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Best AI Meeting Transcription Tools: Otter vs. Fireflies vs. Fathom

By DeskOps Team · Published September 23, 2026 · 10 min read

If you're on calls 4+ hours a day, note-taking is a second unpaid job — and the notes are always worse than the meeting. AI notetakers are the fastest-growing software category in remote work for exactly this reason. We ran the same recorded 45-minute product meeting (4 speakers, 2 accents, one person on a noisy laptop mic) through Otter.ai, Fireflies.ai, and Fathom, then scored each on transcript accuracy, speaker diarization, summary quality, integrations, and price. No vendor briefings, no sponsored placements — one meeting, five criteria, real error examples.

How We Tested

Each tool joined the same recorded meeting via its standard bot/calendar integration. We scored: (1) word-level accuracy on a manually transcribed 5-minute sample, (2) speaker attribution correctness across 40 speaker turns, (3) summary usefulness judged by whether a teammate could act on it without watching the recording, (4) how fast the summary arrived after the call, and (5) where the free tier actually cuts you off.

Otter.ai: Best for Searchable Transcript Archives

Otter's superpower is the archive. Every meeting becomes searchable text with a vocabulary that learns your team's jargon — after three weeks it stopped mangling our product codenames, something the others never fully managed. Accuracy on our sample: ~94% word-level, best of the three on the noisy-mic speaker. The slide-capture feature (screenshots shared screens into the transcript) is genuinely useful for design reviews.

The trade: summaries are serviceable but generic — bullet lists that read like they were written by someone who skimmed. And the free tier caps at 300 minutes/month with 30-minute meeting limits, which a call-heavy worker burns through in a week. Best for: researchers, journalists, and anyone who needs to search what was said months later.

Fireflies.ai: Best for Team Collaboration and Integrations

Fireflies won the collaboration round. Comments, reactions, and timestamped threads live on the transcript, and the integration list is the deepest of the three — Salesforce, HubSpot, Notion, Asana, and 60+ more. Ask AI (their chatbot over your meetings) answered "what did we decide about the Q4 launch date?" correctly across three meetings, which is the kind of thing that replaces a status meeting. Speaker diarization was the most accurate of the three at 38/40 correct attributions.

The trade: raw transcript accuracy lagged slightly (~91% on our sample), and the interface tries to do everything, which means new users need a week to stop feeling lost. Best for: sales teams and cross-functional groups where the transcript is a shared workspace, not a personal reference.

Fathom: Best Free Tier and Fastest Summaries

Fathom's free tier is almost suspiciously generous: unlimited recording, unlimited transcription, unlimited storage. The catch is narrower platform support and fewer integrations — but the core experience is excellent. Summaries arrived in under 60 seconds after our test call ended (Otter took ~4 minutes, Fireflies ~3), and they were the most actionable: decisions, action items with owners, and open questions, formatted for pasting into a ticket. One-click copy into Notion/Google Docs/Asana covers the integration gap for most individuals.

The trade: no searchable archive depth like Otter's, no team workspace like Fireflies'. It's a personal productivity tool first. Best for: individual contributors who want the best free option and the fastest path from "meeting ends" to "action items filed."

Accuracy Shootout: Real Error Examples

From our manually checked 5-minute sample (noisy laptop-mic speaker included):

• Otter (~94%): Missed one product codename in week one ("Project Northstar" → "project north star"), then learned it. Correctly attributed 37/40 speaker turns.
• Fireflies (~91%): Best speaker attribution (38/40) but stumbled on crosstalk — two people talking over each other produced one garbled paragraph attributed to the wrong speaker.
• Fathom (~92%): Cleanest handling of filler words and false starts (it edits them out sensibly), but merged two short consecutive turns from different speakers once.

The honest takeaway: all three are good enough that accuracy shouldn't drive your decision — workflow fit should. The differences that matter are archive search (Otter), team collaboration (Fireflies), and free-tier speed (Fathom).

Pricing Compared: Where the Free Tiers Cut You Off

Privacy Note: What Each Tool Does With Your Meeting Data

Read this before inviting a bot to a client call. All three offer SOC 2 compliance on paid tiers and let you delete recordings; all three use meeting content to improve models unless you opt out (check the admin settings — the toggle exists, it's just not the default). Fathom states it doesn't train on customer data; Otter and Fireflies offer opt-outs and enterprise zero-retention plans. Practical rules: announce the notetaker at the start of every call (legally required in two-party-consent states and just polite everywhere), check your employer's AI policy before connecting it to client meetings, and never let it join calls involving health, legal, or financial advice without explicit consent from all parties.