What I like best about Otter.ai is its exceptional accuracy in real-time automated transcription and seamless workflow integration. The tool excels at live speaker identification and generates highly coherent automated summaries directly after meetings. Its smooth integration with video conferencing platforms like Zoom and Google Meet allows our team to focus entirely on discussions without worrying about manual note-taking, making review and follow-up tasks fast and organized. Review collected by and hosted on G2.com.

What I dislike most about Otter.ai is that its transcription accuracy drops considerably when handling specialized industry terminology or strong non-native accents, requiring extra post-meeting editing. Furthermore, the free plan has fairly tight monthly limits, and navigating or editing lengthy transcripts in the web interface can feel somewhat clunky when multiple speakers overlap frequently. Review collected by and hosted on G2.com.

AI Meeting Notes has changed the way I run discovery calls because I can stay focused on how the prospect answers, instead of scrambling to capture budget, competitors, dates, technical concerns, and names while the conversation keeps moving. Live Transcription and Speaker Identification give me enough context to review the call afterward without relying on memory, and AI Chat is especially helpful when I need a precise answer rather than yet another generic summary. For example, I might ask which implementation concern came up, who sounded like the economic buyer, or what we actually committed to before the next meeting. Being able to query both the current conversation and previous meetings is particularly valuable on longer sales cycles, where important details end up scattered across several calls. AI Meeting Workflows are more useful to me than a simple recap because they pull deal information into a repeatable structure and help prepare follow-up actions. On an enterprise opportunity, we ended a call with several technical requests and a shift in timing, and having the summary, action items, and CRM-ready context already organized saved me from having to rebuild the entire conversation at the end of the day. Review collected by and hosted on G2.com.

Otter is expanding quickly into agents, workflows, MCP, and more connected sources. That opens up a lot of possibilities, but it can also turn what used to be a simple meeting-notes tool into another system that needs real governance. For a sales team, I think it works best when Sales Ops maintains a small set of reliable templates and workflows, rather than letting every AE invent their own process. Otherwise, the automation can end up creating as much inconsistency as it removes. Review collected by and hosted on G2.com.

I like that Otter.ai does the bare minimum of creating a transcript of what is being said. Review collected by and hosted on G2.com.

Otter.ai is really falling short in a lot of areas. The transcriptions are pretty inaccurate, and a ten-minute audio can take three times as long to fix because so much of it is wrong. The software often splits one speaker into multiple ones with any slight change in voice tone. It totally misses the mark with grammar and punctuation, and even a slight accent can throw it off, it will miss parts of the conversation entirely. If it's beyond a one-minute monologue, it can't get anything right. Updates often make things worse, changing how features work without notice and breaking usability. Otter gives to the option to give feedback and I've left negative feedback multiple times, but nothing's changed for the better in over a year. Organization is another issue; there are no sub-folders, so conversations are just randomly scattered on a page, making it hard to find anything without a good search. If it gets a transcription wrong, there's no easy way to correct it other than doing it manually myself. Plus, it's overpriced for what it offers. I even got charged for an additional team member mistakenly added to my account without any prior notice. It's quite frustrating overall. Review collected by and hosted on G2.com.

I appreciate how well Otter.ai handles asynchronous collaboration. It stands out by transforming live conversations into searchable, shareable knowledge bases for people who weren't in the room. I like its Slide Capture Integration, which automatically captures high-resolution screenshots of slides during meetings and aligns them with the timestamped transcript. The "Catch-Up" & Cross-Meeting Chat features are also impressive, allowing me to catch up on missed discussions and query AI for decisions made in past meetings. The initial setup was not complex and quite friendly, which is always a plus. Review collected by and hosted on G2.com.

I find Otter.ai has limitations with language support, as it operates almost exclusively in English, which makes it struggle with non-English conversations, code-switching, or multilingual team meetings. Additionally, I notice a drop in accuracy when dealing with complex audio situations like heavy regional accents, technical jargon, simultaneous cross-talk, or poor microphone quality. It heavily relies on user-managed 'Custom Dictionaries' to transcribe industry terms correctly. Review collected by and hosted on G2.com.

The utility and ease of use allow for the simple recovery and review of talks, videoconferences, webinars, etc. By connecting with Gmail and Zoom, it allows you to use this tool across platforms. The capture of conversations and video calls is very comprehensive, and it makes few capture errors. I use the free version and it still meets expectations. Review collected by and hosted on G2.com.

At first, it's hard to get used to the screen and fully understand the functionalities, but after that, the use becomes quite natural. So far, what I see it struggles with the most is identifying voices and matching them with participants, something I believe will improve over time. But you can "tag" a speaker's name, and then it replicates it in all their interventions. Review collected by and hosted on G2.com.

What I like best about Otter.ai is how seamlessly it handles real-time transcription and generates concise automated summaries. It allows me to stay fully engaged during client calls and meetings without having to worry about taking manual notes. Review collected by and hosted on G2.com.

What I dislike most is that the transcription accuracy drops when dealing with heavy background noise, multiple speakers talking over each other, or strong accents. It often requires manual editing afterward to fix speaker labels and technical jargon. Review collected by and hosted on G2.com.

- Otter.ai automatically transcribes meetings and converstaions, saving me hours of taking note-taking every week.

- I can highlight key points, add comments, and easily share transcripts with my team, which keeps everyone on the same page.

- The serach feature helps me quickly find past topics, and i even use it to record personal ideas or reminders.

- Very helpful in interview processes. Review collected by and hosted on G2.com.

- Transcriptions are not always accurate, requires manual corrections. Improving accuracy for these cases would save time.

- Processing very long recordings can be slow. Faster handling of large files would improve efficiency. Review collected by and hosted on G2.com.

I love how otter records the meeting summarizes it and also if you ask it to it will highlight the key points of the meeting. It also has a timestamp of what was said and by who. Review collected by and hosted on G2.com.

i would say in meetings with multiple people, Otter can struggle to distinguish between voices. It might mislabel speakers or treat one person as two, which makes reviewing the transcript confusing sometimes. Review collected by and hosted on G2.com.

When I was running meetings with multiple people, keeping track of everything discussed for the meeting minutes was becoming increasingly difficult. Using Otter.ai to record the meetings, distinguish between different speakers, and generate summaries with clear action items has streamlined my workflow. It’s now much easier to stay on top of what was said and what needs to happen next, and I can work more efficiently as a result. With Otter.ai's ability to manage vocabulary, I was able to insert various terms and nicknames that we use in house, and Otter was quickly able to learn these words, eliminating further transcript editing. Review collected by and hosted on G2.com.

I’ve noticed that when I use Otter.ai during conference talks, it doesn’t always distinguish clearly between different speakers. It also frequently assigns the wrong name to a voice, so I end up spending more time than I’d like going back and editing the transcript. Review collected by and hosted on G2.com.

I appreciate that Otter automatically connects with us for our content sprints every week via Zoom calls. I can extract verbatim quotes for LinkedIn carousels and TikTok scripts without having to re-watch. This saves me an average of three hours per week with a searchable transcript. Review collected by and hosted on G2.com.

The speaker identification defaults to "Speaker 1" whenever our freelance writers join from their phones. In addition, any overlap in brainstorming sessions results in cluttered transcripts. Review collected by and hosted on G2.com.