Otter AI Review

There are tools that build a solid reputation at just the right moment and then coast on that momentum. Otter AI is a classic example of this. Back in 2020, when the whole world switched to remote meetings overnight, Otter emerged as an almost magical solution: live transcription, Zoom integration, a clean interface. It was what everyone needed and no one had. Its reputation grew, articles on “best productivity tools” popped up featuring its name, and just like that, it became the go-to choice.

The problem is that 2026 isn’t 2020. And Otter doesn’t seem to have gotten that memo.

Starting with the most glaring issue: Otter doesn’t record video. Just audio, supplemented by static screenshots. In 2026, when virtually every major competitor in the market—whether it’s tldv, Fireflies, MeetGeek, or Notta—delivers video recording synchronized with the transcript, this is a setback that’s hard to ignore. It’s not a secondary feature. Video has become the standard. Anyone who needs to review a meeting wants to see the speaker’s face, their expression, and the slide that was on the screen. Screenshots don’t replace that.

Next comes the issue of speaker recognition, which is perhaps the most frustrating flaw in everyday use. Otter identifies participants as ‘Speaker 1’, ‘Speaker 2’, ‘Speaker 3’, and often gets even this basic attribution wrong when voices overlap or accents are stronger. The practical result is a confusing summary where you don’t know who said what, making the generated document nearly useless in meetings with more than three people. Tools like Fireflies and tldv have already solved this in a much more elegant way, by cross-referencing calendar data, user profiles, and voice patterns.

The accuracy of the transcription itself is also no longer impressive. In meetings with native American English speakers, in a quiet environment, Otter delivers something acceptable. But throw in a thicker British accent, a Brazilian participant speaking English, or simply a meeting with background noise, and the transcription starts to fall apart. In 2026, with language models evolving at the speed they are, this level of sensitivity to imperfect conditions is hard to justify.

Another point of frustration: there is no automatic language detection. The user must manually switch between English, Spanish, and French. Three languages. That’s it. In a world where global teams mix languages on the same call, this is a serious limitation. Notta, for example, supports dozens of languages with automatic detection. Comparing the two on this point is almost cruel.

The free plan deserves special mention, and not for good reasons. It offers 300 minutes per month, with meetings limited to 30 minutes each. This means that a single longer planning meeting already consumes one-sixth of your monthly quota. And the upsell starts early, with banners and pop-ups appearing before you even understand the product. It feels like the free plan exists less for you to test and more to push you toward the paid plan as quickly as possible.
Speaking of paid plans: the Pro plan costs $8.33 per user per month on the annual plan, which isn’t outrageous, but it’s also not cheap considering what you get. 1,200 minutes of recording and meetings up to 90 minutes. The Business plan costs $19.99 per user per month, and that’s where you get unlimited meetings and more advanced features. The Enterprise plan is available upon request, as usual.

Otter’s Trustpilot rating is 3.2 out of 5, with over 500 reviews. A lukewarm score. The most frequent complaints revolve around accuracy falling short of expectations, aggressive limits, and charges that catch users off guard who thought they were on the free plan. It’s not a product that generates passionate advocates, and that says a lot.

What Otter still does well—and it’s fair to acknowledge—is real-time live transcription. For those in an in-person meeting who want a basic record of what was said, in English, without much complexity, Otter gets the job done. Integration with Zoom, Google Meet, and Teams works, even if the experience of switching between the call and the transcript on a single screen is clunky. The outline and summary have a reasonable structure, but they suffer precisely from the lack of reliable speaker identification.

In the 2026 landscape, Otter AI is a tool that survives more on sentimental value than on actual competitiveness. If you need something simple and inexpensive and don’t care about video or multiple languages, it gets the job done. But if you want a modern, precise solution that truly saves you time, the market has evolved and left Otter behind.