I spend a lot of time comparing meeting tools, but one question is surprisingly easy to overlook: what happens when the meeting isn't online?
A lot of AI meeting software was originally designed around Zoom, Google Meet, or Microsoft Teams. That's where I first noticed a meaningful difference between Fathom and MeetingMinutes.
Fathom is a strong option for people whose meetings happen primarily online. It connects with calendars and supports Zoom, Google Meet, and Microsoft Teams, with automatic recording and AI-generated summaries. Its current desktop experience runs on Mac and Windows.
MeetingMinutes takes a more mobile, recording-first approach, which becomes interesting when everyone is sitting around the same table.
Where Fathom Makes More Sense
If most of my workday happens inside video calls, Fathom has a very logical workflow.
It can automatically capture scheduled meetings, produce transcripts and summaries, and identify action items. Its Team Edition also provides multiple summary templates and follow-up email generation.
That makes it particularly attractive for sales teams, customer-success teams, and remote companies where meetings already happen through supported video platforms.
But there is an important limitation for my use case: Fathom's previous experience does not natively support ordinary face-to-face meetings. Its official documentation says the workaround requires putting a laptop in the room, and it cannot distinguish multiple people speaking in the same physical room in that setup.
Fathom is adding iOS in-person capture, but its documentation currently describes that as an upcoming feature rather than the established workflow.
Where MeetingMinutes Fits Better
This is where I found MeetingMinutes more interesting.
Instead of starting with a video-conferencing platform, it starts with the recording itself. I can use it for an in-person meeting, lecture, interview, or conference without first creating a Zoom or Meet session.
Its real-time transcription converts speech into text, while AI voice recognition can distinguish multiple speakers and automatically label them.
For standard Mandarin, MeetingMinutes reports transcription accuracy of up to 98%. It also supports 52 languages and more than 20 dialects, which gives it a broader recording use case than a typical English-first meeting workflow.
I also like that the recording doesn't have to end with a transcript. MeetingMinutes provides 50+ meeting-summary templates and can turn recorded information into structured notes, Excel files, PowerPoint presentations, and mind maps.
For face-to-face meetings, another practical difference is offline recording. The local recording engine can preserve audio when the network is weak or unavailable.
I would choose Fathom if nearly all of my meetings happen through Zoom, Google Meet, or Microsoft Teams and I want an automated meeting assistant integrated into that workflow. Its online-meeting experience is clearly its strength.
I would lean toward MeetingMinutes when my work includes physical meetings, interviews, lectures, field recordings, or long offline sessions.
The distinction isn't really about which product has “better AI.” It's about the environment in which the AI needs to work.
For a remote sales call, Fathom makes a lot of sense.
For a conference-room conversation where five people are sitting around a table, I find the MeetingMinutes approach more practical.
One is built around the meeting platform. The other is built around the meeting itself.
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