Best AI Meeting Notes Tools: Otter vs Fireflies vs Fathom
Which AI notetaker deserves a seat at your Zoom calls?
Meetings generate more useful information than most teams ever capture. Decisions get made verbally, action items get mentioned once, and then everyone relies on memory or a scribbled note that never gets revisited. AI meeting notetakers exist to fix exactly that problem: they join your call, transcribe it, and turn the transcript into a structured summary with action items, all without anyone typing.
The category has matured fast. What used to be a novelty — "an AI joined your Zoom" — is now a genuine workflow tool used by sales teams, recruiters, consultants, and product managers. But the tools differ more than their marketing pages suggest. Here's a practical look at how the leading options compare and how to pick one.
How these tools actually work
Almost every AI notetaker follows the same basic pipeline:
- A bot joins your call (Zoom, Google Meet, Microsoft Teams) as a visible participant, or the tool captures audio directly from your desktop.
- Speech-to-text transcription runs in near real time, usually with speaker labels.
- An LLM summarizes the transcript into a digestible format — usually a short overview, key discussion points, and action items with owners.
- The summary syncs to your CRM, project tool, or a shared workspace like Notion or Slack.
The differences show up in transcription accuracy on accents and crosstalk, how well the summarization avoids generic filler, and how deeply each tool integrates with the rest of your stack.
Otter.ai
Otter was one of the first mainstream AI meeting assistants and remains a strong generalist choice. It transcribes live, generates automated summaries, and lets you search across a growing archive of past meetings — genuinely useful once you've accumulated a few months of calls. Otter's free tier is generous enough for individuals with a handful of meetings a week, which makes it a common first pick for freelancers and small teams.
Where Otter is weaker is in customization: the summary format is fairly fixed, and it doesn't offer the sales-specific coaching features that dedicated revenue tools provide.
Fireflies.ai
Fireflies leans harder into automation and integrations. It can push meeting notes directly into a CRM, generate follow-up emails, and search across your entire meeting library with natural-language queries ("what did we agree on pricing with Acme Corp?"). It supports more video conferencing platforms out of the box than most competitors, and its API makes it a popular pick for teams that want to build custom workflows around meeting data.
The trade-off is a steeper learning curve — Fireflies has more settings and automation options, which is powerful once configured but can feel like overkill for someone who just wants a summary emailed after each call.
Fathom
Fathom differentiates itself with speed and simplicity: notes and highlights are ready almost the moment a call ends, and its free tier is unusually complete for an individual user, including unlimited recordings. It's particularly popular with sales teams that want to clip and share specific moments of a call rather than read a full transcript. Fathom doesn't try to be a general knowledge base the way Otter or Fireflies do — it's optimized for "get through my calls faster," not for long-term meeting archaeology.
Choosing between them
| Priority | Best fit | |---|---| | Best free tier for individuals | Fathom | | Deepest CRM/automation integration | Fireflies | | Best searchable meeting archive over time | Otter | | Sales teams sharing call clips | Fathom | | Teams building custom workflows via API | Fireflies |
A few things matter more than the feature checklist:
- Transcription accuracy on your actual accents and jargon. Every provider claims high accuracy; the only way to know is to run it on your own calls, particularly if your team includes non-native English speakers or heavy industry terminology.
- Where the summary lives. If your team already works in Notion or Slack, prioritize the tool with a clean native integration rather than one that requires manual exporting.
- Consent and recording laws. Many jurisdictions require all-party consent to record. Most tools announce themselves as a bot in the call, but you're still responsible for complying with local law — this matters more with clients and external partners than with internal teams.
Privacy considerations
Meeting notetakers see everything you say, including salary discussions, client complaints, and unannounced strategy. Before adopting one, check whether the vendor trains models on your transcripts by default, how long recordings are retained, and whether you can delete a transcript on request. This is the same due diligence worth doing across any AI tool that touches sensitive conversations — see our broader look at what happens to your data with AI providers for the questions to ask before you sign up.
Beyond the big three
If none of these quite fit, it's worth scanning the wider Business AI tools directory — some CRM-native options (like features baked into HubSpot AI) already capture call notes as part of a broader sales workflow, which can be more efficient than adding a standalone notetaker on top.
Frequently asked questions
Do I need to tell people an AI bot is recording? Yes. Beyond legal requirements, it's basic courtesy — most tools announce themselves automatically as a visible meeting participant.
Can these tools replace human note-taking entirely? For routine meetings, largely yes. For sensitive negotiations or legally significant conversations, keep a human owning the official record.
Which is cheapest for a five-person team? Compare per-seat pricing directly on each provider's site, since plans and included minutes change frequently — but Fathom and Otter both offer competitive team tiers alongside their free plans.
Will AI-generated action items actually get done? Only if someone owns following up. The tools surface the items; execution is still a management problem, not a technology one.