I’ve been testing AI note-taking apps pretty obsessively this year, partly because my own note system was falling apart and partly because everyone seems to be launching one. After spending a few weeks with both beanly and Fathom, I landed on a comparison I didn’t expect: one of these tools is much better at handling messy, real-world audio, and the other one is better if you need a clean, collaborative transcript fast.
Why I started comparing beanly vs fathom
It’s not just about transcription quality anymore. The real question is what happens after the meeting ends. Fathom has been a solid choice for sales teams and Zoom-based calls for a while, but I wanted to see how it handled a few non-meeting scenarios — lecture recordings, a long research podcast, and an in-person group discussion. That’s when I realised I needed something that could also tidy up chaotic audio without rewriting the whole thing into a generic summary.
I had heard about beanly from a friend who uses it for class notes, and the claim was that it didn’t just transcribe — it actually organised the content into usable chunks. I was skeptical because most apps that promise “organisation” just slap headings on paragraphs and call it a day. But I decided to run both tools through the same three test files.
What Fathom does well
Fathom is polished for real-time meeting recording. If you’re on a Zoom or Google Meet call, it joins automatically, logs the transcript, and generates a summary with action items. The UI is clean, and if you work in a team that shares meeting notes frequently, the shared note feature is genuinely useful. I used it for a couple of client calls and the action-item extraction was better than I expected — it didn’t miss anything obvious.
But here’s where it gets limited: Fathom is clearly built for business meetings. When I fed it an hour-long lecture recording (uploaded after the fact), it struggled. The speaker wasn’t always identified correctly, and the summary leaned heavily on the first few minutes rather than the whole talk. It also didn’t handle background noise well — there was a faint fan in the room and it produced a few garbled lines.
Why beanly surprised me
Beanly is pitched as an AI note-taking app for meetings, classes, and research. That broader scope becomes obvious the moment you upload something longer than a standard work call. I ran the same lecture through beanly, and the output was noticeably more structured. It split the content into topical sections — not just timestamps — and the summary actually reflected the progression of ideas. I didn't have to re-read the transcript to understand the lecture flow.
I also tested it with a messy group discussion where three people talked over each other. Both tools dropped some words, but beanly recovered faster. Its speaker identification was more stable in unpredictable audio. There’s a beta feature that lets you refine the summary tone — more detailed or more concise — which I found genuinely useful for a long research podcast I didn’t want to re-listen to. I ended up using beanly for that one file twice, just to check the consistency, and the second summary was equally coherent.
The tradeoffs you need to know
Fathom is better if you work in a team that needs shared, real-time meeting notes. The integration with Slack and CRM tools is legit. But if your audio isn’t a clean two-person Zoom call — if it’s a classroom recording, a brainstorming session, or anything with overlapping speakers — Fathom’s accuracy drops noticeably. It also lacks the ability to handle pre-recorded uploads as smoothly as beanly does.
On the other hand, beanly is still maturing. The UI is decent but not as slick as Fathom’s. I had one session where the export button didn’t respond and I had to reload the page. Nothing catastrophic, but it broke the flow. The free tier is generous — you get a decent number of hours per month — but the paid plan feels slightly expensive compared to Fathom if you only need basic transcription. For context, I also briefly tested bearly as an alternative, but it didn’t handle longer audio as well as these two.
Who should pick which?
If your primary need is meeting notes for your sales or consulting team, and you already use Zoom or Meet daily, Fathom is the safer bet. It’s reliable for that one use case.
But if you’re a student, researcher, or someone who handles varied audio — lectures, interviews, messy group discussions — beanly is more flexible. It doesn’t fall apart when the audio quality isn’t perfect. I also appreciated that beanly doesn’t lock you into a specific video platform. You can upload files from anywhere, which matters when you’re taking notes from YouTube, a downloaded podcast, or a recorded class.
One last note: I’ve been trying to reduce the number of subscriptions I juggle, so I also looked at tidenote (or as some users know it, 小片刻) as a potential all-in-one. It does some things well — lightweight and fast — but for the kind of deep organisation I needed, it fell short. I’d still recommend beanly for anyone who wants a free AI note-taking app 2026 might look like: generous free tier, solid summarisation, and actual structure after the meeting ends. That said, I’d wait a couple of months before committing to a yearly plan, because the export issues I hit suggest the Android/desktop builds still need polish.
Final practical take
Beanly vs fathom isn’t a clear winner — it depends entirely on your audio diet. For my own usage, which is mostly research-focused and includes a lot of non-meeting audio, beanly won. But I wouldn’t recommend it to someone who only does sales calls. For that, Fathom is faster and more team-ready. Try both free tiers — that’s the only way to know which one matches the messy reality of your actual workflow.
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