November 10, 2026 – Otter.ai, the US-based artificial intelligence company behind an AI-powered meeting assistant, has announced a major expansion of its transcription capabilities. The company says 13 additional languages are available now, while another 14 are planned. Once the rollout is complete, Otter expects to support 31 languages in total. Its November 10 company announcement also introduced broader automatic language switching, although that feature is still being developed for release.
The expansion is intended to help international teams record and understand conversations in more languages. According to Otter, the 13 languages included in the current announcement are Mandarin Chinese (Simplified), Korean, German, Italian, Cantonese, Brazilian Portuguese, Russian, Indonesian, Malay, Dutch, Turkish, Vietnamese, and Polish. The company says users can select supported languages when transcribing meetings.
Otter also plans to introduce Swedish, Danish, Finnish, Arabic, Hindi, Thai, Hebrew, Norwegian, Greek, Macedonian, Persian, Czech, Hungarian, and Romanian. These 14 languages form the next stage of the expansion. However, the company has not announced an exact release date for them, so users should not assume that all 31 languages are available today.
One of the most important upcoming improvements is automatic language switching during meetings. The feature is designed to recognize when participants begin speaking another supported language and continue producing a transcript without requiring someone to change the settings manually. For example, a conversation could move between English, Korean, and Portuguese while Otter follows the speakers. The broader capability is still planned rather than generally available. Otter’s existing language-support instructions already describe a more limited option that switches from French to English under specific settings.
For users who want to try the newly announced languages, Otter says they can open their account settings and choose a supported transcription language. The company says the language expansion does not introduce an additional fee and applies across its plans, with access through desktop, mobile, and browser applications. Existing subscription limits may still apply. Users should check which languages appear in their accounts before relying on them for an important meeting.
The update also extends beyond creating a written record of a conversation. Otter says its supported-language workflows include meeting summaries, speaker identification, action items, AI-powered search, and follow-up assistance. These features could help teams find decisions and tasks from meetings conducted in different languages. However, transcription and translation are different functions. Recording someone’s speech in its original language does not automatically mean the conversation is being translated into another language.
Otter says it develops and operates its own speech-recognition models instead of relying entirely on outside AI providers for transcription. In its report on the expansion, TechCrunch also reported that the company used publicly available training data and worked with native speakers to review transcription quality. These details explain Otter’s approach, although independent accuracy results for each newly announced language have not yet been established.
The announcement comes as speech recognition becomes increasingly important in workplace software. TechBonafide previously covered NVIDIA’s Nemotron 3.5 Transcribe, an AI speech-recognition model reported to support 40 languages. NVIDIA’s technology is aimed at developers building speech applications, while Otter offers a meeting-focused product with transcription, summaries, and workflow tools. The two developments show different ways AI can make spoken information more useful.
For businesses with employees, customers, or partners in multiple countries, broader language support could reduce the work involved in preparing meeting notes and tracking follow-up tasks. However, companies should test transcription quality with their own accents, background noise, and industry-specific terms before relying on automated records. Teams handling confidential discussions should also review recording permissions and information-sharing policies. TechBonafide’s guide to private AI and sensitive business data explains relevant data-handling considerations, although private local AI systems differ from Otter’s hosted service.
Several important details remain uncertain. Otter has not provided a firm release date for all remaining languages or the broader automatic-switching feature. Independent testing has also not established how consistently the new transcription models perform across different speaking styles and meeting conditions. The announcement represents a meaningful expansion of Otter’s international ambitions, but its full practical value will become clearer as the remaining features arrive and organizations evaluate them in everyday use.
