Best AI Meeting Assistants in 2026: 10 Tools Compared

Introduction

Meetings generate decisions, commitments and context, and most of it is lost because nobody has time to write it down properly, which is why an AI meeting note taker is now a common tool. AI meeting assistants try to fix that by recording or capturing audio, producing a transcript (so they double as AI meeting transcription software), writing AI meeting summaries and extracting action items. The better ones also push notes into a CRM, chat tool or project tracker.

This guide compares 10 of the best AI meeting assistants in wide use: Otter, Fireflies, Fathom, Granola, Notta, tl;dv, Zoom AI Companion, Microsoft 365 Copilot, Avoma and Sembly. It does not publish accuracy scores, because no one has a single reliable number for how accurate a tool will be on your meetings. Accuracy depends on audio quality, accents, jargon and overlapping speakers, and the percentages vendors quote are rarely independently audited. Instead, it gives you verifiable facts about plans and features, flags the legal questions around recording, and shows you how to test two or three tools on your own calls.

About the prices. Prices are list prices in US dollars. Where I could read the vendor's own page in October 2026, the tool's entry says so. Where I could not, the price comes from third-party reports and is marked "reported". Plans and limits change often, so confirm them on the vendor's page. The "best for" notes are editorial judgments based on published features, not results from hands-on testing.

Before You Choose: Recording, Consent and AI Meeting Assistant Privacy

This is the part many comparisons skip. An AI meeting tool records or captures what other people say, so consent, data handling and security matter as much as features.

• Consent laws vary. In the United States, recording rules differ by state. Reports list about a dozen states, including California, Florida, Illinois, Pennsylvania and Washington, as requiring all parties' consent, and a call that includes someone from such a state can be treated more strictly. Other countries have their own rules. This is general information, not legal advice, so check the rules where your participants are.
• A visible bot is not the same as consent. Some tools join as a named participant, which tells people something is present. Commentators note that this does not necessarily tell them what happens to the audio, where it is stored or whether it is used for model training. Tools that capture audio from your device without a visible participant raise a different question: you may still need to tell people you are recording.
• Lawsuits are pending. Reports describe class-action lawsuits against meeting-tool vendors, including Brewer v. Otter.ai, filed in August 2025, and Cruz v. Fireflies.AI (UC Today; Babst Calland). These are allegations that have not been decided, and they are a reason to get consent policies in place, not a verdict on any product.
• Check data handling. Ask where recordings and transcripts are stored, how long they are kept, whether they are used to train models, who in your organization can access them and how deletion works.
• Check compliance needs. If you handle health, legal or financial information, confirm what certifications and agreements the vendor offers. Several vendors reserve compliance features such as HIPAA support for enterprise tiers.

A practical policy is to tell participants at the start, give them a way to object, and keep sensitive discussions out of recorded tools unless you have cleared the setup. For a broader look at governance, see our guide to what AI governance is.

Quick Comparison Table

"Vendor" means I read the price on the vendor's own page in October 2026. "Reported" means it comes from third-party sources.

The 10 Tools

1. Otter

Otter records and transcribes meetings on Zoom, Microsoft Teams and Google Meet, with a searchable archive of past conversations. According to Otter's pricing page, the free Basic plan includes 300 transcription minutes a month with conversations capped at 30 minutes. Pro is $8.33 per user per month billed annually ($16.99 monthly) with 1,200 recording minutes, and Business is $19.99 annually ($30 monthly) with unlimited meetings. The page lists support for English, Spanish, French, German, Japanese and Chinese, and Enterprise includes HIPAA compliance. The limited language list and the monthly minute allowance are the main things to check if you hold many or long meetings.

2. Fireflies

Fireflies joins meetings to record, transcribe and summarize them, and it connects to many sales and productivity tools. Third-party sources report a free plan with unlimited transcription, and paid plans of Pro at $10 per user per month, Business at $19 and Enterprise at $39 when billed annually, with higher monthly prices. They also report that many advanced AI features run on a credit system with different allowances by plan, so check how credits are consumed before you rely on features such as AI queries. Fireflies' own pricing page did not show prices when I read it, so confirm the details on fireflies.ai. Note the pending lawsuit mentioned above.

3. Fathom

Fathom is known for a free plan that, according to Fathom's pricing page, includes unlimited recordings, transcriptions and AI summaries. Paid plans add more: Premium is $16 a month annually ($20 monthly) and adds advanced summaries, action items and a conversational assistant. Team is $15 per user per month annually ($19 monthly, two-user minimum) and adds collaboration features, and Business is $25 annually ($34 monthly) and adds CRM syncing, deal views and coaching metrics. It suits individuals and small teams who want to start at no cost.

4. Granola

Granola takes a different approach: it is built as a notepad that you type into during a call, then enhances your notes with transcript context. It is reported to capture audio from your device without joining as a visible participant, which some people prefer for client conversations. That raises the consent question above. According to Granola's pricing page, the free Basic plan has a 30-day history limit, Business is $14 per user per month with unlimited notes and history and integrations such as Notion, HubSpot and Zapier, and Enterprise is $35 per user per month with SSO and HIPAA compliance. The page lists desktop, iOS, Android and Apple Watch apps.

5. Notta

Notta is a transcription-focused tool for live and recorded meetings. According to Notta's pricing page, the free plan includes 120 minutes a month with recordings up to 3 minutes, Pro is $8.17 a month billed annually with 1,800 minutes, and Business is $16.67 a month annually with unlimited transcription. It supports Zoom, Google Meet, Microsoft Teams and Webex. Notta markets broad language support, so check the current language list for the languages you need.

6. tl;dv

tl;dv records, transcribes and summarizes calls and is often considered by sales and customer-facing teams. Its pricing page was unavailable to me, so I can't give verified prices or limits. Third-party sources describe a free plan with limits on AI features and recording retention, so read the current terms before you commit.

7. Zoom AI Companion

If your meetings are on Zoom, AI Companion is built in. According to Zoom's pricing page, Pro is $14.16 per user per month billed annually ($16.99 monthly) and Business is $18.33 annually ($21.99 monthly). On the free Basic plan, meeting summaries are limited to 3 hosted meetings a month, while Pro and higher plans include unlimited summaries and queries. It doesn't add a separate vendor, but it is tied to Zoom. See also our comparison of productivity software for small businesses for how Zoom fits among other tools.

8. Microsoft 365 Copilot

For teams on Microsoft Teams, Copilot can summarize meetings and draft follow-ups across Outlook, Word and other Microsoft 365 apps. Reports say Microsoft 365 Copilot Business is $18 per user per month through December 31, 2026 (standard price $21) for organizations up to 300 users, and that the enterprise Copilot add-on is $30 per user per month on top of an eligible Microsoft 365 subscription. Microsoft's documentation indicates that intelligent meeting recap requires either a Teams Premium or a Copilot licence. Check Microsoft's Copilot pricing page for the current terms. It makes most sense when your organization already lives in Microsoft 365 and uses Teams for meetings.

9. Avoma

Avoma is aimed at sales and customer success teams that want meeting notes, coaching and deal tracking in one place. According to Avoma's pricing page, Startup is $19 per seat per month billed annually ($29 monthly) for up to 25 seats, Organization is $29 annually ($39 monthly) for up to 100 seats, and Enterprise is $39 annually with a 10-seat minimum. Conversation intelligence and revenue intelligence are add-ons at $29 per seat per month annually. The page lists transcription in 70+ languages and a 14-day trial. It is more tool than a team needs if all it wants is simple notes.

10. Sembly

Sembly focuses on turning meetings into notes, tasks and documents. According to Sembly's pricing page, there is a free trial, Basic is $10 a month annually with unlimited capture and transcription in 45+ languages, Pro is $20 per user per month annually, and MAX is $30 per user per month annually, which includes HIPAA compliance. Check the credit and history limits on each tier, since they affect heavy users.

How to Test Accuracy on Your Own Meetings

Because accuracy depends on your audio and vocabulary, the best test is your own. This takes a couple of hours:

1. Pick two or three tools and use their free plans or trials.
2. Record the same meeting with each, or run the same recorded file through each where the tool allows uploads.
3. Pick a sample of about five minutes that includes your usual conditions: several speakers, jargon, names and some interruptions.
4. Compare the transcripts with what was actually said. A common measure is word error rate: the number of wrong, missing or extra words divided by the total words in the correct transcript.
5. Check the summary, not just the transcript. Does it capture decisions and action items correctly, with the right owners?
6. Check the extras you need, such as speaker labels, language support, search and integrations.
7. Check the costs at your volume, including minute limits, storage and credits.

Matching the Tool to Your Situation

These are judgments based on published features, not test results.

• Individuals and freelancers: start with the free plans of Fathom, Otter or Granola, and see which fits how you work.
• Client-facing consultants worried about a visible bot: look at tools that don't join as a participant, but think carefully about consent, and tell people you are recording.
• Sales and customer success teams: consider Avoma, Fireflies, Otter or Fathom's Business plan, depending on CRM needs.
• Zoom-first organizations: use Zoom AI Companion before adding another vendor.
• Microsoft 365 and Teams organizations: evaluate Copilot, and compare its cost with a dedicated tool.
• Multilingual teams: check each tool's language list for the languages you actually use. Otter supports six, while Avoma and Sembly list 70+ and 45+.
• Regulated work: require the vendor's compliance documentation, consider enterprise tiers and involve legal or security staff.

How to Estimate Cost for a Team

Plan prices alone mislead, so calculate the real cost:

1. Count the people who will use it, not everyone in the company.
2. Multiply the per-seat price by the number of seats and by 12 for annual billing.
3. Add features you need that cost extra, such as CRM sync, AI credits or add-on modules.
4. Compare with the tool you already pay for. Zoom's summaries and Microsoft's recap features may overlap with what you would buy.
5. Estimate the value: time saved on notes and follow-ups, using your own numbers. Our guide to measuring AI ROI shows how to set a baseline and compare.

A Feature Checklist for Meeting Assistants

Feature lists look similar across vendors, so decide in advance which items matter to you. This checklist is a practical aid, not a vendor-neutral standard.

Capture

• Which meeting platforms does it support: Zoom, Google Meet, Microsoft Teams, Webex, or in-person audio?
• Does it join as a visible participant, capture audio from your device, or take uploaded files?
• Can it capture meetings you don't host?

Transcript quality

• How does it handle accents, jargon, names and overlapping speakers? Test this yourself.
• Does it label speakers, and can you correct labels?
• Which languages does it transcribe, and does it translate?

Summaries and actions

• Are summaries structured, for example decisions, action items and owners?
• Can you use templates or change the format for different meeting types?
• Can you edit summaries before sharing?

Search and sharing

• Can you search across past meetings by keyword or question?
• Can you share clips, notes or action items with people who weren't in the meeting?
• Does it push notes to your CRM, project tool or chat app, and which ones exactly?

Admin and security

• Can an administrator control who can record, where data is stored and how long it is kept?
• Is there single sign-on, audit logging and data deletion on request?
• Which compliance documents does the vendor provide?

Cost

• How are minutes, storage, history and AI features limited on each plan?
• Which features are add-ons?

Writing a Meeting Recording Policy

If your team will use an AI meeting tool, write a short policy so people know what to do. A practical outline:

1. When recording is allowed. For example, internal project meetings with an announcement at the start, and never in one-on-one performance or HR conversations unless specifically approved.
2. How to tell participants. State at the start of the meeting that an AI tool is recording or taking notes, and put a note in the invitation.
3. How participants can opt out. Explain how someone can ask that the tool be turned off or that a section be removed.
4. External meetings. Ask for explicit agreement from clients, candidates and other outside participants, and respect any rules they have.
5. Sensitive topics. Decide which meetings, such as legal, medical, financial or personnel discussions, must not be recorded by an AI tool.
6. Who owns and can see the notes. State where summaries are stored, who can access them and how long they are kept.
7. Review and correction. Require that important summaries be reviewed before they are shared or acted on.
8. Which tools are approved. List the tools staff may use, so people don't install their own.

Have legal or compliance staff review the policy, especially if you operate in several jurisdictions.

Using Summaries Well

An AI summary is a draft. These habits make it more useful and less risky.

• Read it soon after the meeting, while you still remember what was said.
• Check decisions and numbers. Summaries sometimes attribute a statement to the wrong person or alter a figure.
• Confirm action items with their owners, and add deadlines if the tool didn't capture them.
• Remove what shouldn't be shared, such as sensitive side comments.
• Store the final version somewhere your team will look, instead of leaving it only in the tool.
• Keep the transcript for reference, but don't rely on it as an official record unless your policy says so.

For guidance on where meeting outcomes should go, see our article on email vs team chat.

Vendor Questions for Security and Privacy Review

If your organization has a security or procurement process, these questions give you a starting list:

• Where are recordings, transcripts and summaries stored, and in which regions?
• How long are they retained by default, and can we change that?
• Are our meetings used to train any models, and can we opt out?
• Who at the vendor can access our data, and under what conditions?
• How do we delete data, and is deletion confirmed?
• What encryption is used in transit and at rest?
• Which certifications or independent assessments does the vendor hold, and can we see the reports?
• How does the product handle participants who do not consent?
• What happens to our data if the vendor is acquired or shuts down?

The last question matters in a market that changes quickly. The Play.ht shutdown in the voice-generation space, covered in comparisons of AI voice tools, is a reminder that services can disappear, so keep your own copies of important notes.

Rolling Out a Tool to a Team

A short, structured trial reduces surprises. This plan is a suggestion, not a standard.

Week 1: Choose and prepare. Pick two tools, agree the recording policy, and select a pilot group and meeting types.

Week 2: Test in real meetings. Use each tool in comparable meetings, and note transcript quality, summary usefulness and any consent concerns.

Week 3: Compare. Ask the pilot group what saved time, what needed correction and what they would change. Check costs at your expected volume.

Week 4: Decide. Choose a tool, write down the settings, such as retention and sharing, and share the policy and short training with the wider team.

After launch. Review usage and complaints after a month, then every quarter. Cancel unused seats.

Common Mistakes

• Trusting vendor accuracy claims. Test on your own audio.
• Recording without consent. Tell participants, give them a way to object and follow the rules where they are.
• Ignoring data handling. Check storage, retention and training policies before you roll out a tool.
• Choosing by free-plan size alone. Check the limits that matter, such as history, AI summaries and exports.
• Overlooking existing licences. You may already pay for summaries in Zoom or Microsoft 365.
• Not agreeing on where notes go. Decide where summaries and action items are stored so they are used, not lost. For guidance on channels, see our article on email vs team chat.
• Skipping a pilot. Run a short trial with a real team and real meetings.

Frequently Asked Questions

What is the best AI meeting assistant? There is no single best one. Fathom's free plan is a common place to start, Otter is known for search and CRM sync, Avoma and Fireflies for sales workflows, Granola for notes without a visible bot, and Zoom and Microsoft's own tools for teams already on those platforms. Test two or three on your own meetings.

Which AI meeting assistant is the most accurate? It varies with your audio, accents, jargon and number of speakers, and vendors' accuracy percentages are not independently audited. Run the same sample through several tools and compare.

Are there free AI meeting assistants? Several have free plans with limits: Otter (300 minutes a month), Fathom (unlimited recordings), Granola (30-day history), Notta (120 minutes a month), and others. Free plans typically limit minutes, history or AI features.

Do I need to tell people I'm recording? Often yes. Recording and consent laws vary by place, and some require all participants' agreement. Tell participants, give them a chance to object and check the rules that apply. This is not legal advice.

Are AI meeting assistants secure? It depends on the vendor and plan. Check where data is stored, how long it is kept, whether it is used for model training, who can access it and which compliance options exist. Features such as HIPAA support may be limited to enterprise plans.

Can I use one tool across Zoom, Google Meet and Microsoft Teams? Many third-party tools support all three, such as Otter, Fathom and Notta. Zoom's and Microsoft's own assistants are tied to their platforms.

Which tool is best for CRM integration? Tools aimed at sales, such as Avoma, Otter and Fathom's Business plan, offer CRM connections, but the exact integrations differ by plan, so check the one you use.

Do AI meeting assistants replace human note-takers? They can reduce routine note-taking, but summaries can miss context or get details wrong. For legal, medical or high-stakes meetings, review the output and consider human transcription.

How much do they cost? From free to roughly $10-$30 per user per month for most paid plans, with enterprise and sales-intelligence plans costing more. Check the real cost at your team size, including add-ons.

What is a bot-free meeting assistant? It is a tool that captures audio on your device instead of joining the call as a separate participant. That can feel less intrusive, but you may still need to tell people you are recording.

Conclusion

The right AI meeting assistant depends on your platform, your privacy and consent needs, your budget and the quality of your audio. Start with the legal and privacy questions, shortlist two or three tools, test them on your own meetings, and calculate the real cost at your team size. A short pilot will tell you more than any ranking.

Sources

• Otter, Pricing
• Fathom, Pricing
• Granola, Pricing
• Notta, Pricing
• Avoma, Pricing
• Sembly, Pricing
• Zoom, Pricing
• Microsoft, Copilot pricing
• UC Today, Otter.ai on Trial, and the AI Notetaker Industry with It
• Babst Calland, Eavesdropping by Algorithm: Legal Risks of AI Meeting Assistants
• Prices marked "reported" came from third-party sources and should be confirmed on each vendor's own site: Fireflies, tl;dv