Best AI meeting assistants compared

The promise of AI meeting assistants is simple: stop taking notes, focus on the conversation, and let the AI handle the summary. In practice, the quality varies a lot. Some tools produce transcripts that need heavy editing. Others generate summaries that miss the key decisions. A few actually deliver on the promise.

I ran all four tools — Otter, Fireflies, tl;dv, and Fathom — on the same set of 20 meetings over three weeks. The meetings included one-on-ones, team standups, client calls, and all-hands presentations. Here's what actually worked.

Quick comparison

Tool	Price	Platforms	Languages	Best for	Summary quality
Otter.ai [AFFILIATE:otter]	Free / $16.99-40/mo	Zoom, Meet, Teams, Web	20+ languages	Individuals and small teams	Very good
Fireflies.ai [AFFILIATE:fireflies]	Free / $18-39/mo	Zoom, Meet, Teams, Webex	60+ languages	Sales teams, CRM integration	Good
tl;dv [AFFILIATE:tldv]	Free / $18-59/mo	Zoom, Meet, Teams	30+ languages	Async teams, clip sharing	Very good
Fathom [AFFILIATE:fathom]	Free / $19-39/mo	Zoom, Meet, Teams	28 languages	Privacy-focused teams	Excellent

Otter.ai — the established player

Otter has been in the transcription space since 2016, and that head start shows in the reliability of their core product. The transcription accuracy is consistently high, the app works across all major platforms, and the free tier is surprisingly generous.

The real-time transcription feature is Otter's strongest differentiator. During a meeting, you can see the transcript appearing live, highlighted by speaker. This is useful not just for note-taking but for accessibility — participants who are hard of hearing or joining in a noisy environment can follow along in text.

What works well:

• Transcription accuracy in English is 95%+ in my testing, even with multiple speakers and cross-talk. This is the highest of the four tools tested.
• OtterPilot, their bot that joins meetings automatically, works reliably across Zoom, Google Meet, and Microsoft Teams. Set it once and forget it.
• The summary format is well-structured: key topics, action items, and decisions are separated into distinct sections.
• Search across all your transcripts works well. You can find "that conversation about the Q2 budget" even if you don't remember when it happened.

What doesn't:

• The free plan limits you to 300 minutes per month and 30-minute max per conversation. Most users will need the paid plan.
• Speaker identification is imperfect. In meetings with 5+ participants, Otter occasionally attributes statements to the wrong person, especially if voices are similar.
• Integration with project management tools (Jira, Asana, Linear) is limited. You can export to Slack and Notion, but automated action-item creation requires manual setup.
• The AI chat feature (ask questions about your transcripts) gives generic answers for nuanced questions.

Best for: Individual professionals and small teams who want reliable, accurate transcription with a clean interface. If you mainly use English and value transcript accuracy above all else, Otter is the safe choice.

Fireflies.ai — the sales team favorite

Fireflies has carved out a strong position with sales teams, and for good reason. The CRM integrations are the deepest of any tool tested, and the conversation intelligence features (talk-to-listen ratios, sentiment analysis, topic tracking) are genuinely useful for sales coaching.

What works well:

• CRM integration is seamless. Meeting summaries, action items, and key moments sync directly to Salesforce, HubSpot, and Pipedrive without manual intervention.
• The conversation intelligence dashboard shows patterns across meetings: who talks the most, which topics come up frequently, sentiment trends over time.
• Language support is the broadest at 60+ languages. For international teams, this matters.
• The AskFred AI assistant can answer questions across your entire meeting library. "What did the client say about pricing in last week's call?" gets a specific, accurate answer.

What doesn't:

• Transcription accuracy is a step behind Otter, particularly for speakers with accents or in meetings with significant background noise. I measured roughly 90% accuracy versus Otter's 95%.
• The interface feels cluttered. There are a lot of features, and finding what you need takes some exploration. New users face a learning curve.
• Meeting summaries tend to be verbose. Where Otter gives you bullet points, Fireflies writes paragraphs. You can customize this, but the defaults aren't great.
• The bot notification that appears when Fireflies joins a meeting is more intrusive than competitors, which has caused some awkward moments on client calls.

Best for: Sales teams that live in their CRM and want meeting intelligence baked into their pipeline. Also a strong choice for multilingual teams.

tl;dv — the async-first tool

tl;dv approaches meeting notes from a different angle: clips over transcripts. The core workflow is to record the meeting, then share specific moments — not the full transcript — with people who need them. It's built for teams where not everyone attends every meeting.

What works well:

• Clip sharing is the best in category. You can mark moments during a meeting, and tl;dv creates shareable clips with one click. The clips include video, transcript, and context, making them far more useful than forwarding a text summary.
• The AI editor lets you create highlight reels from meetings. Select the key moments, and tl;dv assembles them into a condensed video. This is particularly useful for sharing decisions with stakeholders who weren't present.
• Integration with Notion, Slack, and project management tools is smooth. Clips can be pushed to specific channels or pages automatically.
• The multi-meeting intelligence feature can synthesize insights across multiple meetings. Ask "what are the common objections across our last 10 sales calls?" and get a useful answer.

What doesn't:

• The focus on clips means the full transcript view is secondary. If you need detailed, searchable transcripts, Otter or Fireflies are better.
• The free plan is limited to recording and basic transcription. AI summaries, clips, and most useful features require the $18/month plan.
• Meeting bot reliability is occasionally inconsistent on Microsoft Teams. Zoom and Meet work without issues.
• Custom vocabulary (industry terms, product names, acronyms) isn't well supported. You'll see misspellings of company-specific terms.

Best for: Distributed teams where most communication is async. If your team culture is "watch the clip, skip the meeting," tl;dv is built for exactly that workflow.

Fathom — the privacy-first option

Fathom stands out in a category where most tools send your audio to cloud servers for processing. Fathom processes audio locally by default and offers end-to-end encryption for teams that need it. The summary quality is also the highest of the four tools tested.

What works well:

• Summary quality is genuinely impressive. Fathom produces concise, accurate summaries that capture decisions, action items, and context without fluff. In my testing, I rarely needed to edit a Fathom summary before sharing it.
• Privacy controls are the strongest in category. You can configure whether recordings are stored in the cloud or kept local, who can access transcripts, and whether the AI bot identifies itself when joining calls.
• The free plan is the most generous: unlimited recording, transcription, and AI summaries. The paid plan adds team features and integrations.
• The interface is clean and fast. No feature bloat, no confusing menus. Meetings are listed, summaries are one click away.

What doesn't:

• Integration options are more limited than Fireflies or tl;dv. CRM sync is available but less configurable. Project management integrations are basic.
• Conversation intelligence features (sentiment, talk ratios, topic tracking) are present but less developed than Fireflies.
• The team collaboration features (shared libraries, comment threads) are new and still maturing.
• No clip-sharing feature. You share full transcripts or summaries, not specific moments.

Best for: Teams in regulated industries (healthcare, legal, finance) or anyone who cares about data privacy. Also a great choice for individuals who just want accurate summaries without paying.

Practical advice: choosing the right tool

Here's how I'd decide:

Solo professional who attends a lot of meetings: Fathom. The free plan is unbeatable, and the summary quality means you'll actually use the output instead of ignoring it.

Sales team: Fireflies. The CRM integrations and conversation intelligence justify the price if you're running a structured sales process.

Distributed team that values async communication: tl;dv. The clip-sharing workflow is a genuine time-saver when you need to keep remote team members informed without requiring live attendance.

Large organization with compliance requirements: Otter (for accuracy) or Fathom (for privacy), depending on which concern is primary.

What to watch for

A few things to consider regardless of which tool you pick:

Inform participants. Most tools add a bot to the meeting. Some jurisdictions require consent from all participants before recording. Make sure your recording policy is clear.

Don't record everything. Just because you can record every meeting doesn't mean you should. Sensitive HR conversations, performance reviews, and confidential strategy discussions may not belong in a searchable transcript database.

Test with your actual meetings. Accuracy varies based on accents, audio quality, number of speakers, and technical vocabulary. A free trial with your real meetings tells you more than any review.

Consider the integration chain. The best meeting assistant is the one that connects to where your team already works. If you live in Notion, check the Notion integration. If Salesforce runs your life, check the CRM sync. Features that don't connect to your workflow won't get used.

I'll revisit this comparison in Q3 2026 as these tools continue to evolve. Fathom and tl;dv in particular are shipping quickly and closing feature gaps with the more established players.