Which meetings does it join?

Every Teams meeting on your connected calendar. Once you connect, Meet3 watches your schedule and joins them automatically — there's no bot address to invite.

Who can see the notes?

Only people who were invited to the meeting. Access is enforced at the database with row-level security — signing in shows you your meetings and no one else's.

What languages are supported?

Transcription is multilingual and handles code-switching — English, Mandarin and Malay inside one sentence, without you selecting a language first. Thai, Bahasa Indonesia, Filipino and others work too.

No. There are no seats and no subscription. You buy credits and spend them on meeting-hours captured, so adding colleagues costs nothing — only meeting more does.

What if the notes are wrong, or the meeting never gets captured?

A meeting only costs credits once its summary is delivered. If the bot cannot join, the meeting is abandoned, or no summary is produced, you are not charged. Every set of minutes also carries a confidence score and a “needs review” list flagging the lines worth checking, so you can see how much to trust them before relying on them.

A credit is the unit you spend. Capturing a meeting (record, transcribe, summarize) costs 1 credit per hour of meeting, rounded up — a 45-minute call is 1 credit, 90 minutes is 2. A meeting only ever costs credits once its summary is generated; a meeting that never finishes costs nothing.

Where is my data stored?

Recordings, transcripts, and notes are stored in your Meet3 account and delivered in the portal. Nothing is shared outside the invited attendees.

Best AI notetaker for Microsoft Teams: how to choose (2026)

July 20, 2026 · comparison

Searching for the best AI notetaker for Microsoft Teams turns up the same shortlist every time — Otter, Fireflies, Fathom — plus a wall of near-identical feature lists. The lists don’t help, because the tools genuinely overlap on the basics: they all transcribe, all summarize, all produce action items. What actually separates them on Teams is four less-advertised things: how the bot gets into the meeting, what happens when the meeting isn’t in English, how the bill scales, and who can read the notes afterwards.

1. Auto-join from calendar vs inviting a bot

There are two mechanics for getting a notetaker into a Teams meeting. The first: you invite a bot address to each meeting, or remember to hit record. The second: the tool connects to your Microsoft calendar and joins every Teams meeting on it by itself. The difference sounds cosmetic and isn’t — with the invite model, the meetings you forget are precisely the unplanned, contentious ones you most needed notes from. Otter, Fireflies and Fathom all support calendar-based auto-join; so does Meet3, which has no bot address to invite at all. Whichever tool you pick, make calendar auto-join the mechanism you actually configure — a notetaker that depends on someone remembering it is a notetaker with a coverage gap.

2. Language handling — the question SEA teams must ask first

Vendors market language count: Otter supports three languages, Notta markets 58. But a Kuala Lumpur or Singapore standup doesn’t run in one of 58 languages — it runs in three at once, switching mid-sentence. “Boss, the Q3 numbers 我看过了 — tapi kita kena discuss the margin dulu” is one sentence in English, Mandarin and Malay. Tools built around picking a language per meeting mangle whichever languages you didn’t pick. Meet3 keeps every language active — English, Mandarin, Malay, Tamil, Thai, Bahasa Indonesia and Filipino, mixed freely, nothing to configure. If your meetings are English-only this section doesn’t apply to you, and the incumbents serve you well. If they aren’t, test with a real recording before you commit — our Singlish and Manglish transcription post shows what the failure modes look like.

3. Pricing model: per seat or per meeting

Every incumbent charges per user per month. That’s fine when everyone with a seat meets constantly; it’s expensive when most licensed users generate a handful of notes a month, which is the normal case. Meet3 charges per meeting-hour captured instead — no seats, no subscription, and a credit is only spent when a summary is actually delivered. Here’s the field, as of July 2026:

Tool	Free tier	Entry paid (annual)	Business tier (annual)	Model
Otter	300 min/mo, 90-min cap per meeting	Pro $8.33/user/mo (1,200 min/mo)	$19.99/user/mo (6,000 min/mo)	Per seat
Fireflies	Limited; AI credits gate summaries	Pro $10/user/mo	$19/user/mo	Per seat
Fathom	~5 AI summaries/mo	Team Edition $15/user/mo	$25/user/mo	Per seat
Meet3	—	$19 / 25 credits ($0.76/hr)	$99–399 packs ($0.73/hr)	Per meeting-hour

The honest read: a small team that meets very heavily is cheaper on a few per-seat licences. Almost everyone else — bigger teams, uneven meeting loads, companies where only some people meet — comes out ahead paying per meeting. We did the full cost math for three real team shapes.

4. Privacy: who can read the notes

In most notetakers, sharing defaults are a workspace setting an admin got right or didn’t. On Teams that matters more than elsewhere, because Teams orgs tend to be exactly the kind of company — finance, government suppliers, healthcare — where a leaked HR call is a real incident. Ask two questions of any tool: who can see a meeting’s notes by default, and is that enforced in the database or just the UI? Meet3’s answer is that notes, transcript and recording are visible only to the people invited to that meeting, enforced with row-level security. Notes are delivered in Meet3’s portal — there’s no email blast to an unchecked recipient list.

Otter, Fireflies, Fathom on Teams — the short version

Otter is the strongest pure transcript editor and the cheapest paid entry point, but it meters minutes and its multilingual support is thin. Fireflies has the widest integration catalog (CRMs, Slack, dialers) and is the natural pick if notes must flow into other systems; its free tier gates summaries behind AI credits. Fathom has the most generous free recording tier and clean summaries; its AI summaries are capped on free and its center of gravity is Zoom. All three are solid choices for an English-only team that’s comfortable with per-seat billing — none of them is a wrong answer there. Where they thin out is mixed-language speech and pricing shape, which is the case we broke down in the Fireflies alternative comparison.

Why Teams-only is a feature, not a gap

Meet3 works on Microsoft Teams and nothing else — Zoom, Meet and Webex are vote candidates, not promises. If your company runs on Zoom, stop reading and pick one of the three above. But if you’re on Teams, a multi-platform tool is spreading its engineering across four clients while a Teams-only one goes deep on the single client you use: joining from the Microsoft calendar with no bot invite, and handling the mixed-language meetings that Teams-heavy markets in Southeast Asia actually run. Meet3 also skips diarization theater — it doesn’t claim to know who spoke each line, and instead ships every set of minutes with a confidence score and a “needs review” block flagging what a human should confirm. Notes you can calibrate trust in beat notes that are confidently wrong.

See how Meet3 handles Singapore’s mixed-language meetings →

Picking the best AI notetaker for Microsoft Teams: three questions

Skip the feature grids. Pull last month’s calendar and answer three questions. One: how many captured meeting-hours did your team really generate? Run that number against a per-seat plan and against ~$0.73/meeting-hour. Two: play a recording of your messiest real meeting — if it drifts between English and Mandarin, Malay, Thai or Tagalog, test the transcript before you pay anyone (teams in Malaysia and the Philippines hit this hardest). Three: ask who can read the notes from your most sensitive meeting, and what enforces that. The best AI notetaker for Microsoft Teams is whichever tool survives all three questions on your meetings — for English-only, even-load, per-seat-tolerant teams that’s often an incumbent; for Teams-first teams in Southeast Asia it’s the tool built for exactly that shape.

FAQ

What is the best AI notetaker for Microsoft Teams?

For English-only teams comfortable with per-seat billing, Otter, Fireflies and Fathom are all solid — Otter for transcript editing, Fireflies for integrations, Fathom for its free tier. For Teams-first teams in Southeast Asia with mixed-language meetings, Meet3 is built for exactly that: it auto-joins Teams meetings from your Microsoft calendar and charges per meeting-hour instead of per seat.

Do AI notetakers need to be invited to Teams meetings?

Not necessarily. Most tools support calendar-based auto-join, where the notetaker connects to your Microsoft calendar and joins meetings on its own. Meet3 works only this way — there is no bot address to invite, so unplanned meetings get captured too.

Can AI notetakers handle meetings that mix English with Mandarin or Malay?

Most cannot — they are built around picking one language per meeting, so mid-sentence switches get mangled. Meet3 keeps every language active and handles English, Mandarin, Malay, Tamil, Thai, Bahasa Indonesia and Filipino mixed freely, with nothing to configure.

How much does an AI notetaker for Teams cost?

As of July 2026, per-seat plans run roughly $8–25 per user per month across Otter, Fireflies and Fathom, with capped free tiers. Meet3 sells credit packs at about $0.73–0.76 per meeting-hour with no seats or subscription, and a credit is only spent when notes are actually delivered.