DeepL Launches Voice-to-Voice 

DeepL has launched DeepL Voice-to-Voice, a real-time translation product suite for live spoken communication, expanding into speech-to-speech translation for virtual meetings, in-person conversations, and customer-facing touchpoints.

The DeepL Voice-to-Voice product suite includes the following:

• Voice for Meetings, which provides real-time translation in platforms like Microsoft Teams and Zoom, allowing participants to speak their native languages while others hear it in theirs.
• Voice for Conversations, which now extends beyond mobile.
• Group Conversations, which facilitates multilingual exchanges in training, coaching, and workshop settings, with participants joining instantly through a QR code.
• Voice-to-Voice API, which enables businesses to integrate DeepL's voice translation directly into their own internal applications and customer-facing tools, such as their contact centers.
• Customization with spoken terms, as new quality optimization capabilities in DeepL Voice help ensure specific terminology is captured, transcribed, and translated. As part of this, DeepL translation glossaries will be integrated into DeepL Voice so users can standardize key terminology across conversations.

"Today, we reach another frontier in translation: real-time, spoken communication. Our mission has always been to break down language barriers and we've now overcome one of the biggest of all. DeepL Voice-to-Voice allows everyone to speak naturally in their own language without the friction or cost of interpreters. We're fusing world-class voice models with the gold-standard translation AI we've been pushing to new heights. Now, expertise is all that counts, not language," Jarek Kutylowski, founder and CEO of DeepL, said in a statement.

The launch also introduces support for a broad range of languages for DeepL Voice, including all 24 official European Union languages, alongside Vietnamese, Thai, Arabic, Hebrew, Bengali, and Tagalog. The total number of languages for DeepL Voice now stands at more than 40.

Alongside the Voice launch, DeepL is evolving its core Translator into the next-generation DeepL Translator platform, creating the end-to-end translation infrastructure for modern enterprises.

"Global businesses no longer have a translation problem; they have an operating model problem, with today's language solutions often being too slow to scale and a costly drag on growth for businesses," Kutylowski said. "We're bringing translation and language fully into the AI age. By centralizing translation operations in an AI-first, multilingual platform, every team can access fast, high-quality translations without being held back by legacy tools or relying on expensive third-party language services."

With its new Translator platform, DeepL is tackling the following pain points in enterprise translation operations:

• Translation Flow: Content moves through existing systems and is translated instantly, with the right terminology and tone applied automatically.
• Translation Quality Assessment: Teams can see exactly how reliable a translation is, with an evaluation criteria highlighting anything that might need attention.
• Ongoing improvements: Edits can be made directly in the product, with full control over the final output. Every correction is learned from, so translations continuously improve over time.