Every "best AI notetaker for Zoom" list ranks tools by features. That's the wrong layer. Underneath the feature grid, there are only three places a piece of software can physically tap a Zoom call to get the audio, and which one a tool uses determines almost everything you actually care about — who sees it, whether it works on the free Zoom tier, whether it follows you to Google Meet, and whether you can go back and re-watch. Once you see the three attach points, the tool choice mostly falls out. I've tested tools from each category; here's the taxonomy.
1. Bot-as-participant
The most common approach: a bot joins the meeting as a visible participant and records from the inside. Fathom and Otter do this by default. It's the most portable design — because the bot just needs to be admitted to the call, it works on any Zoom tier (including free Zoom) and the same tool usually covers Google Meet and Teams too. Fathom even ships an official Zoom Marketplace app for one-click setup.
The cost is visibility. There's a labeled "AI Notetaker" sitting in the participant list, and once everyone on a call runs their own, you get the now-familiar pile-up of three or four notetaker bots in the roster. On external calls that's awkward at best and against the other side's policy at worst.
Trade: maximum reach and cross-platform, minimum discretion.
2. Inside-the-platform
The second approach doesn't join the call — it runs inside it. Zoom's native AI Companion (its "My Notes" feature) executes server-side within Zoom itself, captures the meeting, and emails a summary afterward. Nothing appears in the participant list because nothing joined; it's the platform taking its own notes.
The economics are the appeal: where Google charges for Gemini and Microsoft charges for Copilot, Zoom bundles the core AI Companion note-taking into its paid Zoom Workplace plans (roughly $13–18/user/month) at no extra cost — so if your org already pays for Zoom, you may already have this and just need an admin to switch it on. (Zoom has started layering premium AI tiers on top, so the frontier keeps moving, but the basic summary comes with the plan.)
The constraints are the flip side of living inside one platform: it's Zoom-only (nothing for your Meet or Teams calls), it needs an admin/host to enable it, and it's not available on the free Zoom tier.
Trade: cheapest and cleanest if you're already a paying, single-platform Zoom shop; useless outside it.
3. Local device-audio capture
The third approach ignores the call entirely and captures what your own machine hears. Granola grabs your device audio locally; browser tools like Tactiq transcribe from a Chrome extension. No bot, no participant, nothing added to the meeting — the quietest possible footprint, which is exactly why it's the pick for confidential client calls.
The architectural catch is a hard one: these tools capture what you can hear, so they work best when you're an active participant actually in the audio path, and they lean on the notes you take rather than a pristine multi-speaker server-side transcript. (Worth stating plainly: bot-free is not the same as recording in secret — in two-party-consent regions you still disclose you're transcribing.)
Trade: minimum footprint and maximum privacy, at the cost of capture fidelity and needing to be present.
Pick the attach point, then the tool
Read your situation through the three and the shortlist writes itself: on a free Zoom account or bouncing between Zoom/Meet/Teams, you need a bot-as-participant tool (Fathom is the one I'd start with — unlimited free plan, official Zoom app, cross-platform). Already a paying, Zoom-only org, the inside-the-platform AI Companion is the cheapest clean option you may already own. Running discreet external calls, local capture (Granola) keeps the meeting clean.
I laid out both routes on Zoom specifically — the native AI Companion setup, the free third-party apps, the multi-bot problem, and how to enable each — in our AI notetaker for Zoom guide, built from the tools we actually ran rather than a marketplace listing. But the mental model is the durable part: three attach points, three sets of tradeoffs, and the tool is downstream of which one fits your call.
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