Otter.ai, the company behind the leading AI notetaker and conversational knowledge platform, made a major announcement today. The company unveiled the largest multilingual expansion in its history. The update adds 27 new languages, with 13 available now and 14 coming soon. Additionally, Otter.ai multilingual transcription will recognize and transcribe conversations as speakers move between languages in a single meeting.
Global teams rarely work in just one language. Capterra’s 2024 Collaboration and Productivity Survey backs this up. The survey found that 42% of international knowledge workers named language barriers as one of their top challenges when collaborating. Therefore, Otter is expanding now, and it is doing so deliberately.
Unlike other Multilingual Transcription, Otter trains, tunes, and runs its speech models on its own infrastructure. The company does not wrap them around a third-party AI service. As a result, Otter can build each new language with the accuracy teams need to trust their notes.
27 New Languages Join the Otter.ai Platform
Otter already supports four languages: English, French, Spanish, and Japanese. Now, the platform adds 13 new ones. These include Mandarin Chinese (Simplified), German, Italian, Cantonese, Korean, Portuguese (Brazil), Russian, Indonesian, Malay, Dutch, Turkish, Vietnamese, and Polish.
Fourteen more languages are coming soon. They are Swedish, Danish, Finnish, Arabic, Hindi, Thai, Hebrew, Norwegian, Greek, Macedonian, Persian, Czech, Hungarian, and Romanian. Once all of them go 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. It will transcribe accurately as participants switch between supported languages. Moreover, users will not need to change any settings manually. For example, a sales call can move from English to Portuguese to Mandarin and back. Nobody has to pause to change a language setting.
Otter builds and runs each language model in-house. Consequently, it can account for what makes each language distinct. In English benchmark testing, Otter averaged 96% accuracy on the Open ASR Leaderboard. Furthermore, Otter does not send your audio to third parties for processing. This commitment has held for over a decade. Now, it extends to every new language as it becomes available.
A Complete Workflow in Every Supported Language
The new languages work across the whole workflow of Multilingual Transcription, 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 the call, 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. It works 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.”
Explore IT Tech News for the latest advancements in Information Technology & insightful updates from industry experts!
News Source: Businesswire.com
