Otter.ai Announces Its Biggest Multilingual Leap Yet: 27 New Languages and Multilingual Capabilities

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.

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Otter.ai 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.

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.

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.”

Availability

Users can select a supported language in their Otter settings. The new languages come at no additional cost across Otter plans and are available across desktop, mobile, and browser. For details on supported languages and how to select one, visit here. Don’t see yours? Request a language.

About Otter.ai

Otter.ai is the AI notetaker and conversation knowledge engine for the modern enterprise. With over 40 million users, including more than 86% of the Fortune 500, and 1 billion+ meetings transcribed, Otter captures, connects, and activates the knowledge from every conversation. Otter’s proprietary ASR and speaker identification, built in-house, deliver industry-leading accuracy, turning meetings into searchable intelligence, automated action items, and agentic workflows that sync directly to the tools teams already use. Backed by Spectrum Equity, Horizon Ventures, and Draper Associates, and most recently General Catalyst’s Customer Value Fund (CVF) with $320 million in growth financing. Otter.ai is headquartered in Mountain View, California.

Media Contact
Mitchell Woodrow, mitchell@otter.ai or press@otter.ai

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