Otter AI Adds Support for 27 Languages

Otter AI, a voice transcription service, has announced support for 27 new languages. This brings the total number of languages available on the service to over 30. Additionally, it has been revealed that a feature to automatically follow when speakers switch languages during conversations will be released soon.

Otter AI has primarily served English-speaking users in business and educational contexts. It is known as a tool that transcribes speech to text in real time, allowing users to record and share meeting and lecture content, with adoption leading in English-speaking regions. This multilingual support is positioned as an effort to expand the user base to non-English-speaking areas.

Confirmed facts show that 27 languages have been added, bringing the total number of supported languages to over 30. Additionally, a feature has been revealed that is under development to automatically handle conversations where multiple languages are mixed—for example, speaking in a combination of Japanese and English. This "language-switching follow-along feature" is not yet officially released but is scheduled for near-term availability.

Multilingual support is a trend accelerating across the voice AI field. As global remote work and international meetings increase, tools that support only a single language are becoming less attractive. Otter AI's current expansion can be viewed as a response to this market environment.

Particularly noteworthy is the language-switching follow-along feature. In multilingual business settings or international educational environments, the key to practical utility is not merely supporting multiple languages but being able to handle situations where speakers naturally mix languages. When this feature is officially provided, user convenience in similar scenarios is expected to increase significantly.

Future points of focus are the official release timeline of the language-switching follow-along feature and its actual accuracy. While an increase in the "number" of supported languages represents progress, how accurately the service can handle conversations with mixed languages will only be evaluated in actual usage environments. It is worth observing how Otter AI will be received in the multilingual market and how its development will unfold.