AI meeting note-takers vs AI meeting participants: a full comparison

TL;DR

AI meeting note-takers (Otter.ai, Fireflies.ai, tl;dv, Avoma, MeetGeek) and AI meeting participants (ExtraSeat) solve different problems. Note-takers improve documentation. Participants improve decisions. This comparison goes deeper than the basic distinction — feature-level differences, specific use cases, and how teams can use both.

Table of contents

1. Why this comparison exists
2. What note-takers do well
3. Where note-takers hit their limit
4. What AI meeting participants do differently
5. Feature-level comparison
6. Which tool fits which problem
7. Using both together
8. FAQ

Why this comparison exists

Search "best AI meeting tool" and you get a list that mixes two categories without distinguishing them. Otter.ai, Fireflies.ai, tl;dv, MeetGeek, Avoma, and ExtraSeat sometimes appear on the same lists, described in similar language, compared on similar features.

They don't belong in the same category.

Otter.ai, Fireflies.ai, tl;dv, Avoma, and MeetGeek are all AI transcription and summarization tools. They solve the documentation problem — capturing what happened in a meeting and making it searchable and actionable afterward. They're good at this, they've been doing it for years, and they compete with each other on accuracy, integration depth, and workflow features.

ExtraSeat is an AI meeting participant. It doesn't primarily produce documentation — it contributes knowledge during the meeting, in real time, in voice. It solves the information gap problem — when a question comes up that the people in the room can't answer.

This comparison covers both categories at the feature level, so you can make an informed decision about what your situation actually requires.

What note-takers do well

The note-taker category has matured significantly. The best tools in this space do several things genuinely well.

Accurate transcription. Real-time and post-call transcription with speaker identification has improved substantially. The leading tools handle accents, overlapping speech, and technical terminology well. Fireflies.ai supports transcription across 30+ languages.

Smart summarization. Modern note-takers don't just produce transcripts — they generate structured summaries: key decisions, action items, open questions, and next steps. These summaries are increasingly well-organized and accurate.

CRM and tool integration. Avoma and Fireflies.ai integrate directly with Salesforce, HubSpot, Notion, Slack, and many other platforms. Meeting notes route automatically to the right record without manual entry. This is where the category has invested the most.

Cross-meeting search. The ability to search across all past meeting transcripts — "find every time a client mentioned pricing concerns" — is one of the highest-value features in the category, and one most teams underuse.

Async sharing. Snippets, highlights, and full transcripts can be shared with participants who weren't on the call, with stakeholders who need context, or with new team members onboarding to a client relationship.

These are solid capabilities. If your primary problem is documentation — capturing what happened, routing it to the right place, making it searchable — note-takers solve it well.

Where note-takers hit their limit

The limit is the meeting itself.

Note-takers produce output after the call ends. They can tell you what was decided, but they can't change what gets decided. They capture the unanswered questions — the action items, the follow-ups — but the questions still went unanswered in the room. The action item exists; the decision doesn't.

For teams whose main frustration is what happens inside the meeting — questions that can't be answered, decisions that get deferred, momentum that stalls — note-takers don't address the problem. They document it.

Note-takers are also limited to one mode: passive capture. They can't respond. They can't be asked questions. They can't contribute knowledge. They listen and record.

Fine if documentation is the goal. A structural limitation if knowledge contribution is the goal.

What AI meeting participants do differently

An AI meeting participant joins the call via a meeting link, as a visible bot participant — the same way a note-taker does. Its job is the opposite.

Instead of capturing what happens, it contributes to what happens. It listens to the conversation in real time, understands context across the full session, and responds to questions in voice. The response is heard by everyone in the call. The question gets answered. The meeting continues.

The key differences:

It speaks. Note-takers don't. The AI participant's voice plays into the meeting audio, heard by all participants.

It has domain expertise. Pre-built specialists are configured for specific domains — financial analysis, legal advisory, technical architecture. They reason within their domain, not just recall facts.

It maintains context. A question asked in minute 40 is answered with awareness of everything said in the first 40 minutes. The specialist knows the full conversation.

It's customizable. You can build a specialist for your specific industry, your specific clients, or your specific internal knowledge — something the note-taker category doesn't support.

Feature-level comparison

Which tool fits which problem

Use a note-taker when:

• You need accurate records of what was discussed and decided
• You're losing information between meetings and need a way to capture it reliably
• Your CRM or project tool needs meeting data routed automatically
• You run high-volume meetings and want searchable archives
• The problem is recall, not real-time knowledge

Use an AI meeting participant when:

• Your meetings regularly hit questions the participants can't answer on the spot
• You want decisions to happen in the meeting, not in follow-up emails
• You run client-facing, investor, or sales calls where expert knowledge affects outcomes
• You cover multiple domains across different meetings and can't be expert in all of them
• The problem is real-time knowledge, not documentation

The clearest signal for each: if your meetings produce good decisions but you can't remember what was decided — use a note-taker. If your meetings produce action items instead of decisions — use an AI participant.

Using both together

These tools are complementary, not competing. Many teams run both in the same session — the AI meeting participant handles live questions and expertise, the note-taker captures the full transcript and produces the summary.

The combination gives you both layers: better decisions in the meeting and a clean record of what was decided. The note-taker even captures the moments when the specialist answered a question — which is useful context for whoever reads the notes later.

If you're already using a note-taker and still finding that meetings end without the decisions they were called to reach, that's the signal that a participant layer is what's missing.

Frequently asked questions

Does ExtraSeat produce meeting notes or summaries?

No. ExtraSeat contributes expertise during the meeting — documentation isn't its function. If you need meeting notes, use a transcription tool alongside it.

Can I use Otter.ai or Fireflies.ai at the same time as ExtraSeat?

Yes. Both can be in the same call. The note-taker captures everything, including the specialist's responses. There's no conflict.

Which note-taker integrates best with Salesforce?

Fireflies.ai and Avoma both have strong Salesforce integrations with direct field mapping and auto-sync. tl;dv and MeetGeek also integrate, with varying depth. If Salesforce is the primary criterion, compare Fireflies.ai and Avoma directly.

Is ExtraSeat a replacement for Otter.ai or Fireflies.ai?

No. They solve different problems. Replacing a note-taker with ExtraSeat leaves you without meeting documentation. The question is whether you need one, the other, or both — and that depends on what your actual problem is.

What if my team needs both real-time expertise and accurate notes?

Run both. A note-taker and ExtraSeat can be in the same meeting. Each does its job independently.

Can AI meeting participants be used for internal meetings, not just client-facing ones?

Both. Internal strategy sessions, cross-functional planning calls, and leadership meetings all benefit from on-demand domain expertise wherever a question comes up that the participants can't answer in the room.

Conclusion

Note-takers and AI meeting participants have ended up on the same lists because they both involve bots joining video calls. The similarity ends there.

Note-takers improve what happens after the meeting. Participants improve what happens during it. Most teams that feel like they have a meeting problem actually have two separate problems — documentation and real-time knowledge — and each requires a different tool.

If you've been using a note-taker and still find that meetings end without the decisions they were called to reach, you're solving the wrong problem.

→ Make better decisions in your next meeting — buy credits to start

Related reading:

• What is an AI meeting participant? (And why it's different from a note-taker)
• The small team's guide to having every expert in every meeting
• ExtraSeat vs hiring a consultant: when does each make sense?

This article is part of The small team's guide to having every expert in every meeting -- a comprehensive guide to AI meeting specialists for small teams.