How long does it take to get AI meeting notes?
It depends on when the tool starts working. Most AI notetakers, including Otter, Fireflies, Fathom and Granola, write the summary after the meeting ends. The notes usually arrive a few minutes after you hang up, and longer recordings can take longer. But processing is the small part of the wait. Notes about something said twelve minutes into an hour-long call can't arrive until the other forty-eight minutes are over, because post-call notes don't exist until the call ends. A real-time summarizer starts the clock when the words are spoken. Canary captures your computer's system audio (no bot in the call, no plugin) and shows a live, multi-resolution rolling summary while the meeting is still going. Its 'now' view of the last 30 seconds refreshes about every 7 seconds, and its whole-call view refreshes every couple of minutes. So the useful question isn't how fast the notes are processed. It's whether you need them before the meeting ends or after it.
Last updated October 10, 2026
It depends on when the tool starts the clock. Most AI notetakers start it when the meeting ends. They write the summary after you hang up, and it lands in your inbox or their app a few minutes later. A real-time summarizer starts it when the words are spoken, and updates a summary every few seconds while the call is still going. Both can fairly be called “fast.” Only one of them has notes ready while you’re still in the meeting.
The wait you don’t notice: the rest of the meeting
When people ask how long AI notes take, they usually mean processing time: how long between hanging up and the email arriving. That’s the part vendors work to shorten, and it’s usually a matter of minutes.
But processing is the smaller part of the wait. Measure from the moment something is said instead:
| Something said at minute 12 of a 60-minute call | When it shows up in your notes |
|---|---|
| Post-call notetaker (bot or bot-free) | After the call ends, so 48 minutes plus processing, at the earliest |
| Live transcript | Within a second or two, as raw words among everything else that was said |
| Platform-native AI with a mid-call “catch me up” (where the host has enabled it) | When you think to ask, as a one-off answer |
| Live rolling summary (Canary) | Within seconds in the 30-second view, and in the wider views at their next refresh |
For a post-call tool, the biggest part of the delay is the meeting itself. Notes about minute 12 of a 60-minute call wait for the remaining 48 minutes, however fast the processing is afterward. Faster servers can’t fix that, because nothing gets summarized until the recording stops. This is the post-meeting vs in-meeting split, measured with a stopwatch.
That delay doesn’t matter for the jobs post-call notes are built for. A recap you’ll send to the team, a record for someone who skipped the call, or action items you’ll copy into a tracker are all needed after the meeting. For those, a few minutes after hanging up is fine.
It matters a great deal when someone asks for your view on what was just said and you were half-reading Slack. You don’t need notes in five minutes then. You need the last two minutes now. A post-call tool can’t help at that point, because its notes don’t exist yet. What did I miss in the meeting? covers that moment.
Where the time goes in a post-call notetaker
Whatever the brand, a post-call tool’s pipeline runs in the same order. How AI meeting notetakers work covers it in more detail.
- Capture for the whole meeting. A meeting bot sits in the call, or a desktop app records your audio. Nothing is summarized yet.
- The call ends. The bot leaves, or you press stop. This is when the clock most people mean starts.
- Finish the transcript. Many tools transcribe as they go, but some re-process the whole recording afterward for better accuracy.
- Summarize. A language model reads the transcript and writes the summary, the action items and any templated sections.
- Deliver. The notes appear in the app and are emailed, posted to Slack or synced to a CRM.
Steps 3 to 5 usually take minutes, and longer calls generally take longer. At the time of writing, Otter, Fireflies, Fathom and Granola all write their main summary after the call. Otter and, on some plans, Fireflies show a live transcript during it. Does Otter show a summary during the meeting? and the Fireflies version go into each one. Vendors don’t publish guaranteed turnaround times and they change their pipelines often, so check your tool’s current help pages for figures.
Where the time goes in a real-time summarizer
A real-time tool runs the same steps, but continuously and on short windows of the conversation.
- Transcribing takes a second or two. Streaming transcription turns speech into text as people talk. It shows a quick provisional guess first (interim results), then settles on a final version of each phrase.
- Summarizing waits for finished phrases. Summarizing text that’s still being rewritten produces summaries that change their minds, so Canary condenses only finalized transcript.
- Each window refreshes at its own speed. The last 30 seconds change constantly, and the gist of a whole hour barely changes in ten seconds. So Canary refreshes the short views often and the long ones rarely. It also skips a refresh when nothing new has been said.
Here are Canary’s refresh intervals, taken from its own scheduler:
| View | Covers | Refreshes about every |
|---|---|---|
| Now | The last 30 seconds | 7 seconds |
| 2 min | The last 2 minutes | 25 seconds |
| 5 min | The last 5 minutes | 1 minute |
| Full | The call so far | 2½ minutes |
Each refresh begins after the previous one finishes, so the real gap is the interval plus the few seconds it takes to write the summary. The first summaries appear within seconds of starting, not after a full interval. The result is that the now view trails the conversation by seconds, not minutes. That’s slower than a live transcript, but you can read it at a glance, while the transcript has to be read in full. Live transcript vs live summary covers that trade-off, and can AI summarize the last few minutes of a meeting? explains why each window gets its own summary instead of a slice of one big one.
What Canary does
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.
It runs as a small always-on-top widget next to your call on macOS, Windows and Linux, and you switch between the now, 2-minute, 5-minute and full views. Collapsed to a pill, it shows a one-line summary of the last 30 seconds. Because it reads system audio rather than joining the meeting, the timing works the same on Zoom, Teams, Meet, Webex, a Slack huddle or anything else your computer plays. When you stop, Canary writes end-of-call notes too: a summary, key decisions and action items, next to the full transcript. It’s free for 5 meetings a month, and Pro is $15 a month.
The honest limits on timing:
- It’s not instant. Even the now view is built from finished phrases, so it runs a few seconds behind the speaker. If you need every word the moment it’s spoken, a live transcript is faster.
- Long calls fade at the start. The full view and the end-of-call notes cover roughly the last 10 to 15 minutes of a long meeting. For something said early in an hour-long call, search the transcript afterward.
- It only covers what it heard. Notes start when you start listening, so if you begin late, the notes begin late too.
- It’s built for you, not the team. If what you need is a polished recap sent to everyone, or notes synced to a CRM, post-call tools such as Fireflies and Otter are built for that. Granola is the bot-free post-call option. Tactiq gives you a live transcript instead of a live summary.
Which delay should you care about?
Ask when you’ll actually read the notes.
- After the meeting, to follow up, share or file: any good post-call tool is fast enough, and a few minutes after hanging up is fine.
- During the meeting, when you’ve drifted, stepped away or been called on: a post-call tool is too late however fast it is, so you need a real-time summary.
- Both: use a real-time tool that also writes end-of-call notes, or pair a live summarizer with the post-call tool your team already uses.
Real-time vs after-the-meeting AI notes helps you decide which you need, and the real-time vs post-meeting pillar covers the longer argument.
Whichever you use, tell the people in the call that AI notes are running. A tool that’s fast or has no bot doesn’t change who should know. How to tell participants you’re using an AI notetaker has wording that works.
Frequently asked questions
Why haven't my Otter or Fireflies notes arrived yet?
Usually one of four things. The meeting hasn't ended for the bot: if it's still sitting in the call, or the call was left open, processing hasn't started. The bot never got in: it may have been left in the waiting room, removed, or blocked by an admin setting, in which case there's nothing to process. The recording is long: processing time generally grows with the length of the call. Or the notes are ready but the email isn't: check the meeting list in the app itself before assuming they're lost. Vendors don't publish guaranteed turnaround times and they change their pipelines often, so check your tool's help pages for current figures.
Is a live transcript the same as getting notes in real time?
No. A live transcript gives you the words within a second or two of them being spoken, which is fast. But it's all of the words. Catching up on the last five minutes from a transcript means reading five minutes of text, which can take as long as listening to it would have. A live summary is slower to update by a few seconds, because each sentence has to finish and then be condensed, but it's short enough to read in a glance. For catching up mid-call, the summary is the faster of the two. See the difference between a live transcript and a live summary.
Do I still get notes at the end if I use a real-time tool?
With Canary, yes. When you stop listening, it makes one final pass over the call and writes a summary, key decisions and action items next to the full, searchable transcript. You can copy it or export it as markdown, or to Slack, Notion or email on Pro. Two caveats apply. That end-of-call pass covers roughly the last 10 to 15 minutes of a long meeting, not the whole thing. And Canary only covers the time it was listening, so if you started it late, the notes start late too.