Fireflies vs Otter.ai vs Fathom: The Best AI Meeting Assistant in 2026

The three-way choice nobody warns you about

Every week brings another AI notetaker promising to never make you take notes again. Most of them demo beautifully, get installed on a Monday, and quietly fall out of the toolbar by Friday. Meeting recording stopped being a novelty a while ago — it is now a routine decision that shapes how your team remembers what was said, who owns what, and whether the deal notes ever reach the CRM.

So picking one is less about which has the longest feature list and more about which problem hurts you most. That is really three questions wearing a trench coat: do you want the most accurate transcript or the most automation? Do you want the most generous free plan or the deepest CRM hooks? And are you fine with a bot visibly sitting in the call, or not? Fireflies.ai, Otter.ai, and Fathom each answer those differently, which is why "the best AI meeting assistant" has three correct answers depending on who is asking. The market they are fighting over is worth about $1.42 billion in 2026, up from $1.20 billion in 2025 at roughly 18% CAGR (Precedence Research).

Meet the three contenders

The differences make a lot more sense once you know where each tool came from. Their DNA explains their defaults.

Fireflies bills itself as "The #1 AI Assistant For Your Meetings," but its real center of gravity is the team and the sales org: it behaves like a meeting-data hub that pipes transcripts, summaries, and action items into wherever your work actually lives. It reached a $1 billion valuation in June 2025 (via a tender offer rather than a fresh raise), has been profitable since 2023, and reports roughly 20 million users across 500,000+ organizations, including a claimed 75% of the Fortune 500 (Yahoo Finance).

Otter is the veteran of live transcription, now repositioned — in its own words — as a "Conversational Knowledge Engine." It leans into the real-time experience and cross-meeting retrieval: ask it what was decided across a quarter of calls and it answers. AISense, its parent, raised about $73 million, led by a $50 million Series B from Spectrum Equity in February 2021 (Spectrum Equity).

Fathom is the newcomer that punches up: founded in 2020 by Richard White, it offers the most generous free plan in the category, carries the highest user ratings, and — uniquely — lets you record without a bot in the room. It raised about $21.7 million (a $17 million Series A led by Telescope Partners in September 2024, plus $2 million from 1,300+ individual investors on Wefunder), is used by 300,000+ companies, and was named HubSpot's Most Used App of 2025 (TechCrunch).

"Your AI notetaker is now also your Conversational Knowledge Engine." — Otter.ai's own positioning, which tells you where it wants to compete: not on capturing the meeting, but on what you do with a year of them.

If you want the wider field rather than this three-way, our roundup of the best AI meeting assistants covers the rest of the category.

Core features, dimension by dimension

More features rarely wins. The right tool wins the one dimension you actually care about. So here are eight of them, each with a clear winner. Start with the table, then read the why underneath.

Transcription accuracy → Fathom

This is the number everyone quotes and almost nobody sources honestly. The one measured test we found comes from openhelm.ai, which ran eight tools across 500 meetings over three months and hand-checked transcripts against 50 randomly sampled calls. On clean audio, Fathom led at 96%, Fireflies at 94%, and Otter at 91%. That is the strongest data available — and it is still a single blog's self-test, transparent in method but not peer-reviewed or independently reproduced, so we treat it as a signal, not a gold standard. Every other accuracy figure floating around (Otter alone gets quoted at 95%, 93–95%, 91%, and ~85% depending on the source) is vendor-claimed and the sources do not agree. The honest common ground: all three drop to roughly 60–70% once you add accents, crosstalk, or background noise. Winner: Fathom.

Language coverage → Fireflies

Here the gap is not close. Fireflies transcribes in 100+ languages, Fathom in 38, and Otter in just six (English, Spanish, French, German, Japanese, and Simplified Chinese). If your calls are multilingual, Fireflies is the only one of the three that comfortably covers them. Winner: Fireflies.

AI summaries & templates → Fathom

All three produce a post-meeting summary; the difference is structure. Fathom ships 17 summary templates keyed to meeting type, including sales frameworks (SANDLER, SPICED, MEDDPICC, BANT) plus customer success, one-on-ones, demos, Q&A, interviews, and retros. Fireflies generates "Smart Notes" (overview, key points, action items); Otter produces its "Outline" (decisions, actions, insights). Both are solid, but Fathom's template library does more shaping out of the box. One caveat to hold for the pricing section: on Fathom's free plan, those advanced templates only apply to your first five meetings each month. Winner: Fathom.

Action-item extraction → Fathom

This is the dimension where the openhelm test showed the widest spread, and it is the one that quietly determines whether anything actually gets done after the call. Fathom scored recall 89% / precision 92% / assignment accuracy 84%; Fireflies came in at 86 / 88 / 79. Both are usable; Fathom is meaningfully better at catching the task and attributing it to the right person. Winner: Fathom.

Cross-meeting AI retrieval → Fireflies

This one is genuinely close, and each tool wins a sub-case. Fireflies' "AskFred" supports multi-meeting analysis and pairs with 200+ AI Skills, which makes it the most flexible for querying patterns across many calls. Fathom's "Ask Fathom" searches your whole account and — the detail we trust most — links each answer back to the exact timestamp in the transcript, so you can verify the citation instead of taking the AI's word. Otter's "AI Chat" plus "Channels" is the best fit if your priority is organizing recordings by team, project, or topic for the long haul. On raw cross-meeting flexibility, Fireflies edges ahead. Winner: Fireflies (with Fathom best for cited answers, Otter best for archival).

Integrations & CRM automation → Fireflies

If your source of truth is a CRM, this is the dimension that matters. The three differ like so:

• Fireflies — 100+ integrations, with the deepest automatic CRM logging into Salesforce and HubSpot, plus Slack, Notion, Linear, ATS tools, Zapier, and a GraphQL API available even on the free plan. This is the widest stack of the three.
• Fathom — connects Salesforce, HubSpot, and Close, and notably lets CRM sync work on the free plan for up to three users per domain. Narrower than Fireflies but unusually generous at the bottom tier.
• Otter — connects the big calendars and meeting platforms, but CRM sync and its sales notetaker are locked to Enterprise, and API/webhooks are Enterprise-only too.

Fireflies takes it on breadth and depth. Winner: Fireflies. If you are assembling a wider stack, our guide to the best AI productivity tools in 2026 covers the surrounding apps.

Capture / no-bot option → Fathom

A visible bot in the call is the shared social cost of this whole category, and Fathom does the most to let you avoid it. You can choose, per meeting, between three modes: transcript-only with no bot, audio plus transcript with no bot, or full audio-video with a bot (including screen capture). Otter's desktop app can also record without a bot. Fireflies is bot-first — it joins and announces it is recording — though it offers Chrome-extension and desktop capture as alternatives. Winner: Fathom.

Live / in-meeting agent → Otter

Otter owns the real-time experience. Its "Meeting Agent" is voice-activated and can act during the call — answering a question, drafting a follow-up email, or scheduling next steps without you stopping to type. Fireflies' "Live Assist" offers in-meeting suggestions and comes in second; Fathom gives you a live running summary but does not act as an in-call agent. If the value is in the meeting itself rather than after it, Otter is the pick. Winner: Otter.

Pricing and free tiers — including the hidden costs

The headline prices land close together. The hidden costs are where they diverge, and that is what actually decides the bill. All figures below are per seat, as of June 2026. Where an official pricing page renders only via JavaScript, the numbers are corroborated against the vendors' own help docs.

A few things the marketing pages bury. Fireflies caps AI usage with monthly "AI credits" (20–50 depending on tier), so AskFred, Soundbites, and Skills have a ceiling even when you pay. Otter walls CRM sync, SSO, and HIPAA entirely behind Enterprise. And Fathom's Team plan requires at least two seats — a solo user who wants team features pays for Premium instead.

Living with them day to day

Specs decide the shortlist; the daily feel decides whether the tool survives the month. Here is how each one actually behaves once it is set up.

Otter is the "set it and forget it" option. It syncs to your calendar and auto-joins meetings, which is exactly what you want until it is not — users report it showing up to calls they would rather it skipped, and removing it from specific (especially in-person) calendar events is fiddly. Accuracy on clean one-on-ones is strong; in noisy group calls, speaker labels drift and the transcript suffers.

Fathom is the cleanest to start with. Onboarding is short, the UI stays out of the way, and the optional no-bot capture spares you the social awkwardness of a recording bot announcing itself. The trade-offs are real but minor: longer meetings occasionally show a sync delay, summary formatting is only lightly customizable, and it cannot capture the Zoom in-meeting chat.

Fireflies offers the most ways to capture — bot, Chrome extension, desktop, mobile, file upload — which is its strength and its irritation. The bot joins and announces itself, which some attendees find intrusive, and the experience skews toward individual power-users who will tune it. The payoff for that fiddliness is reach: once it is wired into Slack and your CRM, transcripts and action items show up where the rest of the team already works, without anyone opening Fireflies itself. For distributed teams weighing the whole stack, our list of the best AI tools for remote teams puts these notetakers in context.

"It's great until it joins a meeting you didn't want recorded — and getting it off a specific calendar event is harder than it should be." — a recurring complaint about Otter's auto-join across Capterra reviews and third-party roundups.

Security, privacy, and trust

This is the dimension where the three differ most and where competitors point fingers least — probably because it is uncomfortable. All three hold SOC 2 Type II. The differences are in what happens to your recordings and, in one case, in court.

Otter, by default, uses your recordings to train its own models. Its policy states that user recordings are de-identified by a proprietary method and may be used to train Otter's models (it says the audio and transcripts are not human-reviewed), while imported customer data is excluded and customer data is not fed to third-party AI vendors for training. Fireflies takes the opposite default: 0-day retention and no training on customer data unless you opt in. Fathom bars its sub-processors (Anthropic, OpenAI, Google) from training on your data contractually, while using de-identified customer data to improve its own models — with a setting to opt out. On compliance, Fireflies and Fathom both offer HIPAA (Fireflies via an Enterprise BAA; Otter's is an Enterprise add-on); Fathom notably has no ISO 27001 and stores data in the US (EU/UK customers can request a DPA).

The harder fact is the litigation. Otter is the subject of an ongoing consent class action, Brewer v. Otter.ai, filed August 15, 2025 in the Northern District of California and consolidated with related suits on October 22, 2025; a motion-to-dismiss hearing was reported for May 20, 2026 (NPR, Fisher Phillips). To be precise about what this is and is not: these are allegations in active litigation, not proven findings.

The suit alleges that Otter's bot recorded video meetings without the consent of all participants and used the resulting data to train its AI, citing federal wiretap and computer-fraud statutes alongside California privacy law. Otter has not been found liable; the case is ongoing.

None of this disqualifies Otter. But if your meetings touch regulated data or customer conversations you do not control, the default training behavior plus the open litigation are weight on the scale that Fireflies and Fathom do not carry.

Strengths and weaknesses at a glance

Every tool is a fit for someone and a frustration for someone else. Here is the honest split for each, tied to the situations where it shows up.

Who should choose which

Skip the universal "best." The right pick is conditional, so match yourself to a profile.

If you want the most for free, or you're a solo user → Fathom. Unlimited recording and transcription at $0, the highest accuracy and ratings, and no-bot capture. Just remember advanced summaries cap at five meetings a month before you rely on them.

If your team lives in a CRM and runs on automation → Fireflies. The deepest Salesforce/HubSpot logging, the widest integration stack, and 200+ AI Skills make it the meeting-data hub for a sales or operations org.

If you need real-time transcription, accessibility, or education use → Otter. Live captions and an in-meeting agent are its home turf — provided you've read the privacy and litigation section and accepted the trade-off.

If you're privacy-sensitive or run a lot of client-facing calls → Fathom's no-bot mode. Recording transcript-only with no bot in the room is the least intrusive way to capture a sensitive conversation.

If you're a consultant or agency juggling many clients → Fireflies for integration depth, or Fathom for its sales/CS templates. Pick based on whether your bottleneck is piping data into client systems or producing structured summaries fast.

If the budget is genuinely tight → Fathom Free or Otter Pro. Fathom's free plan is the most capable $0 option; if you need a paid single seat for more minutes, Otter Pro at $8.33/mo annual is the cheapest. For the wider workflow, the best AI productivity tools in 2026 and best AI tools for remote teams round out the stack.

Scoring summary and editors' picks

Here is the full matrix — twelve dimensions scored 1–5, with the rounded average. Scores reflect our synthesis of official documentation, the openhelm measured test, and user ratings; they are not the output of a controlled lab benchmark of our own.

The picks fall out cleanly. Fathom is our best overall, best free plan, and the right default for most people. Fireflies is the choice for sales, CRM automation, and multilingual teams. Otter is the pick for live transcription and an in-meeting agent — with the privacy caveat firmly in mind. (User-rating context: per Capterra full pages, Fathom sits at 5.0/808 reviews, Fireflies at 4.9/729, and Otter at 4.4/102; G2 scores cited elsewhere are per G2's listed score via search summaries, not independently audited by us.)

FAQ

References and sources

• Fireflies pricing, security, and the free-plan guide
• Otter pricing, privacy & security, and the Meeting Agent announcement
• Fathom pricing, overview, and the help center on security and templates
• openhelm.ai — AI meeting assistants compared across 500 meetings (the measured accuracy test)
• NPR — Otter.ai transcription class action and Fisher Phillips legal analysis
• Capterra full pages: Fathom 5.0/808, Fireflies 4.9/729, Otter 4.4/102
• TechCrunch — Fathom raises $17M and Yahoo Finance — Fireflies reaches $1B valuation
• Precedence Research — AI meeting assistants market and Zapier's Fathom vs Fireflies comparison

A note on method: user ratings are corroborated via search summaries, not independently audited by us; G2 figures reflect G2's listed scores via search summaries. Pricing and features are as of June 2026. This is a researched comparison drawn from official documentation, one measured third-party test, and thousands of public reviews — not a controlled lab test of our own.