Otter Expands Its Multilingual Transcription to 31 Languages

Key Takeaways

1Otter.ai adds 27 languages to its transcription, aiming for a total of 31

2Thirteen languages are already available, with fourteen more to follow

3The transcription automatically detects language changes during meetings

4The new models are trained on public data and reviewed by native speakers

Why it matters : Otter facilitates international collaboration by making its tools accessible to more multilingual teams.

Otter.ai introduces a transcription feature that adapts to language changes during the same meeting. Twenty-seven languages are being added, bringing the total to 31 by the end of the rollout, with 13 already active. The new models, trained on public data and reviewed by native speakers, support a strategy of AI tools bolstered by $320 million raised from General Catalyst.

$320M and New Tools to Frame Meetings

Otter is expanding its offerings beyond transcription, following a $320 million investment from General Catalyst. The company has launched Work Mode, which leverages meeting history and connected applications to prepare for upcoming calls. This tool aggregates elements from previous conversations with clients, pending actions, notes written by teammates on similar calls, and recent files stored on Google Drive. Otter also offers Live Assist, a real-time support feature that analyzes the ongoing exchange and suggests interventions based on what has been said and what is happening at the moment.

Transcription Automatically Follows Language Changes

The new transcription feature automatically detects shifts from one language to another and continues writing without requiring adjustments from the user. A single call can thus switch from English to Korean and then to Portuguese while still being tracked. This capability is part of the expansion of multilingual functions announced by Otter for meetings where speakers change languages.

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31 Targeted Languages, 13 Already Available and 14 Coming Soon

Otter is adding support for 27 languages, its largest linguistic expansion to date. By the end of the rollout, the platform will target a total of 31 languages. Thirteen are already active, including Mandarin, Korean, German, Italian, Cantonese, Portuguese, Russian, Indonesian, Malay, Dutch, Turkish, Vietnamese, and Polish. Fourteen more will follow, including Swedish, Danish, Finnish, Arabic, Hindi, Thai, Hebrew, Norwegian, Greek, Macedonian, Persian, Czech, Hungarian, and Romanian. This update aims to address the challenges faced by international teams during multilingual meetings.

In-House Models, Public Data, and Native Speaker Reviews

The new languages rely on speech recognition models developed by Otter. The company states that it trained them using publicly available datasets and enlisted native language volunteers to review the transcriptions and verify their accuracy. A spokesperson describes this evolution as a means to break down language barriers and provide businesses with an AI-assisted voice communication recording system.