DeepL Voice

Breaking down language barriers in business, DeepL Voice is a real-time voice translation solution provided by DeepL. Using AI-powered language technology, it instantly transcribes and translates spoken content, enabling users who speak different languages to communicate naturally and efficiently. Whether it’s face-to-face customer interactions, overseas business visits, or cross-border online meetings, DeepL Voice helps businesses reduce language barriers and improve the efficiency of cross-border communication and collaboration.

DeepL Voice currently includes Voice for Conversations, Voice for Meetings, and Voice API, allowing businesses to choose the application that best suits their specific communication scenarios.

DeepL Voice for Conversations is specifically designed for face-to-face cross-language communication and does not require Teams, Zoom, or other video conferencing platforms. Users can perform real-time voice translation on devices such as smartphones and tablets via the DeepL mobile app or website. Users speak in their own language, and DeepL Voice instantly recognizes the speech and generates a translation, allowing both parties to communicate in the languages they are most comfortable with. According to the official description, this feature is suitable for face-to-face communication between businesses and their customers or partners. It is ideal for factory tours and guided visits, international exhibitions and on-site hospitality, as well as in-person exchanges among multinational teams.

DeepL Voice for Meetings is specifically designed for cross-border online meetings. It currently supports Microsoft Teams, Zoom Meetings, and Google Meet, providing real-time multilingual captions during meetings to help participants speaking different languages understand the discussion. A single meeting can support multiple speaking languages, allowing participants to join the discussion in their own language. DeepL’s official list of supported languages for DeepL Voice speech transcription includes Chinese (Mandarin), English, Japanese, Korean, French, German, Spanish, and many others. It is ideal for multinational corporate meetings, meetings with overseas clients, technical conferences, and global team collaboration, allowing participants of different languages to keep up with the meeting content in real time.

DeepL Voice categorizes languages into two types: “source language” and “target language.” The source language is the spoken language that DeepL Voice uses for recognition and transcription; the target language is the language in which the transcription is displayed as subtitles. The languages currently listed by DeepL Voice for Meetings for speech transcription include Chinese (Mandarin), Japanese, English, and others. Therefore, for common corporate meetings involving Chinese, English, and Japanese, DeepL Voice is particularly well-suited for cross-border client communication and technical exchanges.

For industries such as technology, manufacturing, semiconductors, finance, and healthcare, the accuracy and consistency of technical terminology are crucial. DeepL Voice offers features related to corporate language management, allowing users to add important terms used by their organization, including company names, product names, technical terms, abbreviations, and industry-specific terminology.

Terminology management helps the AI more accurately capture company-specific terminology and product names during real-time speech translation. DeepL also specifically emphasizes that Voice can enhance translation quality in professional and technical conversations through its terminology and quality optimization features.

Translated with DeepL.com (free version)

For businesses, real-time voice translation involves meeting content, customer information, and technical data; therefore, data security is a key consideration when implementing AI translation services.

According to DeepL, transcription and translation data from Voice are not permanently stored on servers; data from Voice for Meetings is temporarily stored in memory during processing and deleted immediately after the meeting ends. The data is also encrypted during transmission and is not used for model training. DeepL also provides enterprise-grade security mechanisms such as SSO, multi-factor authentication, role-based access control, audit logs, and network access restrictions.