I spend roughly 12 hours a week in meetings. That's not a complaint — it's just the reality of running a small team across two time zones. What I am complaining about is the 3-4 hours I used to spend afterward writing up notes, action items, and summaries.
So I tested four AI meeting assistants over the past month: Fireflies.ai, Otter.ai, Fathom, and Granola. Not a quick demo. Real meetings — standups, client calls, brainstorming sessions, one-on-ones. About 40 meetings total across the four tools.
Here's what actually happened.
The quick comparison
| Feature | Fireflies | Otter.ai | Fathom | Granola |
|---|---|---|---|---|
| Monthly price | $10-39 | $8.33-20 | $0-32 | $9-18 |
| Free tier | 800 min storage | 300 min/mo | Unlimited (limited features) | 25 meetings/mo |
| Auto-join meetings | Yes | Yes | Zoom only | No (local app) |
| Transcription accuracy | ~92% | ~90% | ~94% | ~88% |
| CRM integration | Salesforce, HubSpot | Limited | HubSpot | None |
| Best for | Teams + CRM workflows | Live collaboration | Individual note-takers | Privacy-focused users |
What I actually tested
I used each tool for roughly 10 meetings (mix of Zoom, Google Meet, and Teams where supported). I scored them on:
- Transcription accuracy: Did it get the words right? Especially names, technical terms, and numbers.
- Summary quality: Were the AI summaries useful or just fluffy rewrites?
- Action item detection: Did it catch the things we actually agreed to do?
- Friction: How annoying was it to set up, invite the bot, get recordings?
Fireflies.ai — The enterprise workhorse
Fireflies joins your meetings as a bot participant ("Fireflies.ai Notetaker"). You'll see it pop up in your Zoom or Meet as a separate attendee.
What worked:
- Best CRM integration I tested. It pushed meeting summaries and action items directly to our HubSpot deals. For sales teams, this alone might justify the cost.
- Topic detection was surprisingly accurate. It auto-tagged segments as "pricing discussion," "feature request," "next steps."
- Search across all meetings is powerful. I could search "what did we say about the API timeline?" and get timestamped results.
What didn't:
- The bot joining meetings weirds people out. External clients asked "who is Fireflies?" more than once. One client explicitly asked me to remove it.
- Transcription accuracy dropped noticeably with non-native English speakers. In a call with our Singapore team, it misidentified the speaker and garbled several sentences.
- Free tier is essentially useless (800 minutes of storage, no AI summaries).
My take: If you have a sales team doing 20+ external calls a week, Fireflies + CRM integration is genuinely valuable. For individual use, it's overkill.
Otter.ai — The live collaboration angle
Otter's differentiator is real-time collaboration. You can see the transcript live during the meeting, highlight sections, add comments.
What worked:
- Live transcript during meetings is useful for catching things you missed. I'd highlight key decisions in real-time, then export clean notes afterward.
- Otter Chat lets you ask questions about your meetings ("What were the action items from Tuesday's standup?"). It's a neat concept.
- Decent free tier (300 minutes/month covers ~10 meetings).
What didn't:
- Transcription accuracy was the second-lowest I tested. Background noise, crosstalk, and accents all caused problems.
- The AI summaries were too generic. "The team discussed project timelines and assigned tasks" — thanks, I was there.
- No standalone desktop app. Browser-based only, which means another tab to manage.
My take: Good for students or anyone who needs a free/cheap transcription tool. The live collaboration feature is genuinely unique. But the AI intelligence layer feels thin.
Fathom — The one I kept using
Fathom is Zoom-native (they recently added Google Meet and Teams support, but Zoom is where it shines). Unlike Fireflies and Otter, it doesn't send a bot — it uses a local integration.
What worked:
- Highest transcription accuracy in my tests. Technical terms, proper nouns, even numbers were consistently correct.
- No visible bot in the meeting. Your call participants don't see anything different. This matters enormously for client-facing meetings.
- Action item detection was the best of the four. It correctly identified commitments like "I'll send the updated proposal by Friday" even when phrased casually.
- Free tier is generous (unlimited meetings, basic summaries).
What didn't:
- Zoom-first means Google Meet and Teams support feels like an afterthought.
- No CRM integration on the free plan. Pro plan ($19/mo) adds HubSpot.
- No search across meetings on the free tier.
My take: This is the one I'm still paying for. The invisible integration + high accuracy + good action items is exactly what I need. The Zoom dependency is the main limitation.
Granola — The privacy play
Granola runs entirely on your device. No cloud processing, no bot joining your meeting. It captures audio locally, processes it locally, and keeps everything on your machine.
What worked:
- Zero privacy concerns. If you're in healthcare, legal, or any field where meeting recordings are sensitive, Granola is the only option I'd trust.
- The hybrid note-taking approach is clever — you take rough notes during the meeting, and Granola enhances them with the transcript context. Your notes + AI = better than either alone.
- No bot visible to anyone. Not even a local integration notification.
What didn't:
- Transcription accuracy was the lowest. Local processing means smaller models, which means more errors.
- No collaboration features. It's a strictly personal tool.
- Limited meeting platform support — primarily Zoom and Google Meet.
My take: If privacy is a hard requirement, Granola is your only real option. If it's not, the accuracy tradeoff is hard to justify.
The one feature that actually matters
After a month of testing, the feature that separated "useful" from "nice demo" was invisible meeting integration. The tools that required a visible bot (Fireflies, Otter) consistently created friction in external meetings. People ask about the bot, get uncomfortable, or ask you to turn it off.
Fathom's invisible integration meant I could use it in every meeting without a conversation about AI recording. That's the difference between a tool you use sometimes and a tool you use always.
The honest pricing reality
AI tools are getting expensive. Between ChatGPT Plus ($20/mo), Cursor Pro ($20/mo), various APIs, and now meeting assistants ($10-40/mo), the "AI tax" on knowledge workers is real and growing. Before adding another subscription, ask whether the time savings justify the cost.
For me, Fathom Pro at $19/month saves roughly 3-4 hours of note-taking per week. At even a conservative $30/hour valuation, that's $360-480 in recovered time per month. The math works.
For everyone else: start with the free tiers. Fathom Free and Otter Free cover most individual needs without spending anything.
FAQ
Which AI meeting assistant has the best transcription accuracy?
In my testing across 40+ meetings, Fathom had the highest accuracy at roughly 94%, followed by Fireflies at 92%, Otter at 90%, and Granola at 88%. Accuracy varied based on audio quality, accents, and number of speakers.
Do AI meeting assistants record my meetings?
It depends on the tool. Fireflies and Otter send a visible bot that records cloud-side. Fathom uses a local integration (no visible bot). Granola processes everything locally on your device — nothing leaves your machine.
Is there a free AI meeting assistant?
Yes. Fathom offers unlimited free meetings with basic AI summaries. Otter gives 300 free minutes per month. Granola offers 25 free meetings per month. Fireflies has a very limited free tier (800 minutes storage total).
Can AI meeting tools integrate with my CRM?
Fireflies has the strongest CRM integration (Salesforce, HubSpot, Zoho). Fathom supports HubSpot on the Pro plan. Otter and Granola have limited or no CRM integration.
Are AI meeting notes accurate enough to replace manual note-taking?
For internal meetings with good audio quality, yes — especially with Fathom or Fireflies. For noisy environments, heavy accents, or critical legal/medical meetings, I'd still recommend having a human note-taker as backup. The AI summaries are better thought of as "first drafts" that save 70-80% of the note-taking effort.
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