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Best AI Meeting Note-Takers in 2026: Which Is Best?

Which Is Best?

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Best AI Meeting Note-Takers in 2026: Which Is Best?
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AI meeting note-takers can now do more than turn a conversation into text. They can join a Zoom, Microsoft Teams or Google Meet call, create a transcript, identify speakers, highlight decisions, pull out action points and produce a follow-up summary before everyone has left the meeting.

That can save a lot of admin — but it also raises an obvious question: is it actually legal to record and transcribe meetings with AI?

In the UK, it can be. The important part is being open with people, using an appropriate tool and treating the transcript as personal data rather than harmless admin.

The quick answer: which AI meeting note-taker is best?

Tool Best for Why choose it
Fathom Individuals and small teams Excellent free summaries and a simple experience for online calls
Otter.ai Searchable transcripts Strong live transcription, speaker labels and meeting search
Fireflies.ai Sales and CRM teams Built for analysing calls and sending useful data into team workflows
Granola People who still take their own notes Turns rough notes into polished, useful meeting summaries
Microsoft Teams Copilot Microsoft 365 businesses Natural option when Teams is already central to the business

Best free option: Fathom

Fathom is probably the easiest starting point for most people. It is especially useful for freelancers, agencies, recruiters and small teams who have regular client calls and want clear summaries without spending every meeting typing.

It can capture key moments, produce follow-up notes and help you quickly revisit what was agreed. The main appeal is that it feels focused: it helps with the annoying post-meeting admin without trying to become a full sales platform.

Best for transcripts and meeting search: Otter.ai

Otter.ai remains one of the best-known names in AI transcription. It can record or join meetings across Zoom, Teams and Google Meet, provide live transcription and let you search through past conversations later.

That makes it particularly useful for interviews, research, management meetings, training calls and any work where somebody may later ask, “What exactly did we agree about that?”

Otter’s free plan includes 300 transcription minutes a month, while paid tiers add longer meetings, integrations, more advanced workflows and admin controls. You can check its current features and plan limits on Otter’s pricing page.

Best for sales and customer calls: Fireflies.ai

Fireflies.ai is more sales-focused. Alongside basic transcription, it is designed to help teams review calls, spot recurring objections, identify action points and pass notes into a CRM.

For a business taking lots of discovery calls, onboarding calls or sales demos, that can be genuinely useful. Instead of each salesperson having their own patchy notes, the team gets a shared record of what customers are asking for and where deals are stalling.

Best for people who do not want a meeting bot joining every call: Granola

Not everyone likes the idea of a visible AI bot entering every meeting. Granola takes a different approach: you still write rough notes during the call, but AI expands them into a better structured summary afterwards.

That can suit managers, consultants and people who want help making sense of their notes, rather than an automatic recording of everything said.

Best if your company already runs on Teams: Microsoft Teams Copilot

If your company already uses Microsoft 365 and Teams, Copilot may be the neatest option. It keeps meeting summaries and follow-ups inside the software your team already knows, instead of adding another login and another system.

The downside is that availability can depend on your Microsoft licence, IT setup and whether your organisation has enabled the right recording and transcription settings.

Yes, they can be — but an AI notetaker does not remove your data-protection responsibilities.

A meeting transcript can include names, voices, opinions, client information, employee performance issues, commercial plans and sometimes far more sensitive details. That makes it personal data in many situations.

The safest practical rule is:

Tell everyone before the recording or AI transcription starts, explain why it is being used, and only keep the output for as long as you need it.

The Information Commissioner’s Office says people have a right to be informed about how their personal data is being collected and used, including why it is being processed, who it may be shared with and how long it will be kept. The ICO also makes clear that organisations using AI with personal data should be transparent about that use. See the ICO’s guidance on the right to be informed.

A simple compliance checklist for businesses

Before rolling out a meeting note-taker, make sure your team can answer these questions:

  • Have we told attendees that an AI tool is recording or transcribing the meeting?
  • Are we clear about why we are using it — for example, action tracking or a written client-call record?
  • Who can access the recording, transcript and summary?
  • How long will we retain them?
  • Is the tool approved by the business and set up with suitable sharing controls?
  • Are we avoiding it for sensitive HR, legal, financial or health conversations unless the right safeguards are in place?
  • Does somebody check the final summary before it becomes the official meeting record?

For a normal client meeting, a simple notification is usually far better than trying to hide it:

“Just to let you know, we use an AI note-taking tool to create a transcript and action summary for this meeting. The notes are used for follow-up and stored securely. Please let us know if you would prefer not to be recorded.”

That is good practice for trust as well as privacy. A client is much more likely to be comfortable when they understand what the bot is doing and why it is there.

You should always notify attendees, but consent is not automatically the correct legal basis in every situation.

For example, employers need to be careful relying on employee consent because there can be a power imbalance. A business may instead rely on another lawful basis, depending on why it needs the recording and how it has balanced the privacy impact.

That is why larger organisations should involve their data-protection lead, especially where recordings are routine, people are monitored, or the discussions involve sensitive information. The ICO’s AI and data-protection guidance is a useful starting point.

Why the NHS is using a similar technology for doctors

The technology you may have seen on TV is often called AI ambient scribing or ambient voice technology.

Instead of a doctor spending much of a consultation typing, the system listens to the conversation and creates a draft note, letter or summary. The clinician then reviews it, corrects anything wrong and decides what should actually go into the patient record.

It is not supposed to replace the clinician’s judgment or independently diagnose a patient. Its purpose is more practical: reduce paperwork and give doctors more opportunity to look at and listen to the patient.

NHS England has published guidance on using AI-enabled ambient-scribing products in health and care settings. It covers clinical safety, data protection, procurement, transparency and human oversight. That matters because health information is particularly sensitive, so the bar is much higher than it would be for an ordinary business Zoom call. Read the NHS England ambient-scribing guidance.

The key distinction is important: an approved, governed NHS system is not the same as a doctor casually recording a patient appointment into a public AI chatbot. In healthcare, there must be strict safeguards around patient confidentiality, security, record accuracy and clinician review.

How accurate are AI meeting summaries?

They are often good enough to save real time, but they are not perfect.

An AI tool can mishear a name, mistake one speaker for another, lose context, misunderstand jargon or turn a suggestion into something that sounds like a firm decision. This is especially likely with poor audio, people talking over each other, unusual company terminology or a mixture of accents.

For an important meeting, it is worth checking:

  • Who owns each action
  • The deadline for each action
  • Names, figures and product details
  • Contractual or commercial commitments
  • Anything HR, legal, medical or sensitive

Think of the AI output as a clever first draft, not an unquestionable official record.

Which AI meeting note-taker should you choose?

Choose Fathom if you want a straightforward free tool for everyday online meetings.

Choose Otter.ai if searchable transcripts and live transcription are the main priorities.

Choose Fireflies.ai if your team has lots of sales or customer calls and wants meeting data connected to its workflow.

Choose Granola if you prefer to keep taking your own notes, with AI helping you turn them into a better summary afterwards.

And choose Teams Copilot if your company already works heavily inside Microsoft 365 and wants to avoid adding another platform.

The real win is not simply having AI write your notes. It is having clearer actions, fewer missed follow-ups and less time spent trying to remember what a meeting was actually about.

For more practical ways to use AI without adding more chaos to your workday, read our guide to how AI assistants save time.

AskZyro Team
AskZyro Team

Our expert team of AI specialists and content creators dedicated to helping businesses leverage artificial intelligence for growth and productivity.

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