Best AI Note-takers for Privacy

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.

Circleback is unusually restrained. The marketing site is nearly bare and the product follows suit: what you get after a meeting is a short set of decisions and action items rather than a long document to skim. Search and questions run across every conversation you have had, and automations can fire once a meeting ends.

Its strongest suit is disclosure. The company is SOC 2 Type II and EU-U.S. Data Privacy Framework certified, commits that customer content never feeds model training, gives workspace administrators control over how long meeting data is kept, and publishes its security portal openly, including a report from an external penetration test — where a request form is the more common arrangement.

Coverage is broad, with over a hundred languages advertised and the list actually published, plus in-person recording on the individual plan. The cost is the entry price: there is no free plan to sit on, and Slack support arrives on the team tier. For a small team that wants short notes and a straight answer about security, that may be a fair trade.

Jamie's proposition is narrow and clearly stated: no bot joins your call, storage and processing are resident in the European Union, and customer content stays out of model training. For a European team with a procurement checklist, that combination answers most of the questions before they are asked.

Because it captures device audio rather than joining as a participant, it works for in-person conversations as well as online ones, and it does not depend on which meeting platform your counterpart happens to use. Meeting audio is deleted once transcription finishes, so what persists is the text.

The cost is documentation rather than capability. The documentation is the weak spot. Language coverage is advertised as over a hundred for notes and ninety-nine or more for summaries — two different figures on the same page — and no itemised list exists on any page that could be read, which leaves the filters empty for it. The documentation site refused three separate fetch attempts. Salesforce, HubSpot and similar connections arrive on the Pro tier, alongside custom and shared templates.

Intelligent recap is produced by Teams itself. Nothing joins the meeting and nothing is captured on the participant's machine — the meeting service transcribes its own call and builds the recap from that. For organisations that already record meetings, that is the least intrusive arrangement available.

The output is good: AI-generated notes and suggested tasks, speaker timeline markers, automatically generated chapters and topics, and personalised markers for when your name was mentioned. Everything lands inside Microsoft 365 where the rest of the work already is.

The catch is access. Two things stand between you and it. The first is licensing: recap needs a Microsoft 365 subscription including Teams, plus either a Teams Premium or a Microsoft 365 Copilot licence, and an administrator has to turn on transcription and recording through policy. Nobody reaches this on their own. The second is language coverage — multilingual speech recognition supports nine languages, and Dutch is not among them. On privacy the commitments are unusually concrete: data stays in your tenant's region, multi-geo is supported, and customer content is never logged or used for training.

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.

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.

Bluedot records without putting a participant in your meeting, and leads with privacy in its own marketing. That combination is becoming less rare, but the way it draws its pricing tiers still is.

Bluedot draws its tiers the other way round from the usual arrangement. Slack, Notion, Zapier and Make connections are on the free plan, while custom note templates wait until Pro and CRM and applicant-tracking integrations until Business. If your bottleneck is getting notes in front of a team rather than shaping how they read, that is the more useful way round.

Webhook access starts on the Basic tier, with organisation-wide webhooks and MCP on Business. The catch is silence on languages: Bluedot names no transcription list anywhere public, so its coverage is unrecorded here and the language filters pass it by. For a team working in English with a Slack habit and a dislike of meeting bots, it is a comfortable fit; anyone who needs a specific language should ask first.

Zoom's assistant was called AI Companion and is now ZoomMate; the old product URL returns a not-found page. Anyone comparing tools from a list written six months ago will be looking for the wrong name, which is worth knowing before you go searching.

The commercial shape is unusual and favourable. A limited set of features is included with Workplace Basic — meeting summaries for three hosted meetings a month, in-meeting questions for the same, twenty AI queries — so a Zoom user can try it without buying anything. The full product starts at twenty dollars per user per month with AI credits included.

The thing to weigh is that everything here assumes you meet on Zoom. What genuinely separates it is Zoom AI On-Prem, which deploys the AI capabilities inside infrastructure the customer controls. For regulated industries that is a different category of answer from a data-residency promise, and on-premises deployment is rare in this category. Language coverage is documented per feature rather than once for the product: thirty-two languages for meeting summary, with chat summary and call summary each carrying their own list.

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.

Granola is a desktop application rather than a meeting participant. You open it, press start, and type whatever you would have typed anyway; it listens to your microphone and your computer's audio at the same time and keeps a transcript alongside your notes. When the call ends it writes a summary from both, which is a different product from one that summarises a recording you never looked at.

The trade-off is stated plainly by the vendor: it will not join or record anything on its own. That costs you the meetings you forget to start it for, and buys you a tool that never appears in someone else's participant list. For a lot of people that is the whole argument, and it is why the free plan is worth taking seriously — it carries chat across your past meetings alongside custom note templates, a pairing most vendors hold back.

The cost is real, and it is about data rather than features. Everything is stored on AWS in the United States with no regional option, notes and transcripts are kept indefinitely unless an administrator configures otherwise, and anonymised data is used for training until you turn that off in settings. Audio itself is deleted once transcription finishes.

Fathom's pitch is that the free plan is not a trial. Unlimited recordings, unlimited storage and unlimited transcription in thirty-eight languages are all included without payment, and the vendor says explicitly that you are under no obligation to upgrade when the premium preview ends. What the free plan does limit is the advanced summaries: five calls a month, after which you get the general template.

The capture choice is the other thing worth knowing. Fathom can send a bot into the call or record without one, with the bot-free mode currently marked as being in beta. That flexibility matters because the two approaches fail differently — a bot is visible to everyone in the room, and device capture depends on the machine you are sitting at.

The catch is that the intelligence, not the recording, is what the free plan meters. Paid tiers add advanced summaries without a monthly cap, a conversational assistant, and on the business tier a CRM sync that updates records after meetings rather than simply linking back to them. Highlights can be pushed into a chat channel as the meeting happens. Mandarin is absent from the language list despite the count of thirty-eight.

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.

Avoma is built for revenue teams and priced like enterprise software. The core assistant records, transcribes in real time, and writes notes into CRM records automatically rather than dropping a link beside them. Custom AI topics and templates let you shape what the summary contains, and an API with webhooks is part of the package.

The pricing model is the thing to understand before comparing it with anything else. Analysis capabilities are sold as separate per-seat modules — conversation intelligence at one price, revenue intelligence at another, lead routing at a third — so the number on the pricing page is not what a team ends up paying. That is normal for the category Avoma is really competing in, and surprising if you arrived expecting a notetaker.

The thing to weigh is how much of this you will actually configure. Language coverage is broad, though the vendor's own page cannot agree with itself: the body says over sixty languages and dialects while the summary at the top of the same page says over seventy-five. The enumerated list is what this directory scores from. Setup takes real configuration, which is the trade for what it does once running.

Grain is aimed at teams who go back over their calls — sales coaching, customer research, anything where the recording gets watched rather than filed. The free plan carries the AI notepad with live notes, a running transcript and clip creation, which is the part of the product people actually use day to day.

Integrations are where the tiers bite. Slack delivery, a personal Zapier connection and a personal API arrive on the starter tier; HubSpot and Salesforce, workspace-level Zapier and a workspace API wait until business. That is a conventional ladder, and worth mapping against how many people will actually need the CRM connection.

The cost is not the product but what you can find out about it. Documentation is the weak point rather than the product. Grain holds a SOC 2 Type II report, released through a trust centre request rather than published, and hosts all of its software in Amazon facilities in the United States. Its support centre refuses anonymous readers entirely, so the language question could not be answered at all — an absence of access rather than of capability.

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.

Notta comes at this from transcription rather than from meetings, and the shape of the product follows. Speaker identification costs nothing, file uploads are a first-class feature rather than an afterthought, and the language list is both long and actually published — which is worth more than a large advertised number when the question is whether your language is on it.

The free plan needs reading carefully. It allows a hundred and twenty transcription minutes a month, which sounds workable, but caps each conversation at three minutes. That is shorter than any meeting it would be used for, so in practice the free tier demonstrates the product rather than running it. No payment details are required to start, which is a genuine courtesy.

The catch is that the free plan is a demonstration rather than a tool. Paid tiers lift the caps and add transcript translation on Pro and CRM and Zapier connections on Business. The vendor documents GDPR compliance. If your requirement is broad language coverage with accurate text and you are willing to pay from the outset, this is a strong fit; if you wanted to try it properly first, the three-minute ceiling will frustrate you.

Tactiq works as a browser extension rather than a participant or an application. It reads the live captions your meeting platform is already producing, which is why the transcript appears in real time and why nothing shows up in the participant list. It also explains the product's most unusual piece of documentation.

Because it depends on the platform's own speech recognition, what Tactiq can transcribe varies by where you are meeting. The vendor publishes a separate language list for Google Meet, Microsoft Teams and Zoom rather than one list for the product. That is more honest than a single headline number, and it is worth checking the list for the platform your team actually uses rather than the aggregate.

The cost is volume and dependence. The free plan allows ten transcripts a month with five AI credits, which makes it a genuine trial rather than a running tool. Pro lifts transcripts to unlimited, team tiers add sharing and centralised administration, and data retention controls arrive on Business. A HubSpot connection is documented as a self-serve setup with no plan requirement stated.

Krisp started as noise cancellation and the note-taking grew out of it. That heritage is the reason to consider it: the audio layer is the mature part of the product, with real-time noise removal, accent conversion and voice translation built for contact-centre work before anyone was writing meeting summaries.

Capture happens at the device, so nothing joins your call, and in-person meetings and outbound phone calls are covered as well as video conferences. If your problem is a noisy room or a hard-to-follow accent as much as it is note-taking, few note-takers approach the problem from that direction.

The cost is scope: as a notetaker it is narrow. The help centre enumerates sixteen transcription languages — a list without Japanese, Mandarin, Turkish or Arabic — while the product page advertises seventeen or more, and this directory scores from the enumerated list. There is no free plan to settle into, only a seven-day trial of the premium features, and the summarising and workflow features are thinner than the specialists offer.

Notion's meeting notes are worth separating from the workspace they live in. The capture model is closer to a dedicated desktop notetaker than to a suite feature: the app records the system audio and your microphone, so nothing joins the call and the other participants are not notified by a new attendee appearing.

The browser version captures only the microphone, which the documentation suggests suits in-person conversations, while the desktop app handles both sides of a video call. Either way the result is a Notion page, which is the real argument for it — if your team's notes already live in Notion, this removes an export step and a second subscription.

Customisation is genuinely open: the summary template is an ordinary Notion page you edit to define your preferred structure and instructions. The cost is commercial and informational: it requires a Business or Enterprise plan, and the languages it can handle are documented nowhere at all.

ClickUp's notetaker only makes sense as part of ClickUp. A recorder is sent into the meeting from the planner or calendar, and what comes back lands in the workspace where the team already tracks its work. If your actions end up as ClickUp tasks anyway, that removes the transcription step that usually sits between a summary and a tracker.

Setting it up is more involved than with the standalone products. An administrator or owner has to activate the notetaker before anyone can use it, and usage is bought either as part of an AI bundle on a paid plan or as a standalone add-on on any plan. That is two decisions by two people before a first note exists.

The cost is that it is a feature rather than a product. Documentation on the capture itself is thin next to the specialists. Which languages it handles is nowhere stated, so nothing is recorded on that front. For a team already committed to the platform it is a sensible default; as a note-taking product judged on its own, it is not competing with the tools that do only this.

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.

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.