AI Note-takers That Join Meetings Automatically

Fireflies sends a recorder into the meeting and gets out of the way. It can be invited to a single call or set to join everything on your calendar, and once it is running the output lands wherever you have pointed it — a chat channel, a CRM record, or another system through the API.

What makes it worth a close look is where the paywall sits. Unlimited transcription, unlimited summaries, live notes, meeting search, the assistant that answers questions about past calls, and API access are all on the free plan. The cap is storage rather than usage: four hundred minutes of recordings for the whole team, after which older meetings have to be deleted to make room. Paid tiers raise that and add integrations, conversation analytics and administrative controls.

The thing to weigh is what happens to the data afterwards. The vendor states that meeting data never feeds AI model training and describes a zero-day retention arrangement with its own vendors. It holds SOC 2 Type II and GDPR, and HIPAA with a business associate agreement on the enterprise tier. Custom data retention is an advanced-tier control rather than a default.

tl;dv is built in Europe and it shows in the choices it offers. The security page states that customers can choose whether their AI is hosted in Europe or the United States, that the company is GDPR-compliant for all users, and that no customer data is used to train the AI models it works with. Those three together answer most of what a procurement review asks about privacy before it is asked.

The product itself is organised around clips. Rather than producing one summary and leaving you to scroll a transcript, it is designed for cutting the useful ninety seconds out of an hour and passing it on. That suits recruiting, user research and sales review more than it suits a weekly team call.

The catch is disclosure rather than capability. The free plan carries unlimited transcription in over thirty languages, with recordings deleted after three months. Paid tiers add custom note templates, search across the whole transcript archive, an API with webhooks and an MCP server, and CRM field mapping. The language count is advertised rather than enumerated: the vendor's own language page reads as marketing, offering coverage "from Portuguese to Mexican", and Mexican is not a language.

Read AI produces a meeting report rather than a set of notes. Alongside the transcript and summary it measures engagement and sentiment, breaks the dialogue out by speaker, and shows an in-meeting dashboard while the call is still running. Whether that is insight or noise depends entirely on what you are trying to do with it.

Coverage is a strength. Twenty-six languages are enumerated for meeting reports, and in-person meetings, live events and mobile capture are all documented rather than implied. The one documented limit is mixed-language meetings, which the vendor says are not fully supported and may produce inconsistent results.

The thing to weigh is location. On privacy it sits in the middle, honestly documented. Data is stored encrypted in an Amazon data centre in Northern Virginia, with other locations available only by arrangement through the sales team. Retention is genuinely in the user's hands: you choose whether audio and video are saved for playback, and if you decline, nothing beyond what is needed to produce the report is retained. Premium integrations covering Salesforce, HubSpot and webhooks sit on a paid tier.

MeetGeek does not make you pick a capture philosophy. The free plan lists recording through a joined meeting and no-bot recording through a browser extension and desktop app, which means the choice can be made per meeting rather than at purchase. That flexibility is rarer than the marketing in this category suggests.

The free tier is genuinely capable: three hours of transcription a month, transcription in over a hundred languages with a published per-language table, unlimited summaries, global search with AI chat, and API and MCP access. Storage is where it bites, with transcripts kept three months and audio one. Paid tiers raise the hours and storage and add meeting templates.

The thing to weigh is the default posture. The recorder joins meetings on its own, and the documented control is a rule for excluding meetings rather than a switch for including them — which tells you the default posture. On security the company holds SOC 2 Type II and hosts on Amazon infrastructure. Automatic language detection, useful if your meetings are not all in one language, is reserved for paid users.

Otter has been doing this longer than almost anything else in the category, and it shows in the parts that are hard to rush: the live transcript is genuinely usable while a meeting is running, speaker identification is on the free plan, and chat that reaches across past meetings is too.

Two things deserve care before choosing it. The first is languages. Otter transcribes English, Spanish, French, German, Japanese and Chinese, and nothing else — its help centre answers a direct question about Portuguese with a flat no. For a team that meets in one of those six that is irrelevant; for anyone else it rules the product out entirely, and the figure is easy to miss because the marketing does not lead with it.

The thing to weigh is training. The vendor states that it de-identifies user data before using it to train its own models, while separately confirming that its AI service providers do not train on customer content. Both statements are true and they answer different questions. Retention is a thirty-day trash bin rather than a configurable policy, and the API arrives only on the enterprise tier.

Fellow treats a meeting as something with a beginning rather than only a recording. Agendas, notes and follow-ups sit in one place, and the AI recap is attached to a structure rather than produced in isolation. For recurring meetings — one-to-ones, team syncs, anything with continuity — that changes what the notes are for.

Templates are a real part of the product: purpose-built AI note templates for one-to-ones, sales calls, project syncs, interviews and all-hands, with custom templates you can author yourself. Organisation-wide templates arrive on the business tier, along with multi-calendar sync on enterprise.

The privacy position is stated plainly: Fellow never trains its AI on customer data, and offers granular recording policies for controlling what is captured and when. The cost is a gap in disclosure: no transcription language list exists publicly, leaving coverage unrecorded and the entry outside the language filters. For an English-speaking team that is immaterial; for anyone else it is worth asking before committing.

Google's note-taking runs inside Meet and needs no extra tool. Where an organisation is already on Workspace and an administrator has enabled it, notes can start automatically for chosen meetings and land beside the calendar event without anyone doing anything.

The consent handling is the standout. An administrator can require all participants to give explicit consent before the feature is used, and the setting is off unless deliberately turned on. In a category where the etiquette of recording is still unsettled, having that enforced by the platform rather than by convention is worth something.

The cost is coverage, and it is more restrictive than its reputation suggests. The feature is generally available in English only; French, German, Italian, Japanese, Korean, Portuguese and Spanish are offered to beta users. It handles one language per meeting, and the documentation states plainly that multiple languages spoken in the same meeting are not currently supported. It also requires an eligible Workspace edition or Google AI plan, and a work or school account.

Slack's huddle notes cover a meeting the rest of this directory largely ignores. A huddle is not on anyone's calendar, has no invitation for a bot to accept, and is over before a recorder could be arranged. Having Slack take the notes itself is the only practical way that conversation gets written down.

The mechanics are deliberately light. Any member of a channel can set AI notes to start automatically there, unless an owner or administrator has restricted the feature. The notes appear in the channel, which means they are found by the people who were in the huddle rather than filed somewhere that needs remembering.

The cost is scope, and it is the right way to see this one. Judged as a meeting notetaker it is narrow. It is available on paid Slack plans, says nothing anywhere about which languages it handles, and produces a summary with action items rather than the transcript, templates and search the specialists provide. It is a useful capture of a conversation type that otherwise vanishes, not a replacement for a tool that covers scheduled calls.