Otter.ai Announces Its Biggest Multilingual Leap Yet: 27 New Languages and Multilingual Capabilities
Otter.ai, the company behind the leading AI notetaker and conversational knowledge platform, today announced the largest multilingual expansion in its history: 27 new languages, 13 available today and 14 coming soon, and multilingual transcription that recognizes and transcribes conversations as speakers move between languages, all within a single meeting.
Global teams rarely work in just one language: Capterra’s 2024 Collaboration and Productivity Survey found that 42% of international knowledge workers named language barriers as one of their top challenges when collaborating. That’s why Otter is expanding now, and why it is doing so deliberately. Unlike other notetakers, Otter’s speech models are trained, tuned, and run by Otter on its own infrastructure, not wrapped around a third-party AI service, so each new language can be built with the accuracy teams need to trust their notes.
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27 new languages
In addition to the four existing languages (English, French, Spanish, and Japanese), Otter now supports 13 new languages: Mandarin Chinese (Simplified), German, Italian, Cantonese, Korean, Portuguese (Brazil), Russian, Indonesian, Malay, Dutch, Turkish, Vietnamese, and Polish.
Fourteen more are coming soon: Swedish, Danish, Finnish, Arabic, Hindi, Thai, Hebrew, Norwegian, Greek, Macedonian, Persian, Czech, Hungarian, and Romanian. Once all are live, Otter will support a total of 31 languages.
Meetings don’t stay in one language, and neither should the transcript. Coming soon, Otter’s multilingual option will follow conversations as they unfold, transcribing accurately as participants switch between supported languages, with no manual setting changes. For example, a sales call can move from English to Portuguese to Mandarin and back without anyone pausing to change a language setting.
Because Otter builds and runs each language model in-house, it can account for what makes each one distinct. In English benchmark testing, Otter averaged 96% accuracy on the Open ASR Leaderboard. Otter also does not send your audio to third parties for processing, a commitment that has held for over a decade and now extends to every new language as it becomes available.
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A complete workflow in every supported language
Otter’s new languages work across the whole workflow, not just the transcript. Before the call, Work Mode, one of Otter’s newest capabilities, pulls past conversations and connected apps into a brief. During it, summaries, action items, speaker identification, AI Chat, and search work across supported languages. Afterward, Work Mode turns the conversation into follow-up emails and CRM updates, in whichever language the meeting happened.
“Many large international companies are already using Otter to improve collaboration and productivity for teams in different time zones and speaking multiple languages,” said Sam Liang, co-founder and CEO of Otter.ai. “We built our speech recognition in-house from the beginning, so we can build every language the right way, with leading accuracy and private audio. That’s what lets us bring 27 new languages to Otter.”
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