capture, not to the file format — 'we're only transcribing' is not a loophole, so tell people either way — and if a recording ban is what prompted the question, check whether the policy means 'no stored file' or 'no capture at all' before treating notes as allowed.
Can an AI notetaker hear my meeting if I wear headphones? Yes — headphones make no difference to any capture method the category actually uses, because none of them listen to your room. A notetaker bot (Otter, Fireflies, Fathom) sits inside the meeting itself as a participant; platform-native AI (Zoom AI Companion, Teams, Meet) runs inside the platform's own pipeline; a caption-scraping extension reads text the platform renders; and a system-audio tool like Canary reads the digital stream your operating system is sending to your output device before it ever becomes sound — speakers, a USB headset, AirPods, it's the same stream either way. Canary captures that stream (no bot in the call, no plugin) and shows a live, multi-resolution rolling summary while the call is going. The one method headphones genuinely break is a microphone in the room — a phone on the desk, Voice Memos, a hardware recorder — because with headphones on, the other side of the call never enters the room: you get a recording of your own voice and silence where the answers were. The folklore that 'headphones break recording' has a real root, but it's about legacy plumbing: Stereo Mix and hand-routed virtual audio cables really do fail when you switch to a headset. OS-level capture follows your output wherever it goes.
Can I use an AI notetaker for job interviews? Technically, yes — a job interview is an ordinary video call, so every capture method in the category works exactly as it does anywhere else. The mechanics are the easy part. What changes is everything around them. Consent isn't symmetric: a candidate who wants the job is in a poor position to object, so agreement given under that pressure isn't the same as agreement between colleagues, and the disclosure bar should be higher rather than lower. The output isn't personal notes either — it becomes part of a hiring record that other people read and act on, which is why a summary of what was said must never be turned into an assessment of the candidate. And the biggest practical cost is that typing notes during an interview takes your attention off the one person you're supposed to be evaluating. Canary is a real-time, bot-free meeting summarizer: it captures your computer's system audio (no bot in the call, no plugin) 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, and in an interview so you can ask the follow-up question that refers to something said twenty minutes ago. If you need scorecards attached to the candidate's record and governed retention, your applicant tracking system is the right tool, not a notetaker.
Can I get AI notes for an in-person meeting? Yes, but not from anything in the AI-notetaker category. Every tool in that category captures a meeting that exists as software — a notetaker bot needs a meeting link to join, the platform's own AI needs a platform, a caption-scraping extension needs captions, and system-audio capture needs something playing through your computer. A conversation in a room is none of those: it exists only as sound in the air, so the only thing that can capture it is a microphone in that room. In practice that means a dedicated recorder (Plaud, a Limitless pendant), a phone app, or a laptop's built-in mic as a weak fallback. Hybrid meetings are the different case, and the more common one: the moment anyone dials in, the meeting is back on a computer, and if you're the person dialing in, the room arrives as ordinary system audio — which is exactly what Canary reads. Canary shows a live, multi-resolution rolling summary during the call, with no bot and no plugin, on macOS, Windows, and Linux. For a room with no call attached, it's the wrong tool and a recorder is the right one.
Can I get AI notes for a webinar? Yes — but mostly not with the tools built for meetings. Notetaker bots (Otter, Fireflies, Fathom, Read AI, tl;dv) attend a call as a participant, and a webinar rarely gives attendees a seat a bot can take: entry usually sits behind a registration form, attendees are view-only, and the calendar 'link' often points at a landing page rather than a joinable call. The hosting platform's own AI belongs to the host, not to you — as an attendee you can't switch it on. What does work is capturing the audio your computer is playing, which is what Canary does: to system-audio capture a webinar is just sound, like any other call, so it shows a live, multi-resolution rolling summary while the webinar runs — on any webinar platform, and on recorded trainings and replays too, since playback is also system audio. It runs on macOS, Windows, and Linux. One honest limit: audio capture hears the narration, not the slides, so a number that only ever appears on screen isn't in your notes.
Do AI meeting notes work in other languages? Usually yes for transcription in widely spoken languages, and less reliably for everything that comes after. 'Supports 100+ languages' is almost always a claim about one stage of a four-stage pipeline — the speech-to-text step — and it describes the languages a tool will attempt, not the ones it handles equally well. Speaker attribution travels across languages fairly well, because it works from voice characteristics rather than words. Summarization is a separate model with its own, usually narrower, set of languages it is genuinely fluent in, and getting notes in a different language from the one spoken is a third thing again: translation, with its own error rate stacked on top of the transcript's. The case that breaks most tools is not a meeting in another language but a meeting in two, because pipelines generally expect one language per call and mid-call switching tends to produce confident, plausible-looking errors rather than obvious garbage. Canary is English-first, so if the meeting itself is conducted in another language a transcription-first tool such as Notta or Sembly is the better pick. Where a live summary earns its place is the other multilingual case nobody builds for: the English-language call you are attending in your second language.
Do AI meeting notes capture screen shares, video, and chat? Usually not in the notes themselves. Almost every AI meeting summary is written from the transcript, which means it is built from what people said, not from what was on screen — so the answer depends on what you mean by 'capture'. Tools that record video (a notetaker bot with recording on, or the platform's own cloud recording) do store the screen share, so you can rewatch it later; the written summary is still generated from the words. Meeting chat is a separate stream again: platform-native recaps often keep it, some third-party notetakers pull it in, and tools that only hear audio never see it. A tool that captures your computer's system audio, like Canary, gets the spoken layer only — no slides, no faces, no chat. That is a real limitation for demos and design reviews, where the screen is the content, and much less of one for the ordinary case, because the slide is usually still on your screen while the sentence you missed is already gone.
Who can see my AI meeting notes? Whoever controls the account the notes were captured on — which is usually not the same as who was in the meeting. That one fact answers most versions of this question. If the call was summarized by the platform's own AI (Zoom AI Companion, Teams recap, Google Meet notes, Webex), the record sits in the hosting organization's account, is commonly available to attendees and sometimes shared automatically, and is reachable by that organization's administrators under whatever retention policy already applies. If a colleague's notetaker bot was in the call, the transcript is in their vendor account: you generally can't see it, and you can't delete it either — only they can. If your company provisioned the tool for you, expect a workspace, an admin console, and access that outlives your employment. If you pay for the tool yourself and it runs on your own machine, the notes are yours, though the vendor's transcription and summarization pipeline still processes them. One thing no tool changes: your own private notes don't make the meeting private, because anyone else on the call may be capturing it too.
Can I get AI notes for a phone call? It depends entirely on where the call's audio is playing, and that splits the question in two. If the call runs through your computer — Microsoft Teams calling, Zoom Phone, a Slack or Discord call, WhatsApp on the desktop, a browser-based dialer in your CRM — then it is just audio your machine is playing, and a system-audio tool can transcribe and summarize it the same way it handles a video call. That is what Canary does, and it shows a live, multi-resolution rolling summary while the call is still going, on macOS, Windows, and Linux. If the call is on your actual handset, nothing running on your computer can hear it: you need built-in call recording where your device and region offer it, a dedicated recorder like Plaud, or a wearable like Limitless. What almost never works for either case is a notetaker bot — Otter, Fireflies, Fathom, Read AI, tl;dv and the rest join through a Zoom, Meet, Teams, or Webex meeting link, and a phone call has no link and no calendar event for them to find. Phone calls are also the strictest corner of recording law, so say it out loud in the first ten seconds either way.
Can an AI notetaker attend a meeting for me? Yes, two kinds can. A bot-based notetaker joins the call through the meeting link, so it attends whether or not you do — connect it to your calendar and tools like Otter, Fireflies, Read AI, tl;dv, or Circleback will send their bot to a meeting you skip and deliver a transcript, summary, and action items afterward. Platform-native AI (Zoom, Teams, Google Meet, Webex) can do the same from inside the platform, where the host's plan and admin settings allow it and someone turns it on. What can't attend for you is anything that runs on your own computer: caption extensions and bot-free system-audio tools — Canary included — capture the call your machine is playing, so if you're not on the call there's nothing to capture. Two caveats before you send one: what attends is a recorder, not a representative — it can't answer when your name comes up — and an unaccompanied bot is the first thing hosts eject, so tell the organizer first. And for the much larger set of meetings you can't fully skip — needed for ten minutes, not sixty — a proxy doesn't work at all; that's the case a live rolling summary is built for.
Is there a free AI meeting notetaker? Yes, several — but "free" means four different things in this category, and picking the wrong one wastes a month. (1) Already paid for: if your company has a paid Zoom, Teams, Google Workspace, or Webex plan, some AI meeting features are usually included at no extra cost — the cheapest option, but it only works on that platform, and on a call another company hosts you don't control whether it's on. (2) Free tiers of commercial notetakers: genuinely usable, and Fathom's is among the most generous, but they're metered — typically by meetings or minutes per month, with history and AI features capped before raw transcription is. (3) Free trials: not free, just deferred. (4) Open-source models like Whisper run on your own machine: free of charge and the only option where nothing leaves your computer, but it costs setup time and a decent machine, and what you get is a transcript, not a summary. Canary's free tier is 5 meetings a month with the full live, bot-free rolling summary on macOS, Windows, and Linux; Pro is $15/month for unlimited. The honest rule: no notetaker is costless — you pay in metered meetings, in your meeting data, or in your own time.
Can I get a live summary during a Webex meeting? Almost — Webex comes closer than any other major platform, but for a truly live summary the answer is still no. What Webex keeps on screen continuously is captions and a running transcript: raw text, not a summary. Its AI Assistant's "Catch Me Up" can summarize what you missed while the meeting is still running — the best native in-meeting catch-up any platform ships — but it's a one-shot recap you have to request, and it only exists when the host's paid plan and their organization's admin settings allow it, which your own subscription can't change on a call another company hosts. A real-time summarizer like Canary takes a different route: it captures your computer's system audio — no bot in the participant list, no plugin, nothing for a host or admin to enable — and keeps a live, multi-resolution rolling summary on screen, from what's being said right now to the whole call, in any Webex meeting, on macOS, Windows, and Linux.
Does Granola show a summary during the meeting? No — Granola captures your meeting's audio while the call is happening, but its AI-enhanced notes are generated after the meeting ends, not during it. While the call is live, what you have is your own notepad and the raw transcript Granola is building in the background; the polished summary arrives once you stop. If what you want is a continuously updating summary you can glance at mid-meeting, a real-time tool like Canary fills that gap with a live, multi-resolution rolling summary that updates while people are still talking.
Can I get a live summary during a Google Meet call? Yes — but not continuously from Google Meet itself. What Meet puts on screen live is a transcript: captions, which are free and available on nearly every account. Google's summaries come from Gemini in Meet ("Take notes for me"), which delivers a notes document afterward and, where it's available, can give someone who joined late a summary of the discussion so far — the closest native catch-up in the category, but one you have to ask for, on a paid Workspace plan with Gemini, started from the meeting organizer's side. A real-time summarizer like Canary takes a different route: it captures your computer's system audio locally — no bot in the participant list, no plugin, nothing the host has to enable — and keeps a live, multi-resolution rolling summary on screen, from what's being said right now to the whole call, in any Meet call including ones another company hosts, on macOS, Windows, and Linux.
Can I get a live summary during a Teams call? Yes — but not from Teams itself. What Microsoft Teams shows live is a transcript: captions and a word-for-word record, when transcription is available and turned on. Its actual summaries arrive two other ways, both gated — intelligent recap after the meeting ends, behind Teams Premium or a Copilot license, and Copilot's mid-meeting answers, which need a Copilot license, admin enablement, transcription running, and a typed prompt every time you want to catch up. A real-time summarizer like Canary takes a different route: it captures your computer's system audio locally — no bot in the participant list, no plugin, nothing the host has to enable — and shows a live, multi-resolution rolling summary, from what's being said right now to the whole call, in any Teams meeting, including ones another company hosts, on macOS, Windows, and Linux.
Can I get AI notes for a Slack huddle? Yes, but almost none of the usual tools work. Notetaker bots — Otter, Fireflies, Fathom, Read AI, tl;dv, Circleback — join meetings as a guest through a Zoom, Google Meet, Microsoft Teams, or Webex link, and Slack doesn't hand out huddle audio that way, so there is no bot to invite. Huddles also break the other half of how those tools operate: they usually start because someone clicked the headphones icon in a channel, with no calendar event for a bot to watch. That leaves two things that actually work. Slack's own AI can produce huddle notes and a transcript in the huddle thread where Slack AI is available on your plan and enabled by your admin. Or you capture your computer's system audio, which is what Canary does — it reads the sound your machine is already playing, so a huddle is just audio like any other call, and it shows a live, multi-resolution rolling summary while the huddle is still going, on macOS, Windows, and Linux.
How do I record system audio on Windows without a virtual audio device? To record your PC's system audio without a virtual audio device, use a tool that opens a WASAPI loopback stream — a mode built into Windows that reads the audio your PC is already sending to your speakers, with nothing installed and nothing rerouted. Virtual cables like VB-Cable and Voicemeeter still work, but they install a driver, take over your output, and have to be re-routed by hand; the legacy "Stereo Mix" device is driver-dependent and missing on most modern machines. Canary uses WASAPI loopback for meetings: it captures the call audio on-device — no virtual device, no bot, no plugin — and turns it into a live, rolling summary you can read during the call.
How accurate are AI meeting notes? Accurate enough to rely on for recall, not accurate enough to quote from without checking. There are really two accuracies and they fail differently. Transcription — turning speech into words — is strong on clear audio and degrades predictably with crosstalk, poor microphones, heavy accents, and unfamiliar jargon or proper nouns. Summarization — turning those words into notes — fails less predictably, because a fluent summary can drop a decision, compress away a caveat, attach an action item to the wrong person, or state something with more confidence than anyone in the room actually had. Speaker labels are the weakest link in most tools. The working rule: trust AI meeting notes for what was discussed and roughly who owns what, and verify anything you would quote, commit to, or forward. Notes that appear during the call, like Canary's live rolling summary, are easier to verify for one reason only — the meeting is still happening, so a wrong line can be corrected while it still costs nothing.
Can I use an AI notetaker if I'm not the meeting host? Yes, but which tools work changes completely — because the host controls the meeting platform and you don't. The platform's own AI (Zoom AI Companion, Teams Copilot recap, Google Meet's note-taking) is normally the host's or their admin's to switch on, and in a call hosted by another company you often can't reach the setting at all. Recording is gated the same way. A notetaker bot has to be admitted through the waiting room or lobby, so the host can simply refuse it — and many now do. What is not host-gated is software running on your own computer: a tool that captures your machine's system audio, like Canary, behaves identically whether you host the call or were invited to it, and shows a live rolling summary while the meeting is still going. Being technically able isn't the same as being allowed, though — say you're taking AI notes, and if the host has declined recording, that answer stands.
How do I stop AI notetakers from joining my meetings? Notetaker bots get in the same way any uninvited guest does — they sign into your meeting link as a participant — so the controls that gate guests are the controls that stop them. Turn on the waiting room or lobby so nothing joins without approval (Zoom's Waiting Room, Teams' lobby set to 'People in my organization', Google Meet's host management with Quick Access off), remove any bot already in the call from the participant list, and lock the meeting once everyone has arrived. That handles the symptom. The cause is almost always one attendee whose notetaker is set to auto-join every event on their calendar, so the durable fix is to ask that person to turn auto-join off, or to agree as a team on a single notetaker and one person who runs it. If what you object to is specifically the extra participant and the second copy of the conversation rather than note-taking itself, bot-free notetakers capture your own computer's audio instead and never appear in the participant list at all.
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.
Can I use an AI notetaker if my company blocks meeting bots? Usually yes — because what your company blocked is almost certainly the bot, not note-taking. Bot bans are enforced inside the meeting platform: admins disable third-party marketplace apps, restrict who can join as a guest, or refuse calendar access to notetaker vendors. A tool that captures your own computer's system audio never touches any of that — nothing joins the call and nothing is added to your Zoom, Teams, or Meet account. Canary works this way, showing a live rolling summary during the call with no bot in the participant list. That said, 'not blocked' isn't 'approved': your device-software policy and your recording/confidentiality policy still apply, so check with IT and tell participants you're capturing notes.
How do AI meeting notetakers work? Every AI meeting notetaker runs the same four-stage pipeline: capture the audio, transcribe it to text with speech recognition, label who said what (speaker diarization), then feed the transcript to a language model that writes the summary and pulls out action items. The real differences between tools are in stage one and stage four. Stage one is how the audio is captured — a bot that joins the call as a participant, a platform's built-in recording, a browser extension reading live captions, or direct capture of your computer's own system audio. Stage four is when the summary is written — after the meeting ends for most tools, or continuously during the call for real-time summarizers like Canary.
Why did a bot join my meeting? A bot that joins your call — usually labeled something like 'Otter.ai', 'Fireflies Notetaker', 'Read.ai', or 'Fathom' — is an AI notetaker that one of the participants connected to their calendar. It auto-joined to record and transcribe the meeting so it can generate a summary and action items afterward. It isn't a Zoom feature, a hacker, or a stranger: it's a third-party assistant an attendee is using. You can ask whose it is, and anyone can decline it or ask it to leave. Bot-free tools like Canary do the same job by reading your computer's own audio locally, so nothing extra shows up in the participant list.
Are AI meeting notetakers safe? Yes — most AI meeting notetakers are safe to use, but how safe depends on three things you can check. First, whether a bot joins your call: a recording bot is a separate account in the meeting that can see and store the whole conversation. Second, what happens to your audio: the safest tools discard it right after transcription instead of keeping a recording. Third, who processes and stores your transcript, and whether your data trains anyone's models. Look for a tool that captures only when you start it (not always-on), doesn't persist raw audio, encrypts notes at rest, names its subprocessors, and lets you delete your data. Canary is built this way: no bot joins the call, raw audio is never written to disk, summaries are encrypted at rest, and capture runs only when you press Start.
How do I tell participants I'm using an AI notetaker? Tell participants before the meeting starts, and keep it to one plain sentence — 'Heads up, I'm using an AI tool to take notes.' Say it out loud at the top of the call, or add a line to the calendar invite so no one is surprised. This matters even with a bot-free tool like Canary that captures your computer's system audio with no bot in the call: because nothing announces itself, the disclosure is on you. A short, upfront heads-up keeps you on the right side of both meeting etiquette and recording-consent rules, which vary by region.
What's the difference between a live transcript and a live summary? A live transcript is a word-for-word stream of everything being said, updating as people speak — accurate, but a lot to read. A live summary distills that same conversation into the meaning that matters, updating every few seconds so you can grasp the situation at a glance instead of reading a wall of text. Both happen during the meeting; the difference is words vs. meaning. Tools like Tactiq show a live transcript, while Canary shows a live, multi-resolution summary.
Can I get meeting notes without a Zoom plugin? Yes. You don't need a Zoom plugin, marketplace app, or meeting bot to get notes from a Zoom call. Tools that capture your computer's system audio work entirely outside Zoom — there's nothing to add to your Zoom account, no app to approve, and no bot that joins as a participant. Canary takes this approach: it listens to your system audio locally and shows a live, multi-resolution rolling summary during the call, so you get notes without ever touching Zoom's plugin marketplace.
How do I record system audio on a Mac without a virtual audio device? To record your Mac's system audio without a virtual audio device, use a tool that taps macOS's built-in system-audio capture instead of routing sound through BlackHole, Soundflower, or Loopback. Canary does this for meetings: it reads the audio your Mac is already playing on-device — no virtual device, no bot, no plugin — and turns it into a live, rolling summary. The older virtual-device method still works, but it adds setup, can take over your speaker output, and tends to break on macOS updates.
Is it legal to record a meeting? In most places it is legal to record a meeting you're part of, but the consent rule varies by region: some jurisdictions need only one participant's consent (you), while others require everyone on the call to agree. About a dozen U.S. states — including California, Florida, Pennsylvania, and Washington — are 'all-party' consent states, and the EU's GDPR treats meeting audio as personal data, so disclosure is expected. The safe, simple rule everywhere is to tell participants before you capture anything. This is general information, not legal advice.
What's the best meeting notes app for ADHD? For ADHD, the best meeting notes app is one that shows a live, glanceable summary during the call rather than only a recap afterward — so when your attention drifts and you lose the thread, you can glance over and instantly reorient. Canary is built this way: it keeps a real-time, multi-resolution summary (now, last 2 minutes, last 5 minutes, full call) that offloads the working-memory load of holding the whole conversation in your head. Most notetakers only summarize after the meeting, which doesn't help in the moment a thread slips.
Can I get a live summary during a Zoom call? Yes — you can get a live summary during a Zoom call by using a real-time meeting summarizer like Canary, which captures the call's system audio locally and shows a continuously updating summary while the meeting is happening. This is different from most AI notetakers, which only produce a summary after the call ends. Because Canary doesn't join as a bot, it works the same on Zoom, Google Meet, or Teams.
Does Otter show a summary during the meeting? No — Otter shows a live transcript while a meeting is happening, but its actual summary is generated after the call ends, not during it. So if what you want is a continuously updating summary you can glance at mid-meeting, Otter's live view gives you a running transcript rather than a condensed summary. A real-time summarizer like Canary fills that gap by showing a live, multi-resolution rolling summary while the meeting is still going.
How do I catch up after stepping away from a call? To catch up after stepping away from a call, use a real-time meeting summarizer like Canary that has been keeping a live, rolling summary of the conversation. When you return, read its 'last few minutes' view to see what happened while you were gone — in a couple of seconds and without asking anyone to repeat themselves. Tools that only summarize after the meeting can't help here, because their summary doesn't exist until the call is over.
How do I take meeting notes without a bot joining the call? To take AI meeting notes without a bot, use a tool like Canary that captures your computer's system audio locally instead of joining the meeting as a participant. Because it listens to the audio your computer is already playing, nothing shows up in the participant list, there's no plugin or virtual audio device to install, and it works the same on Zoom, Google Meet, or Teams. Bot-based notetakers, by contrast, dial into the call and appear to everyone.
Real-time vs after-the-meeting AI notes — which do I need? Choose real-time AI notes if your problem is staying on top of the conversation while it's happening — being able to answer when you're called on or catch up after stepping away. Choose after-the-meeting AI notes if your problem is remembering decisions and sharing recaps afterward. They solve different problems, and only real-time notes (like Canary's live rolling summary) can help you while you're still in the meeting. Many people benefit from both.
What did I miss in the meeting? To find out what you missed without asking people to repeat themselves, use a real-time meeting summarizer like Canary that keeps a live, rolling summary of the call. When your name is called, glance at the 'last 2 minutes' view to see what was just discussed, then respond. Tools that only summarize after the meeting can't help you in the moment.