I’ve been testing tidenote for a few weeks now, mostly to see if it could fix a nagging knowledge management problem: how to actually keep notes from different sources—meetings, articles, research papers—organized without spending hours tagging and sorting. I’d tried a few other ai meeting summarizers before, including beanly, but none of them made the follow-up part feel effortless. tidenote promised a different approach: capture ideas, then let AI turn the mess into summaries you can actually use later.
First impressions and the setup
Getting started was fast. The voice note feature worked right away, and I recorded a few quick meeting recaps on my phone. The app transcribes surprisingly well—even with background noise—and the summarization happens within seconds. I also imported a couple of long research articles by pasting text, and the AI generated clean summaries. No extra formatting needed. But the real test was whether these summaries would actually help me retrieve information later.
I immediately noticed something: tidenote doesn’t just dump everything into one timeline. It lets you create separate Notes and a dedicated Journal section. The Journal feels more like a daily log—good for personal reflections or quick captures. The Notes section is where I stored meeting minutes and research highlights. It’s a simple distinction, but it actually matters for knowledge management because it forces you to decide the context before you store something.
Real use cases and what worked
I used tidenote during three work meetings and two research sessions. For the meetings, I turned on the voice recorder during the call, let the AI process the audio, and reviewed the summary afterward. The summaries captured key decisions and action items accurately about 80% of the time. I still needed to edit a few points where the AI missed speaker names or misidentified an acronym. That’s a tradeoff: the summarizer saves time, but you can’t fully trust it for critical details.
For research, I fed a 12-page paper into tidenote. The AI produced a one-page summary that hit the main arguments, though it skipped some nuance in the methodology section. That’s fine for a quick scan, but if you’re doing deep academic work, you’ll want the original nearby. The app also has a feature called Anchor Text that lets you link a summary back to the original source with a highlighted snippet. That was genuinely useful—it saved me from cross-referencing manually.
Where it fits and where it doesn’t
tidenote is not a full-blown database replacement. For knowledge management across a team, you’d need more shared structures. But for personal note capture? It’s probably the best free AI note taking app I’ve seen this year (best free ai note taking app 2026—I’d put it there). The mobile experience is smooth, and the search function actually finds old notes quickly, even with the raw transcriptions.
One limitation: the free tier has a monthly recording limit. If you attend long meetings daily, you’ll hit that cap fast. The paid plan adds more hours and some advanced linking options, but it’s worth considering before you depend on it heavily.
I also played around with the 小片刻 mode—it’s a short, time-stamped capture for quick thoughts. I started using it for spontaneous ideas during walks. It’s less formal than the Notes section, but it kept me in the habit of capturing things instead of letting them fade. Not a must-have feature, but a nice addition.
Final thoughts
For anyone frustrated with scattered notes and want a tool that does the heavy lifting of summarization, tidenote is worth a trial. Keep your expectations realistic—AI summaries aren’t perfect, and the app still needs a few small workflow fixes (like batch editing tags). But as a practical entry point into better knowledge management, it’s more useful than most alternatives I’ve tried. If you’re comparing it with beanly, tidenote leans harder into capture-to-summary flow, while beanly focuses more on meeting notes. For my research-heavy use case, tidenote wins.
Comments
Leave a Comment