Otter AI adds multilingual transcription for 31 languages
Original: Otter AI can now follow conversations across 30+ languages
Why This Matters
Multilingual auto-detection addresses a real friction point for distributed global teams.
Otter.ai announced Tuesday it is adding support for 27 languages, reaching 31 total, including a new feature that auto-detects language switches mid-meeting without requiring manual adjustments from users.
Otter.ai is rolling out its largest language expansion to date, adding 27 languages to its AI note-taking platform for a total of 31. The headline feature is multilingual transcription: Otter can now follow a single conversation as speakers shift between languages—say, English to Korean to Portuguese—without users touching any settings.
Thirteen languages are live now, including Mandarin Chinese, Korean, German, Italian, Portuguese, Russian, Indonesian, and Polish. Fourteen more—Arabic, Hindi, Swedish, Finnish, Hebrew, Thai, Greek, and others—are coming soon. All new languages run on Otter's own speech models, trained on publicly available datasets and reviewed by native-speaking volunteers for accuracy.
The expansion follows Otter's $320 million funding round from General Catalyst and fits into the company's broader push beyond transcription. Recent additions include Work Mode, which surfaces relevant context from past meetings, connected apps, and Google Drive files before upcoming calls, and Live Assist, which provides real-time coaching during meetings based on the live conversation.
"Otter is breaking down language barriers so any company, no matter where they're based, can build a system of record for voice AI communication," a company spokesperson told TechCrunch.