Fathom vs Fireflies.ai vs Otter.ai: The Cloud Meeting Assistant Trio Compared
Three of the most popular cloud meeting assistants, evaluated head-to-head on price, transcription, AI summaries, and integrations. Which one fits which team.
Most teams evaluating cloud-based AI meeting assistants in 2026 end up looking at the same three products: Fathom, Fireflies.ai, and Otter.ai. They are the cloud category’s most established names, they share a similar core feature set (a bot that joins your calls and turns audio into transcripts and AI summaries), and they overlap heavily in the buyer journey. They also pick three genuinely different lanes once you look past the surface, which is why the right answer for your team depends less on which one is “best” and more on what you’re actually trying to do.
This is a side-by-side based on hands-on use of all three across real meetings over multiple months. No Hedy in this post — for an on-device alternative, see our full rankings — just the three cloud players.
What each tool is optimized for
Fathom is built around the radical idea that the free plan should actually be useful. Free users on individual accounts get unlimited recordings, AI summaries, and action items — no minute caps, no transcript limits. The trade-off is that the surface area is intentionally narrower than its competitors. Fathom is a meeting recorder with AI on top, not a platform.
Fireflies.ai is built around integrations. The product surface that gets the most engineering attention is the layer that pushes meeting outcomes downstream — into Salesforce, HubSpot, Slack, Notion, project trackers, and dozens of other tools. The transcription and AI summaries are competent; the real reason teams pick Fireflies is to wire meetings into the rest of the revenue stack.
Otter.ai is built around the meeting archive. It has been indexing user conversations longer than any other product in this category, and the cross-meeting search, share-able transcript moments, and team-collaborative UI are mature in ways the other two don’t try to match. Otter’s real product is your meeting history.
Pricing comparison
Pricing is where the three products diverge most sharply. The headline numbers don’t tell the full story — the constraints do.
| Fathom | Fireflies.ai | Otter.ai | |
|---|---|---|---|
| Free tier | Unlimited recordings & transcriptions (individual) | $0, 800 min storage | 300 min/month, 30-min cap per call |
| Premium / Pro | $20/month | $10/user (annual) / $18 (monthly) | $8.33/user (annual) / $16.99 (monthly) |
| Team plan | $15/user (annual) / $19 (monthly) | $19/user (annual) / $29 (monthly) | $19.99/user (annual) / $30 (monthly) |
| Business plan | $25/user (annual) / $34 (monthly) | $19/user (annual) / $29 (monthly) | (Same as Team for Otter) |
| Enterprise | Available | $39/user/month annual | Custom |
| Conversation length cap | None | None on Pro+ | 90 min on Pro, 4 hours/meeting on Business |
| Minute cap (paid) | None | None on Pro+ | 1,200 min/month on Pro; Business has unlimited in-app recordings, 6,000 min for imported files |
| AI usage cap | None | One-time AI credits per workspace | None |
Three things to know that the marketing doesn’t lead with:
Fathom’s free tier is genuinely the best in the category. Most “free” plans in this space are demos. Fathom’s is the actual product for individuals, with unlimited recordings and transcriptions. If you are one person who needs meeting summaries and is willing to accept Fathom’s narrower feature set, the running cost can be zero.
Fireflies’ AI credits system is the cost dimension that doesn’t appear in the headline price. Each plan ships with a one-time pool of AI credits used for summaries, action items, and AskFred queries (Pro: 20, Business: 30, Enterprise: 50, with add-on bundles available). Heavy AI users will hit the limit and need to upgrade or buy more credits. The headline per-seat price is not the running cost.
Otter’s Pro tier caps you on minutes and per-conversation length, but Business is more flexible than the bucket suggests. Pro is 1,200 monthly minutes and 90 minutes per call. Business removes the monthly cap on in-app meetings and recordings (capped at 4 hours per meeting) — the 6,000-minute figure on Business applies only to imported-file transcription. If you’re in three or four meetings a day, you’ll hit Pro’s bucket inside a few weeks. Fireflies and Fathom don’t impose this kind of cap on their paid tiers.
Transcription accuracy
All three are competent on clean audio. The ranking changes slightly based on conditions:
- Otter has the longest tenure in this market and shows it on accent handling and speaker diarization in larger meetings (5+ participants). Otter’s transcription officially supports three languages (English, French, Spanish).
- Fireflies is comparable to Otter on accuracy but has the broadest multilingual coverage of the three — 100+ languages supported per its current pricing page.
- Fathom is solid on English with transcript support for 38 languages.
For most North American business meetings, you will not see a meaningful accuracy difference between the three in normal use. The differences emerge with heavy accents, fast cross-talk, or technical jargon — and even then, the gap is small enough that it shouldn’t be the deciding factor.
AI summaries and action items
This is where personality matters more than capability.
Fathom produces clean, structured summaries with explicit action item extraction. The output feels designed for a single user reviewing their own meeting — clear, concise, no flourishes.
Fireflies’ AskFred assistant lets you ask conversational questions about any past meeting (“What did the customer say about pricing on the Acme call?”). The AI credits system gates this — Pro gets 20 one-time workspace credits, Business 30, Enterprise 50, with add-on bundles available for purchase. Heavy AI users will burn through allocations and hit the upgrade prompt.
Otter’s AI summaries are accompanied by a meeting analytics layer (talk ratios, topics covered, sentiment shifts) that’s useful in retrospect for sales coaching or interview review. Otter’s AI is less conversational than Fireflies’ AskFred but more visual.
Integrations and CRM workflows
If integration depth is what you care about, Fireflies has the broadest catalog. Fireflies’ public pricing page lists “unlimited integrations” starting on the Pro plan, with the AI credits system being the practical gating factor for AI-driven workflows. Otter’s CRM integrations are tier-gated by seat count (Salesforce/HubSpot synced notes are available on Pro for 1 user, Team for 5, Enterprise unlimited per Otter’s pricing page). Fathom’s official integrations are narrower — its current CRM integrations are HubSpot, Salesforce, and Pylon.
| Fathom | Fireflies.ai | Otter.ai | |
|---|---|---|---|
| Salesforce | Team plans | Pro+ (catalog) | Pro (1 user) / Team (5) / Enterprise (unlimited) |
| HubSpot | Team plans | Pro+ (catalog) | Pro (1 user) / Team (5) / Enterprise (unlimited) |
| Pylon | Team plans | Not listed | Not listed |
| Slack | All paid plans | Pro+ | Business+ |
| Notion | Native | Native | Via Zapier |
| Zapier | Yes | Yes | Yes |
| Public API | Premium+ | Business+ | Business+ |
The practical ranking depends on how you count: Fireflies has the largest catalog; Otter has more granular per-seat CRM tiering; Fathom has a smaller, more curated set focused on revenue-stack staples.
Team collaboration features
How the three products handle “we’re all watching the same meeting transcript” is a real differentiator.
- Otter has the most mature collaborative UI: shared workspaces, comments on transcript moments, share-able clips, team-wide search across all recordings.
- Fireflies offers similar shared workspaces but the UI is less polished and the discovery of past meetings depends more heavily on AskFred prompts.
- Fathom is intentionally less collaborative — it is designed around single-user playback and review. Team Edition adds shared coaching playlists but doesn’t try to be Otter.
For teams whose meeting workflow is “everyone references the transcript later,” Otter has a real edge. For teams whose workflow is “the rep reviews their own call,” Fathom is the cleaner fit.
Where each tool wins outright
Pick Fathom if:
- You are an individual user and want a free plan that’s actually useful
- You don’t need broad integrations or you’re willing to pay for a Team plan to get them
- You prefer clean, single-user playback over team archives
Pick Fireflies.ai if:
- Your meetings need to flow into Salesforce, HubSpot, or a similar CRM
- You want conversation intelligence (talk ratios, deal-stage signals) for sales coaching
- You’re modeling AI credit usage in addition to the per-seat headline price
Pick Otter.ai if:
- Your team needs a searchable, share-able archive of every meeting
- Cross-meeting search is part of your daily workflow
- You don’t hit Pro’s 1,200 minute / 90-minute-per-conversation caps
Honorable mentions worth knowing
Three cloud tools didn’t make this head-to-head but solve adjacent problems worth noting if you’re shopping the broader category:
- Notta is the option to evaluate first if multilingual coverage matters more than English-language depth. Its language support is among the broadest in the category, and it’s particularly common in cross-border sales and customer success workflows.
- tl;dv sits closest to Otter on workflow but leans harder on shareable highlight clips. Teams that build coaching libraries from short, surgical moments rather than full transcripts often prefer its UI.
- MeetGeek is built around fully automated recording across your entire calendar — a fit for solo operators or small teams who want every meeting captured without manual triggers.
- Sembly.ai invests heavily in action-item extraction and meeting workflows, with task assignment that pushes deeper into project tools than the trio above.
These aren’t lesser products — they’re products with narrower target audiences. If one of those audiences matches yours, the trio above isn’t the right comparison set.
When all three fall short
The cloud meeting assistant category, including these three, shares a common limitation: every conversation gets uploaded to a vendor’s servers for processing. For most teams in most contexts, that’s fine — the privacy posture of Otter, Fireflies, and Fathom is mature enough for everyday business use, and all three offer enterprise-grade compliance (SOC 2, GDPR, HIPAA where applicable).
For teams whose conversations are subject to higher confidentiality requirements (regulated industries, legal matters, M&A discussions, sensitive HR work), the cloud model itself becomes the limiting factor — not the specific vendor. In those cases, an on-device alternative is worth evaluating. Our full rankings cover the on-device tier alongside these cloud players.
Quick verdict
For most teams, the cleanest decision tree is this: free individual use → Fathom. CRM-driven sales workflow → Fireflies. Team-wide meeting archive → Otter. If two of these fit, the tie-breaker is usually price predictability — Fathom and Otter use bucket pricing; Fireflies adds the AI credits dimension that needs to be modeled separately.
For an in-depth single-product review of any of these tools, see Fathom, Fireflies.ai, or Otter.ai.
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