Otter.ai launches biggest multilingual expansion in its history

Before the announcement, Otter supported only four languages: English, French, Spanish and Japanese. With the expansion, the total reaches 31 languages when all are available.

In this article you will see:

• What are the 13 languages available now and the 14 coming soon
• How multilingual transcription works inside a meeting
• What this changes for international teams
• How to test the new feature today
• What Otter says about the models behind the expansion

The 13 languages available now

Beyond the four existing languages (English, French, Spanish and Japanese), Otter now supports 13 new languages:

• Mandarin (Simplified Chinese)
• German
• Italian
• Cantonese
• Korean
• Portuguese (Brazil)
• Russian
• Indonesian
• Malay
• Dutch
• Turkish
• Vietnamese
• Polish

The 14 languages coming soon are: Swedish, Danish, Finnish, Arabic, Hindi, Thai, Hebrew, Norwegian, Greek, Macedonian, Persian, Czech, Hungarian and Romanian.

Once all are available, Otter will support 31 languages in total.

Multilingual transcription inside the meeting

The most interesting feature of the announcement is not the language list, but the ability to follow conversations that change language in the middle of a meeting. According to Otter, multilingual transcription follows the conversation as it unfolds, transcribing accurately as participants switch to a supported language, with no need to change settings manually.

The example given by the company is a sales call that can go from English to Portuguese and then to Mandarin, and back, without anyone needing to pause to change a language setting.

Otter says the newly added languages run on the company's own speech models.

What changes for international teams

For teams working with participants in several countries, the expansion removes real friction. Before, a meeting with participants in different languages required choosing a main language for transcription or splitting the meeting into parts. Now, transcription can follow the conversation.

The same always-on agent movement shows up in tools like the Perplexity launches Teammates, always-on agent for work, which also seeks to remove friction from team workflows. Those working with voice and transcription can compare it with the Underdog launches 32 MB voice model in the browser, which tackles lightweight voice models running locally.

The company says the expansion was presented at Web Summit Lisboa and that the goal is to bring Otter's AI notetaker and conversational knowledge engine to new and existing teams around the world.

For sales, support and engineering teams that operate in global markets, the change is more than convenience. Multilingual transcription allows a single meeting to generate a complete, searchable record, even when participants switch between languages. This makes it easier to create a record system for voice communication decisions, cited by Otter itself as the central goal of the expansion.

The announcement also positions Otter in more direct competition with other transcription tools that already support multiple languages, but that generally require manual language setup per meeting. Otter's difference is the ability to track language switching without interruption, which reduces friction for teams that work in a hybrid and international way.

An Otter spokesperson told TechCrunch that "Otter is breaking down language barriers so that any company, no matter where it is based, can build a record system for voice communication decisions with AI."