Otter.ai in 2025: user reviews and what they really say

Otter.ai is one of the best known meeting transcription software solutions, used in both professional and personal environments. But in 2025, what do users really think about this AI meeting assistant for transcription and automatic meeting summaries? Between recognized strengths and frustrating limits, user reviews and feedback paint a mixed picture. Transcription accuracy remains a key factor for this type of tool. One of the main questions concerns its precision in multilingual transcription, but also in monolingual environments when the spoken language is not English. If you want to see how this tool compares with other options, check out our complete guide to the best meeting transcription and summarization software.

Effective transcription, especially in English

Most user reviews highlight that transcription in English is Otter.ai’s real strong point. Under ideal conditions (good audio quality, quiet environment), accuracy rates of around 85 to 90% are achieved. Specialized sites like tldv.io and Sonix confirm this performance, placing it among the leaders in the English-speaking market for speech-to-text software.

On the other hand, multilingual transcription remains problematic. Despite the recent addition of Spanish and French (Otter.ai blog), users note that the tool is not able to automatically detect the language. It must be selected in advance, which complicates meetings where several languages are mixed. In such cases, the results quickly become unusable, with incoherent sentences or poorly transcribed English.

Positive feedback: ease of use and workflow integration

Despite these limits, Otter.ai enjoys a strong reputation for its ergonomics. Many users appreciate:

• an intuitive and easy-to-use interface
• synchronization with calendars (Google Calendar, Outlook)
• real-time transcription and fast editing of texts
• the ability to generate automatic meeting summaries

As Techpoint Africa points out, this is a digital note-taking tool that saves time and integrates smoothly into daily workflows, especially for English meetings.

The most common limitations

While overall reviews are positive for simple use cases, several weaknesses regularly appear in user feedback:

• Limited multilingual transcription: impossible to manage a meeting where speakers switch from one language to another. Alternatives such as Notta or Rev are often cited as better options for this use case (Notta blog).
• Unreliable speaker recognition: when several participants talk, Otter.ai struggles to assign names correctly. Feedback on Reddit confirms this issue.
• Lack of advanced features: no smooth handling of multilingual meetings, no integrated video recognition, unlike some competitor tools such as Trint or Rev transcription service.

On insight7.io, users stress that Otter remains suitable for monolingual meetings, but not for demanding international use.

Concrete examples of user feedback

Forums and social networks are full of testimonials. Among the most common:

• On Reddit, journalists judge multilingual transcription as “very poor”, with truncated sentences and random word substitutions.
• Tech professionals explain that they often need to almost completely correct transcripts when a meeting is not in English.
• Many conclude that Otter.ai is a good AI meeting assistant for English meetings, but insufficient for a truly international environment.

Conclusion: a solution for simple use, but not universal

In 2025, Otter.ai continues to be a popular transcription software for meetings and automatic note-taking thanks to its ease of use and transcription accuracy in English. But its limits in multilingual transcription and its difficulty in handling complex meetings reduce its relevance in a globalized context.

For those working mainly in English, it remains a solid choice. On the other hand, for multinational companies or polyglot teams, it is better to consider alternatives like Notta, Trint or Rev that provide better multilingual transcription and voice recognition features.