Do AI meeting notes capture screen shares, video, and chat?

Usually not — and the reason is the single most useful thing to know about this whole category: an AI meeting summary is written from the transcript. Whatever else a tool records, the notes are assembled from what people said out loud. Slides, shared spreadsheets, whiteboards, faces, and the chat panel are separate streams, and most of them never reach the summary at all.

That splits the question in two, which is why people get contradictory answers to it. “Does it capture my screen share?” can mean is the screen share stored somewhere I can go back to, and for video-recording tools the answer is yes. Or it can mean does what was on screen end up in my notes, and there the answer is almost always no.

What each capture method actually gets

The four ways tools capture a meeting — covered in full in how AI meeting notetakers work — give four different answers here, because they tap the meeting at four different points.

Capture method	Screen share	Video of participants	Meeting chat	Reaches the written summary
Notetaker bot (Otter, Fireflies, Fathom, tl;dv, Grain)	Yes, if video recording is on	Yes, if video recording is on	Often, via the platform integration	The transcript; video is stored to rewatch
Platform-native AI (Zoom, Teams, Meet, Webex)	Yes, in the cloud recording	Yes, in the cloud recording	Commonly, chat is right there	The transcript, plus chat on some platforms
Caption-scraping extension (Tactiq and similar)	No — it reads caption text	No	No, the caption stream only	The caption text
System audio capture (Canary, Granola)	No — audio only	No	No	The spoken audio only

Two things fall out of the table. The methods that live inside the meeting have far richer raw material available to them, which is the same architectural fact that makes platform-native AI the strongest option when you host everything on one platform. And no method in the list routinely reads the screen the way it reads speech. Some vendors have started adding slide capture or periodic screenshots; treat that as a feature to verify on the specific tool you are using, not as something the category does by default.

Recording it and understanding it are different things

This is the distinction that trips people up, and it is worth stating flatly. A meeting bot with recording enabled produces a video file in which your screen share is perfectly visible. It does not follow that the notes know anything about it.

The pipeline is: capture audio, transcribe it, attribute it to speakers, summarize the text. The video sits alongside that as an artifact you can open. So if a colleague shares a dashboard and says “as you can see, we’re behind on the Q3 number”, the transcript records that sentence, and the summary may well say the team is behind on Q3 — because it was said. If they share the same dashboard and say nothing, the notes are silent, no matter how clearly the figure was on screen for eleven minutes.

The practical consequence, and the one to actually change your behaviour over: things that were only shown, never said, do not make it into the notes. If a number matters, say it out loud. That single habit does more for the quality of your meeting record than any tool choice, and it helps every human in the call too, including the ones dialled in on a phone.

The same asymmetry explains a common complaint about demo and review transcripts. Spoken language in front of a screen is dense with pointing words — here, this one, that column, the one on the left — which carry their meaning from the shared display. Strip the display and you get grammatically fine sentences that mean nothing. This is not a failure of a particular vendor; it affects every transcript-based summary equally, which is one more thing to hold in mind alongside the other ways AI meeting notes get things wrong.

The three layers of a meeting have very different replay costs

Here is the reframe that makes the whole question less alarming than it first sounds. A meeting has roughly three layers of content, and they are not equally hard to recover:

• The chat panel is already text. It persists, it is scrollable, and you can read the whole thing after the call in about ten seconds. Losing it from your notes costs you almost nothing.
• The screen share is nearly always a thing that exists somewhere else — a deck, a doc, a dashboard, a PR. Someone can send it to you, and quite often it is still open in front of you.
• The spoken conversation exists once. It has no scrollback. The decision, the objection, the commitment, and the question addressed to you are gone the instant they are said unless something caught them.

Only one of those three layers is genuinely unrecoverable, and it is the one every AI notetaker prioritises. That is not an accident or a shortcut — it is the layer where capture actually adds something you could not get any other way. It is also why the same reasoning applies with even more force to phone calls, which strip away the visual handholds entirely, and to Slack huddles, where an audio-only record misses a screen share but nothing else.

When the visual really is the meeting

Being honest about the exception matters more than the rule here, because for a real slice of meetings the screen is not context, it is the content:

• Product demos and walkthroughs, where the point is watching something work.
• Design reviews and critique, where the discussion is inseparable from what is on the canvas.
• Whiteboarding and architecture sessions, where the diagram is the output.
• Spreadsheet and data reviews, where the numbers are read off the screen rather than spoken.
• Anything you will need to show someone else, where a clip is worth more than a paragraph.

For these, a written summary of any kind is the wrong primary artifact and no capture method fixes that. What you want is a recording you can scrub. The platform’s own cloud recording handles it and is already covered by whatever agreement your company has with that vendor, and the video-first notetakers are built precisely for this job — Canary vs Grain and Canary vs tl;dv both cover tools whose real strength is the recording, the clips, and the shareable highlight rather than the note. If your week is mostly demos, that is a better fit than anything audio-only, and it is worth saying so plainly.

There is also a middle path most people never consider: capture the visual manually and cheaply. A screenshot at the moment the interesting slide appears, the deck attached to the calendar invite afterwards, or a link dropped in chat all solve the problem in seconds, and they solve it in a form you can actually find again later.

Where Canary sits, and what it does not do

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.

The limitation follows directly from that design and is worth stating without hedging: Canary hears the call and sees nothing. No screen share, no video, no chat panel, no whiteboard. If you need the demo on film, Canary is not the tool for that part of the job, and pairing it with the platform’s own recording is a perfectly reasonable setup.

What that trade buys is the layer with no scrollback, delivered at the moment it is worth something. During a live call the slide is still on your screen and the chat is still there to scroll — the only thing you genuinely cannot get back is the last two minutes of talking. A rolling summary at several resolutions is scrollback for the one layer that never had any, which is the whole argument behind what did I miss in the meeting and the reason the multi-resolution view exists at all. The mechanism, including why hearing the machine rather than joining the call is what makes it possible, is in the complete guide to bot-free meeting notes.

The part people forget: a screen share raises the stakes

One last thing, because it belongs with this question and rarely gets asked alongside it. When you move from capturing audio to capturing the screen, you change what a recording is — and it is a bigger ask of the people in the call than most of us register.

Audio captures what people chose to say. A screen recording captures whatever happened to be displayed: the unrelated notification that slid in from the corner, the other customer’s name in the adjacent browser tab, the row of the spreadsheet nobody meant to scroll past, the Slack message from your manager. People agree to being recorded thinking about their words. They are rarely thinking about their desktop.

So if you record video, say that specifically — “I’m recording the screen as well” is a different sentence from “I’m taking AI notes”, and the people sharing their screens deserve the more specific one. The same goes in reverse when someone else is presenting: ask before you capture their screen, close what you do not need before you share yours, and remember that whatever ends up in the recording is governed by whose account it lands on rather than by who was in the room. The general rules on capture and consent do not distinguish between recording sound and recording a screen, which is covered in is it legal to record a meeting.

Do AI meeting notes capture screen shares? The notes, almost never. The recording, if there is one, yes. And the question worth asking underneath it is which layer of the meeting you actually cannot afford to lose — because for most calls, it is the one nobody can screenshot.