AI Meeting Assistants Compared: Otter vs Fireflies vs Fathom (2026)

I've spent the last three months using three different AI meeting assistants across every meeting I had — and I have a lot of meetings. We're talking roughly 180 meetings total, split across team standups, client calls, one-on-ones, brainstorming sessions, and the occasional all-hands. Each tool attended every meeting simultaneously (yes, I had three bots in my calls, and yes, my colleagues made fun of me).

After three months, I've got enough data to give you a genuinely informed comparison of Otter.ai, Fireflies.ai, and Fathom. Not based on marketing pages. Based on real usage, real numbers, and real frustrations.

Why These Three?

There are dozens of AI meeting assistants out there, but these three consistently show up in "best of" lists and, more importantly, they represent three different philosophies:

• Otter.ai — the veteran. Been around since 2016, massive user base, strong brand recognition
• Fireflies.ai — the integration powerhouse. Built for sales teams and CRM workflows
• Fathom — the startup darling. Minimalist, fast, surprisingly generous free tier

I deliberately left out tools like Grain, tl;dv, and Avoma because they target slightly different use cases (coaching, video snippets, revenue intelligence). Maybe I'll cover those in a separate review.

The Testing Setup

Here's how I structured the comparison:

• Platform: All meetings on Zoom (to keep the variable consistent)
• Meeting types: ~60 internal standups (15 min), ~45 client calls (30-60 min), ~40 one-on-ones (30 min), ~20 brainstorming sessions (60 min), ~15 presentations/all-hands (45-90 min)
• Languages: Primarily English, with about 15 meetings that included non-native English speakers with various accents
• Audio quality: Mix of good (home office with mic) and bad (coffee shop, car, phone audio)
• Plans tested: All on paid Business/Pro tiers, not free versions

I manually spot-checked transcription accuracy on 30 randomly selected meetings (10 per tool) by comparing a 5-minute segment against what was actually said.

Transcription Accuracy

This is the foundation. If the transcription is wrong, everything built on top of it — summaries, action items, search — is compromised.

A few things stand out:

Fathom edges out Otter overall, which surprised me. Fathom is the youngest of the three, but their transcription engine (they use a combination of Whisper-based models with custom fine-tuning) handles accents and overlapping speakers slightly better. The difference is small — we're talking 1-2% — but it's consistent.

Fireflies trails in transcription accuracy. This was consistent across my testing. It's not bad by any means — 87% is usable — but when you're generating action items from a transcript that's 3% less accurate than the competition, those errors compound. I noticed more "phantom" action items from Fireflies that were based on misheard words.

Overlapping speakers are hard for everyone. When two or more people talk at the same time, all three tools struggle. Otter handles this by often attributing the text to "Unknown Speaker," while Fathom tries harder to separate the voices (sometimes successfully, sometimes not). Fireflies tends to merge overlapping speech into one speaker's transcript.

Speaker Identification

Getting the words right is one thing. Knowing who said them is another.

Otter's voice profile learning is the most mature — after a few meetings with the same people, it identifies them almost perfectly. Fathom has better first-time identification (it seems to use calendar invite names and Zoom profile names more aggressively), but its learning over time is less noticeable.

Meeting Summaries and Action Items

This is where the real value lies. Nobody wants to re-read an hour-long transcript. They want to know: what was decided, who's doing what, and what's the deadline?

Otter's Approach

Otter generates what it calls "Otter AI Chat" summaries. You can ask questions about the meeting after it's done, like "What did Sarah say about the timeline?" and it'll pull the relevant section. The automatic summary is organized into key topics, with bullet points under each.

Action items are extracted automatically and presented as a checklist. In my testing, Otter correctly identified about 73% of action items. It's good at catching explicit commitments ("I'll send that report by Friday") but misses implicit ones ("We should probably update the pricing page" — is that an action item or just a thought?).

The summary quality is reliable but not exciting. It covers the ground without providing much insight. Think meeting minutes, not strategic analysis.

Fireflies' Approach

Fireflies organizes meeting notes into sections: Overview, Action Items, Key Questions, and Detailed Notes. The Overview section is concise and usually accurate. The Key Questions section is unique to Fireflies and actually quite useful — it pulls out questions that were asked during the meeting, which helps track unanswered items.

Action item detection was slightly better than Otter at 76%, and Fireflies does something clever: it categorizes action items by urgency (though the urgency classification is wrong about 30% of the time). It also automatically suggests who should be assigned each action item based on the conversation context.

Where Fireflies pulls ahead significantly is in its CRM integration. If you're a sales team using Salesforce or HubSpot, Fireflies can automatically log meeting notes and action items to the relevant deal or contact. I tested the HubSpot integration and it worked about 85% of the time — the 15% failures were mostly when the contact email didn't match between Fireflies and HubSpot.

Fathom's Approach

Fathom takes a different approach that I've come to really appreciate: it lets you highlight moments during the meeting in real-time. You click a button (or use a keyboard shortcut) to mark something as important while it's happening. After the meeting, Fathom generates a summary that emphasizes these highlighted moments.

Even without manual highlights, Fathom's auto-summary is good. It's the most concise of the three — usually 60-70% shorter than Otter's summary while covering the same key points. For someone who attends 8+ meetings a day, brevity is a feature.

Action item detection was the lowest at 68%, but here's the thing: the action items it did catch were almost always correct. Fathom seems to have a higher confidence threshold, meaning fewer false positives. I'd rather have 10 correct action items than 15 items where 5 are wrong.

Summary Comparison

Search and Retrieval

After three months, I had hundreds of meeting transcripts. The ability to search through them — find when a decision was made, who said what about a specific topic, when a client mentioned a competitor — becomes incredibly valuable over time.

Otter: Search is solid. Full-text search across all transcripts with filters for date, speakers, and meeting type. The AI-powered "Ask Otter" feature lets you query across all your meetings: "What decisions did we make about the Q3 launch?" and it'll synthesize information from multiple meetings. This is arguably Otter's best feature.

Fireflies: Good search with additional filters for sentiment (find parts of meetings where the tone was negative — useful for post-mortem analysis). The "Topic Tracker" lets you set up keywords and get notified when they're mentioned across any meeting. Sales teams love this for tracking competitor mentions.

Fathom: Search is functional but basic compared to the other two. It works well for finding specific meetings and searching within them, but the cross-meeting search and synthesis isn't as developed. This is the biggest area where Fathom's relative youth shows.

Integrations

Fireflies dominates the integration game. Its CRM connections aren't just "push a note to Salesforce" — they automatically map meeting participants to contacts, log interaction history, track deal mentions, and even update deal stages based on conversation signals. For sales organizations, this is the killer feature.

Otter's integrations are functional but not as deep. The Slack integration posts summaries to channels, which is convenient. The Salesforce connection exists but felt like an afterthought compared to Fireflies.

Fathom's integrations are growing. The CRM connections (added in late 2025) work well for basic use cases but lack the depth of Fireflies. Fathom's strength is in its simplicity — it does fewer things but does them well.

Privacy and Security

Since these tools are listening to your meetings, privacy matters. A lot.

Otter: SOC 2 Type II certified. Data encrypted at rest and in transit. Offers data residency options for enterprise plans. Recording consent notifications can be customized. One concern: Otter uses meeting data to improve its models unless you opt out in settings. Make sure you opt out if you're discussing sensitive information.

Fireflies: SOC 2 Type II certified. GDPR compliant. Offers private storage options where transcripts aren't used for model training. The admin dashboard gives IT teams granular control over who can record, share, and export transcripts. Best enterprise governance of the three.

Fathom: SOC 2 Type II certified. Fathom's privacy stance is the most aggressive — they explicitly state they never use your data for model training, period. No opt-out needed because it's not an option in the first place. For privacy-conscious organizations, this is a meaningful differentiator.

Pricing (As of April 2026)

Fathom's free tier is genuinely generous — unlimited meetings with AI summaries. The limitation is you only get 30 days of history. For individual users who don't need to reference old meetings, the free tier might be all you need.

At the Business tier, all three are within $1/user/month of each other, so price shouldn't be the deciding factor. The annual discounts vary significantly though — Fireflies' 40% annual discount makes it the cheapest option if you commit to a year.

The Annoying Things Nobody Talks About

Every review I've read is too polite. Here are the things that actually annoyed me during three months of daily use:

Otter: The bot join time is inconsistent. Sometimes it joins within 10 seconds of the meeting starting, sometimes it takes 2 minutes. For a 15-minute standup, missing the first 2 minutes is a problem. Also, the mobile app is sluggish — searching through transcripts on my phone was a frustrating experience.

Fireflies: The summary generation time is the slowest of the three. For a 60-minute meeting, I sometimes waited 8+ minutes for the summary. In a world where meetings are back-to-back, I need the summary before the next meeting starts. Also, the pricing page is confusing — features are spread across tiers in a way that feels designed to upsell.

Fathom: The real-time highlighting feature is great in theory, but in practice, I often forgot to use it because I was focused on the actual meeting. The search functionality needs work — I couldn't do complex queries like "meetings where both John and the Q3 budget were discussed." And the lack of API access means you can't build custom workflows around it.

Who Should Use What

Otter: Best for Individuals and Small Teams

If you're an individual professional or part of a small team (under 15 people) and you primarily need a reliable transcription and search tool, Otter is your best bet. The "Ask Otter" cross-meeting search feature is unmatched, and the voice profile learning means accuracy improves over time with your regular meeting participants.

Ideal for: Journalists, researchers, consultants, product managers, anyone who needs to reference past conversations frequently.

Fireflies: Best for Sales and Revenue Teams

If your team lives in a CRM and meeting intelligence directly impacts revenue, Fireflies is the clear winner. The depth of CRM integration, deal tracking, and conversation intelligence features are built for sales workflows. The Topic Tracker alone is worth the subscription for competitive intelligence.

Ideal for: Sales teams, customer success teams, account managers, revenue operations.

Fathom: Best for Startups and Privacy-Conscious Teams

If you want a tool that just works without a lot of configuration, Fathom is hard to beat. The free tier is generous enough for many individual users, the summaries are the most concise and actionable, and the privacy stance is the strongest. For startups that can't afford $30/user/month for everyone, Fathom's free tier plus paid seats for key people is a smart hybrid approach.

Ideal for: Startups, engineering teams, privacy-focused organizations, anyone who values simplicity over feature count.

My Personal Setup (What I Actually Use Now)

After this three-month experiment, I settled on a combination: Fathom for my day-to-day meetings (it's fast, accurate, and the summaries save me 20+ minutes daily) and Fireflies for client-facing calls where the CRM integration matters. I cancelled my Otter subscription — not because it's bad, but because the overlap with Fathom wasn't worth the extra cost.

Your mileage will vary based on your team size, tech stack, and what you actually need from a meeting assistant. But after 180 meetings and more AI bots in my calls than actual humans, these are the honest conclusions I've reached.

The meeting assistant space is evolving fast. I expect Fathom to close the search gap and add API access within the next 6 months, which would make it even more compelling. Fireflies is pushing into conversation coaching territory. And Otter is reportedly working on a major overhaul of their summarization engine.

For now, the choice comes down to your primary use case: search and reference (Otter), sales workflow integration (Fireflies), or speed and simplicity (Fathom). Pick the one that matches how you actually work, not the one with the longest feature list.