Otter.ai Adds 13 Languages and Previews Automatic Language Switching

Otter.ai announced on November 10, 2026 a 27-language expansion of its meeting transcription service, with 13 additions available immediately and 14 more marked as coming soon. The company also previewed a multilingual mode designed to transcribe participants as they change supported languages within one meeting, without manual setting changes.

The live additions are Mandarin Chinese (Simplified), German, Italian, Cantonese, Korean, Portuguese (Brazil), Russian, Indonesian, Malay, Dutch, Turkish, Vietnamese and Polish. They join English, French, Spanish and Japanese. Arabic, Hindi, Thai, Hebrew and Persian are among the forthcoming languages; Otter says the completed roster will cover 31 languages.

Language barriers are a documented issue for internationally distributed teams. In Capterra’s 2024 Collaboration and Productivity Survey, 42% of employees who collaborated with co-workers in other countries at least monthly identified language barriers as a top challenge. The online January 2024 survey covered 6,490 full- or part-time hybrid and remote workers. Separately, 62% of respondents said they worked with colleagues who spoke a different native language.

Language Selection Remains Manual

Otter’s supported-language documentation instructs users to select the language spoken in the original audio before recording or importing a file. If a conversation was transcribed using the wrong setting, its owner can reprocess the original recording in another transcription language on desktop or web.

Otter says its coming-soon multilingual option will instead follow changes between supported languages as a meeting unfolds, removing the need to pause and alter settings. That capability was not part of the immediately available additions.

Automatic transcription is also distinct from translation. Selecting a transcription language produces text in the language spoken; it does not convert the meeting into another language. AI Chat can translate an existing transcript, summary or action items without changing the original transcript. It can also switch languages within the same chat and draw on multiple conversations when generating multilingual content.

Language Support Across the Meeting Workflow

The language coverage extends into work surrounding the transcript. Before a call, Work Mode can use past conversations and connected apps to prepare a brief. Summaries, action items, speaker identification, AI Chat and search operate across supported languages. Afterward, Work Mode can generate follow-up emails and CRM updates in the language used during the meeting.

The live additions carry no additional cost across Otter plans and are available on desktop, mobile and browser, with users selecting a supported language in their settings. Otter is also inviting users to express interest in beta testing the forthcoming languages. Its documentation states that completing the survey guarantees neither participation in the beta program nor access to a particular language.

Model Operation and Transcription Accuracy

Otter says its speech models are trained, tuned and run on its own infrastructure rather than wrapped around a third-party AI service, and that audio is not sent to third parties for processing. That processing commitment extends to each added language as it becomes available.

The Help Center cautions that transcription accuracy can vary with accent, pronunciation, speaking speed, background noise and audio quality. Those conditions remain relevant across the expanded roster, particularly for organizations deploying transcription in varied meeting environments.

The business value of this release lies in extending an existing meeting workflow across more languages without changing plan pricing. Automatic handling of mixed-language conversations remains the outstanding piece: until it ships, language selection stays part of setup, and transcription quality still depends on speakers and recording conditions.