Best AI Meeting Assistants & Note Takers
An AI meeting assistant joins a call, produces a live transcript, and generates a summary with action items once the call ends. Transcription accuracy on clear, single-language audio is solid across the board now, so that's not where these tools really differ. What matters more is how deeply the tool integrates with your calendar and apps, and how searchable the archive gets once you have hundreds of past meetings in it. Otter and Fireflies both handle the core job well; picking between them mostly comes down to which app ecosystem you already live in.
What to look for
- Test speaker attribution on a call with real crosstalk, not a quiet one-on-one, since that's where accuracy gaps actually show up.
- Check whether the tool auto-joins meetings from your calendar or needs manual setup every time.
- Look at how far back and how searchable the transcript archive is before you need it for a real lookup.
All 3 tools in this category
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FFree options More free AI tools →
2 of the tools above offer a free tier, no credit card required to start.
Side-by-side comparison
| Tool | Best for | Pricing | Free tier? |
|---|---|---|---|
| Otter.ai | Live meeting transcription and automated notes. | Free tier, paid Pro/Business plans | Yes |
| Fireflies.ai | Meeting recorder with searchable AI summaries. | Free tier, paid Pro/Business plans | Yes |
| Feishu Minutes | Feishu's AI meeting notes with transcription and summaries. | Included with Feishu, plus paid tiers | No |
FAQ
What is the best AI meeting assistant?
Otter and Fireflies both cover the core job: live transcription plus a summary and action items. Otter has a slight edge on standalone transcript quality; Fireflies integrates a bit more deeply with CRM and Slack workflows.
Is there a free AI note taker?
Otter and Fireflies both have a free tier with a monthly cap on transcription minutes, enough to try either one on a handful of real meetings before deciding whether to pay.
Are AI meeting notes accurate?
Transcription is reliable for clear audio in a single dominant language. Speaker attribution during group calls with crosstalk is where accuracy still varies the most between tools.