AI Meeting Note-Takers Compared: Fathom vs Otter vs Granola vs Fireflies

We ran the same 10 meetings through all four

Meeting note-takers are the easiest AI purchase to justify and the hardest to compare, because every vendor benchmarks itself on clean audio. So we did something less flattering: we recorded ten real meetings — including two with heavy crosstalk, one with a non-native English speaker on a bad connection, and one 78-minute planning session — and ran the identical audio through Fathom, Otter, Granola, and Fireflies.

TL;DR — Fathom for most teams, Granola for consultants who cannot have a bot on the call, Fireflies for sales teams that live in a CRM, Otter if you need a searchable archive on a budget.

Test methodology

The same ten recordings, scored by two editors against a human-written ground-truth summary:

• Action item recall — of the action items a human identified, how many did the tool catch?
• False action items — items it invented or misattributed
• Speaker attribution accuracy — on the crosstalk-heavy calls
• Summary usability — would you send this to someone who missed the meeting, unedited?

Results

Metric	Fathom	Otter	Granola	Fireflies
Action item recall	94%	81%	89%	87%
False action items (per meeting)	0.3	1.1	0.4	0.8
Speaker attribution	92%	88%	n/a (no diarised bot)	90%
Send-without-editing rate	8/10	4/10	7/10	6/10
Entry price	Free / $19	Free / $17	$18	Free / $18

Fathom — best overall

The summaries were the only ones our editors repeatedly forwarded unedited. Action item extraction was the strongest in the test, and the free tier is unusually generous for a solo user. CRM sync (HubSpot, Salesforce) is one click and worked without configuration drama.

Downsides: a bot joins the call, which some clients dislike. Custom summary templates are less flexible than Fireflies'.

Granola — best for consultants and client work

Granola records locally from your machine, so no bot appears in the participant list. For anyone doing client or candidate calls where a visible recorder changes the conversation, that alone decides it. Notes are templated and genuinely tidy; you type sparse notes during the call and it fills in the structure afterwards.

Downsides: no speaker diarisation in the same way a bot-based tool provides, and it needs your machine to be in the meeting — no async recording of calls you skipped.

Fireflies — best for sales teams

Strongest CRM workflow and the best topic tracker: flag keywords like "pricing", "competitor", or "security review" and get a cross-meeting view of when they came up. Summaries were slightly wordier and needed light editing more often.

Downsides: more false action items than Fathom, and the interface has a lot of surface area for people who just want notes.

Otter — best budget archive

Otter's strength is the searchable transcript library, not the summary. If your use case is "find what someone said about the renewal in March", it is excellent and cheap. As a summariser it trailed the field, particularly on crosstalk.

What every tool got wrong

Three consistent problems across all four:

1. Decisions vs. discussion. Every tool over-captured. Someone floating an idea often became a decision in the notes. Read the summary before forwarding it to a client.
2. Attribution on crosstalk. On our worst-audio call, accuracy dropped 10–15 points across the board.
3. Numbers. Prices, dates, and percentages were the most common transcription errors. Verify anything contractual.

Privacy and consent — read this before you deploy

Recording rules differ by jurisdiction, and several US states plus most of the EU require all-party consent. Practical guidance we now follow:

• Announce recording at the start of every external call, and keep the announcement in the transcript.
• Turn off auto-join for calls with candidates, legal counsel, or HR matters.
• Check your vendor's data retention and training settings; all four offer an opt-out, none of them default to the strictest setting.

Which one should you buy?

Situation	Pick
General team, want the best notes	Fathom
Client-facing consultant, no bots allowed	Granola
Sales team living in a CRM	Fireflies
Need cheap searchable transcripts	Otter
Already on Zoom/Teams enterprise	Try the native AI first, then compare

One underrated option: Zoom AI Companion and Microsoft Teams Intelligent Recap are included in plans you already pay for. They lost to Fathom on summary quality in our informal check, but "free and already compliant" wins a lot of procurement arguments.

The ROI math

At 12 meetings a week and 18 minutes of manual note cleanup per meeting, a note-taker that works recovers roughly 3.5 hours per person per week. At a $19 seat price, the tool pays for itself if it saves 20 minutes a month. This is the least controversial AI purchase most teams will make in 2026.

Key takeaways

• Fathom had the highest action-item recall (94%) and the fewest invented items.
• Granola is the answer when a visible recording bot is a problem.
• Every tool over-reports decisions — always skim before forwarding.
• Get consent handling right before you roll one out company-wide.

FAQ

What is the most accurate AI meeting note-taker?

In our ten-meeting test, Fathom — 94% action item recall with 0.3 false items per meeting. Granola was closest behind.

Is there an AI note-taker that does not join the call?

Granola records locally from your device, so nothing appears in the participant list. Some native platform features also work this way.

Are free AI meeting tools good enough?

Fathom's free tier covers most solo users completely. Team features — CRM sync, shared libraries, admin controls — are where the paid plans earn their money.

Do I have to tell people I am recording?

In many jurisdictions, yes, and it is good practice everywhere. Announce it at the top of the call and keep the announcement in the record.

Conclusion

Pick one, run it on every meeting for two weeks, and count how many summaries you send without editing. That number is the only benchmark that matters — and it is why Fathom leads this list.

See the rest of our meetings and productivity coverage, or the full 2026 AI tool ranking.