A good set of meeting notes rarely gets written during the meeting. It gets reconstructed afterward, from memory and a few bullet points. AI tools record the conversation, transcribe it, and turn the transcript into structured notes with decisions and action items. The technology works. The real question is which tool you are allowed to use when the meeting touches confidential matters: clients, patients, staff, numbers.
This comparison sorts the common approaches by the criteria that matter in practice: how it records, whether it separates speakers, where the data is processed, and what it costs to start.
Short answer: There are two approaches to AI meeting notes. Meeting bots (Otter, Fireflies, tl;dv) join your Zoom, Teams or Meet call from your calendar and transcribe automatically, which is convenient, but a third-party service sits inside the conversation. Direct recording (Wysor) captures the meeting in the room or on a device, with no bot in the call, separates the speakers, and produces structured notes. For confidential meetings, also check EU hosting, a DPA, and zero data retention. And regardless of tool, recording needs the participants' consent.
What to look for in an AI meeting-notes tool
- How it records: bot in the call, or direct recording. Meeting bots join the video call as a participant and record there. That is convenient for fully remote meetings, but it means a service sits in the conversation as a third party and the audio runs through its cloud. Direct recording captures the conversation itself, in the room or on a device, with no bot in the call. That fits in-person and confidential conversations.
- Speaker separation. Does the tool recognise who said what? Notes without speaker separation are a wall of text; with speaker separation it stays clear who made which commitment.
- Structure. Good notes are not the verbatim transcript but a sorted summary by topic, decisions and open points. A custom template keeps every set of notes consistent.
- EU hosting, DPA and zero data retention. Where is the audio processed? For confidential meetings, EU processing, a data processing agreement (DPA), and the assurance that recordings are neither retained nor used for training are not optional.
- Price and a free entry point. Is there a predictable way to start without an enterprise contract, so small teams can try it?
The approaches at a glance
The notes below rest on publicly available information as of September 2026 and can change. Check each provider's current documentation before you decide.
Otter.ai is an established meeting assistant that joins Zoom, Teams and Google Meet and transcribes live. Its focus is English-language remote meetings; according to publicly available information, processing is largely outside the EU.
Fireflies.ai is a meeting bot that joins calls, transcribes, summarises and connects to CRM and productivity tools. The bot approach is central, and the server location is worth checking before using it with confidential data.
tl;dv is a meeting recorder for Zoom, Meet and Teams with a European background and an explicit GDPR focus. For teams that want the bot approach while caring about European data protection, it is a natural option.
Microsoft Copilot in Teams produces an automatic recap with notes from Teams meetings. It requires Microsoft 365 and pays off mainly for organisations already working fully in Teams.
Google Gemini in Meet offers a "take notes for me" recap directly inside Google Meet. It requires Google Workspace and is tied to that ecosystem.
Wysor is a private, EU-hosted AI workspace. For notes, the Scribe records the conversation directly, in the room or on a device, separates the speakers, and turns the transcript into structured notes from your template. Wysor does not join video calls as a bot. Processing runs in the EU workspace, with no training on your data, zero data retention, and a DPA with each provider. That helps reduce risk, which matters for anyone bound by professional secrecy.
Comparison table
| Tool | Approach | Speaker separation | EU hosting + DPA | Free entry |
|---|---|---|---|---|
| Otter.ai | Bot in the call | yes | mostly no (check) | limited |
| Fireflies.ai | Bot in the call | yes | depends (check) | limited |
| tl;dv | Bot in the call | yes | European focus | limited |
| Copilot (Teams) | Built into Teams | yes | via Microsoft 365 | no |
| Gemini (Meet) | Built into Meet | partial | via Google Workspace | no |
| Wysor | Direct recording, no bot | yes | yes | yes |
Which approach for which need
- Fully remote teams with many video calls: a bot-based tool (Otter, Fireflies, tl;dv) is convenient because it joins automatically. For confidential content, check the server location and DPA; tl;dv leans on European data protection.
- Organisations fully inside Microsoft 365 or Google Workspace: Copilot in Teams or Gemini in Meet fit the existing ecosystem without another tool.
- In-person and confidential meetings: for advisory sessions, client and patient conversations, or internal meetings with sensitive topics, direct recording without a bot fits better. Wysor records directly, separates the speakers, produces structured notes, and processes in the EU workspace with a DPA and zero data retention.
Privacy when recording meetings
Two points are easy to overlook.
First, consent. Recording a conversation requires the participants' consent, and the rules vary by country. In the EU, inform everyone before you record. This applies regardless of tool, to bots and direct recording alike.
Second, the data path. A meeting can contain trade secrets, staff data or, for people bound by professional secrecy, protected client and patient information. A tool that sends audio to a third country, retains it, or uses it for training raises the liability risk instead of lowering it. EU processing, a DPA and zero data retention are the foundation that makes the tool choice meaningful. For a cross-provider view, see the best GDPR-compliant AI tools.
Frequently asked questions
Which AI tool is best for GDPR-compliant meeting notes? What matters is EU processing, a DPA with the provider, and the assurance that recordings are neither stored nor used for training. Tools with a European data-protection focus, or an EU-hosted workspace with direct recording, are usually more defensible than services whose server location is unclear.
What is the difference between a meeting bot and direct recording? A meeting bot joins the video call as a participant and records there, convenient for remote calls, but a third-party service sits in the conversation. Direct recording captures the meeting itself, in the room or on a device, with no bot in the call. For in-person and confidential conversations, direct recording is often the better fit.
Does AI recognise different speakers in a meeting? Yes. Tools with speaker separation attribute each contribution to the individual speaker, so it stays clear who made which commitment. Wysor separates the speakers and labels the contributions in the transcript.
Do I need consent to record a meeting? Yes. Recording a conversation without the participants' consent can be unlawful. Inform everyone before recording and obtain their agreement.
Does AI replace manual minutes? It speeds them up. AI provides the transcript and a structured draft; the review and sign-off stay with you. Notes go into the record only after you have read and confirmed them.
