I averaged 23 meetings per week last quarter. That’s roughly 18 hours of conversations, decisions, and action items — most of which I’d forget within 48 hours if I didn’t write them down. The problem is, taking notes during a meeting makes you a worse participant. You’re typing instead of thinking, summarizing instead of engaging.
So I tested three AI meeting assistants — Fireflies.ai, Otter.ai, and Fathom — across two weeks of real meetings: client calls, internal standups, brainstorming sessions, and one particularly chaotic product review where four people talked over each other. Here’s which ones actually captured what mattered, and which ones generated beautifully formatted nonsense.
The Short List
- Best for accurate transcripts and search: Fireflies.ai — best speaker identification and searchable archives
- Best for action items and summaries: Fathom — smartest AI summaries, best at extracting what matters
- Best for live note-taking during meetings: Otter.ai — real-time transcription you can actually read as it happens
- Best free tier: Fathom (unlimited recordings for individuals, seriously)
- Worst for accents: Otter.ai struggled more with non-American accents than the other two
How I Tested
I connected all three tools to my calendar (Google Calendar) and let them join every meeting for two weeks. This gave me:
- 8 client calls (30-60 min each, mostly English with some industry jargon)
- 5 internal team standups (15 min, fast-paced, multiple speakers)
- 6 project sync meetings (45 min, technical discussions with code references)
- 3 brainstorming sessions (60 min, chaotic, overlapping speakers)
- 1 product review (90 min, 7 participants, heavy cross-talk)
For each meeting, I compared: transcription accuracy, speaker identification, summary quality, action item extraction, and whether the AI understood context or just transcribed words. I also tracked how often I actually used the notes afterward — because a tool that produces beautiful notes you never open is worthless.
Fireflies.ai: The Transcription Workhorse
Fireflies feels like it was built by people who spend their lives in meetings and just want everything searchable. It joins your meetings as a bot (you can name it — mine is “Fred”), records everything, and produces a transcript, summary, and action items.
The transcription quality is excellent. Across 23 meetings, I manually spot-checked about 200 sentences against the recordings, and Fireflies got 96% of words correct. Speaker identification was the best of the three — it correctly labeled who said what about 90% of the time, even in meetings with 5+ participants who had overlapping speech patterns.
What really sets Fireflies apart is the search. You can search across all your meetings for a specific phrase, and it’ll jump to that exact moment in the recording. I used this constantly — “what did the client say about the budget?” → search “budget” → there it is, 3 seconds later. This alone might be worth the subscription.
What Fireflies does well:
- Best transcription accuracy of the three (96% in my tests)
- Excellent speaker identification, even in large meetings
- Powerful search across your entire meeting history
- Integrates with 40+ tools (Slack, Notion, Salesforce, HubSpot, Asana)
- Custom vocabulary — you can add product names, acronyms, industry terms
- Soundbites feature: create shareable clips from meetings (great for sharing decisions)
Where Fireflies falls short:
- AI summaries are decent but not great — they’re more like compressed transcripts than intelligent synthesis
- Action items sometimes feel auto-generated rather than actually extracted — it’ll flag “we should” statements as action items
- The interface is functional but cluttered — you can tell engineers designed it
- Occasional connection issues — Fred failed to join 2 out of 23 meetings
- Pricing: Free (limited), Pro $10/month, Business $19/month, Enterprise custom
When Fireflies joined, did it feel natural? Mixed. Some clients asked “who’s Fred?” and I had to explain. Most were fine with it. One client specifically requested I not record — which is a valid concern with all these tools.
Otter.ai: The Real-Time Transcribing Companion
Otter is the granddaddy of AI transcription — it’s been around since 2016, and its real-time transcription is still the smoothest in the game. Words appear on screen as people speak, with only about 1-2 seconds of lag. This might sound like a small thing, but it changes how you use the tool: you can actually follow along with the transcript during the meeting, and catch things you missed.
Otter’s killer feature is OtterPilot — an AI that not only transcribes but also answers questions about the meeting. After a call, you can ask “what did Sarah say about the Q3 timeline?” and Otter will find the relevant section and summarize it. It’s like having a research assistant who attended every meeting.
The AI summaries are structured and useful. Otter generates a meeting outline with timestamps, key topics, and action items. The “chapters” feature breaks long meetings into topical sections automatically — useful for jumping to specific parts of a recording.
What Otter.ai does well:
- Best real-time transcription — words appear almost instantly
- OtterPilot AI chat is genuinely useful for answering questions about meetings
- Excellent mobile app — record in-person meetings from your phone
- Meeting “chapters” make navigating long recordings easy
- Good integration with Zoom, Google Meet, and Microsoft Teams
- “Live notes” during meetings: highlight key moments in real-time
Where Otter.ai falls short:
- Struggled with non-American accents — British, Indian, and Australian speakers had noticeably lower accuracy (about 85% vs 96%)
- Speaker identification is weaker than Fireflies — more “Speaker 1, Speaker 2” than actual names
- Technical jargon and acronyms caused more errors than Fireflies
- The meeting bot joining can feel intrusive — Otter shows up as a visible participant
- Free tier: only 300 monthly transcription minutes (about 5 hours)
- Pro: $16.99/month, Business: $30/month
One thing that drove me crazy: In the chaotic 7-person product review, Otter kept tagging speakers incorrectly when multiple people spoke at once. It would attribute half a sentence to one person and the second half to someone else. Fireflies handled this better by marking overlapping speech as “multiple speakers.”
Fathom: The AI Summary Genius
Fathom burst onto the scene a couple years ago with a bold promise: “we won’t just transcribe your meeting, we’ll tell you what it meant.” After two weeks of testing, I’d say they’re 70% of the way there — which is honestly impressive.
Fathom’s AI doesn’t just transcribe and summarize. It identifies: decisions made, questions asked, objections raised, action items assigned, follow-ups needed, and even the emotional tone of the conversation. After each meeting, Fathom sends you a “highlight reel” — a 2-minute summary of the most important moments, with video clips.
The summaries are the best of the three tools by a wide margin. While Fireflies gives you “here’s what was said” and Otter gives you “here’s the structure,” Fathom gives you “here’s what actually matters.” It correctly identified action items 85% of the time (vs about 60% for Fireflies and 70% for Otter), and its decision-detection was particularly good — it caught decisions I would have missed in my own notes.
What Fathom does well:
- Best AI summaries — actually extracts meaning, not just compressed text
- Action item detection is remarkably accurate
- Highlight reels: 2-minute video summaries of key moments
- “Ask Fathom” feature: ask questions about any meeting and get answers
- Monologue detection — flags when someone has been talking too long
- Talk-time analytics: see who dominated the conversation (useful for managers)
- Free tier is extremely generous: unlimited recordings for individuals
Where Fathom falls short:
- Transcription accuracy slightly lower than Fireflies (about 93%)
- Speaker identification is hit-or-miss — good for regular participants, bad for new voices
- Limited integrations compared to Fireflies (focuses on CRM: Salesforce, HubSpot, Close)
- No mobile app for in-person meetings (desktop/web only)
- Search is weaker than Fireflies — can’t search across all meetings as easily
- Pro: $19/month, Team: $29/user/month
The “wow” moment: After a particularly tense client call where the client pushed back on our timeline, Fathom’s summary included: “Client expressed concern about the Q3 delivery date (see 14:23-16:45). Action item: Sarah to send revised timeline by Friday.” At 14:23, the client had said “I’m a little worried about Q3” — which I had mentally noted but not written down. Fathom caught it, flagged it, and assigned a follow-up. That single moment probably justified the subscription.
Head-to-Head Comparison
| Feature | Fireflies.ai | Otter.ai | Fathom |
|---|---|---|---|
| Transcription Accuracy | ⭐ 9.6/10 | ⭐ 8.5/10 | ⭐ 9.3/10 |
| Speaker Identification | ⭐ 9/10 | ⭐ 7/10 | ⭐ 8/10 |
| AI Summary Quality | ⭐ 7/10 | ⭐ 8/10 | ⭐ 9/10 |
| Action Item Extraction | ⭐ 6/10 | ⭐ 7/10 | ⭐ 8.5/10 |
| Search Capability | ⭐ 9/10 | ⭐ 7/10 | ⭐ 6/10 |
| Real-Time Transcription | ⭐ 7/10 | ⭐ 9/10 | ⭐ 7/10 |
| Integrations | ⭐ 9/10 | ⭐ 8/10 | ⭐ 7/10 |
| Free Tier Value | ⭐ 7/10 | ⭐ 6/10 | ⭐ 9/10 |
| Non-English / Accents | ⭐ 8/10 | ⭐ 6/10 | ⭐ 8/10 |
Which One Should You Use?
Choose Fireflies.ai if: You need best-in-class transcription accuracy and powerful search. If you’re in client-facing roles where exact wording matters (legal, consulting, sales), Fireflies is the safest bet. It catches more words correctly and identifies speakers better. The search across your entire meeting history is genuinely transformative — I’ve gone back to find specific quotes from three-month-old meetings in under 10 seconds.
Choose Fathom if: You want the best “I didn’t attend that meeting but I know what happened” experience. Fathom’s AI summaries are significantly better than the competition. If your main problem isn’t “I need a perfect transcript” but rather “I need to know what decisions were made and what I need to do,” Fathom is the clear winner. The highlight reels alone save me 15 minutes per meeting.
Choose Otter.ai if: You want real-time transcription you can actually use during meetings, or if you do a lot of in-person meetings (Otter’s mobile app is the best for recording offline conversations). OtterPilot’s Q&A capability is genuinely useful. But if transcription accuracy for accented speech matters to you, Otter lags behind.
My personal stack: Fathom for client meetings and important internal discussions (best summaries), Fireflies for routine meetings I want to be searchable (best archive). Yes, I pay for two — about $30/month total, which is cheaper than the productivity I’d lose without them.
The Elephant in the Room: Recording Ethics
Let me address the uncomfortable part: recording meetings with AI bots. In all 23 meetings, I notified participants that the meeting was being recorded. Most people were fine with it. A few asked questions. One person declined.
My rule of thumb: always ask. In most jurisdictions, you’re legally required to get consent for recording. Beyond legality, it’s just good manners. Nobody wants to discover they were recorded without knowing.
All three tools show a clear notification when they join — “Fireflies.ai Notetaker has joined” or similar. This helps set expectations, but I still verbally confirm at the start of each meeting.
The Bottom Line
AI meeting assistants in 2026 are no longer a novelty — they’re a productivity essential if you spend more than 10 hours a week in meetings. The technology isn’t perfect (accents, background noise, and cross-talk still cause issues), but it’s good enough that I genuinely can’t imagine going back to manual note-taking.
The biggest value isn’t even the transcripts or summaries — it’s the peace of mind. I can actually focus on the conversation instead of frantically typing notes, knowing that everything is being captured and the AI will tell me what I need to do afterward. That mental freedom is worth way more than $20/month.
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Disclosure: I used free trials and paid for subscriptions to test these tools. No sponsorships. Meetings were recorded with participant consent.