Connect and scale your business globally with the AI layer for language and superior quality translation across text, speech-to-speech, documents, and more 🌏💬

Cologne, Germany
Joined February 2018
The universal translator has lived in science fiction for decades. So at @salesforce #DF26 we built one, powered by DeepL Voice. Speak in your language, hear the person on the other side respond in theirs - your own voice, translated in real time. Try DeepL Voice yourself here: deepl.com/en/products/voice
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AMOREPACIFIC is using DeepL Voice to support collaboration across global teams, from the Americas to Asia. What started with around 20–30 meetings a month has grown to more than 100, helping more employees take part in global conversations across languages. DeepL Voice is also being used for multilingual conferences and employee training, extending real-time voice translation beyond meetings and into how the company works globally. Read the full story: deepl.com/press-release/amor…
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When legal teams work across languages, accuracy, context and nuance matter. Hannah Schatte, our Director of GTM Legal, shares how her team uses DeepL to review complex contracts and navigate negotiations with international partners. Discover more ways DeepL supports legal teams and watch the full video: deepl.com/en/teams/legal?utm…
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AI moves fast - the infrastructure behind it has to be ready for what comes next. Research is at the core of what we do at DeepL. We’re now working with @VAST_Data to strengthen the foundation behind that work, helping our teams move even faster and push the boundaries of what’s possible across Language AI and DeepL Voice. Learn more: deepl.com/en/press-release/d…
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Our CEO and Founder @jarekkut joined @Bloomberg @TomMackenzieTV onsite at the International AI Summit in Dublin to talk about the growth of DeepL Voice, the increasingly competitive AI landscape, what Europe needs to build and scale the next generation of global AI companies, and more. Watch the full conversation :bloomberg.com/news/videos/20…
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DeepL is now part of the classroom at @‌CAU_News. Its Advanced Interpretation & Translation Program is the first of its kind in South Korea to introduce DeepL Translator, giving students hands-on experience with Language AI. Learn more: deepl.com/en/press-release/c…
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DeepL has been named to @FastCompany’s 2026 Next Big Things in Tech list, recognized in Applied AI for DeepL Voice and our work advancing real-time voice-to-voice translation. DeepL Voice is already helping global teams work across languages in real time - and our latest #VoiceAI models now carry each speaker’s distinct voice, tone and expression across languages. Try it yourself: lnkd.in/gn7bDfAW #FCTechAwards
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For many organizations, where data is hosted is an important part of meeting compliance and sovereignty needs. Some also have additional requirements around infrastructure, jurisdiction and access. That's where DeepL for Sovereign Markets comes in, bringing the core translation solutions we’re known for into an environment hosted and operated entirely within the EU, under EU jurisdiction. Read more about how we’re approaching #sovereignty: deepl.com/en/blog/building-f…
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Nearly 200 founders, investors, researchers, policymakers and tech leaders joined us at DeepL’s Munich office yesterday for an evening focused on building the next generation of #AI companies in Europe. Hosted with @StartupVerband and @IHK_MUC during @bitsandpretzels , the event featured a conversation with Verena Pausder, alongside DeepL's Sebastian Enderlein and @mesken_stefan, on what it takes to scale AI companies in Europe that can compete globally. DeepL Voice was live too, giving guests a firsthand look at the latest in real-time voice translation.
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MCP is changing how enterprise software gets used and how specialist systems like DeepL show up inside general-purpose AI. We sat down with @Semrush’s @marcustober to learn how #MCP brings the two together. Watch brnw.ch/21x5S0x; Explore DeepL MCP brnw.ch/21x5S0w
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50 stages, 1,000+ sessions – all translated in real time with DeepL Voice. A look behind the scenes at what it takes to bring real-time translation to @salesforce @Dreamforce. Learn more about DeepL Voice and try it yourself at dee.pl/l5jn9. #DF26
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We’ve been letting people experience the new voice preservation capabilities in DeepL Voice for the first time at @salesforce @Dreamforce . Here are some of their initial reactions. Come try it at Booth #514, and and for those at home, try it here dee.pl/l5jn9 #DF26 #VoiceAI
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Thanks @jonfortt and @CNBC for having our CEO Jarek Kutylowski on to discuss our latest DeepL Voice launch. Our new models preserve more of the speaker in real time, a major step toward making voice a key interface for communicating across languages. brnw.ch/21x5JdZ
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Introducing voice preservation in DeepL Voice. Powered by new models that carry your actual voice - not just your words - across languages in real time, including tone, rhythm, pacing and expression. Available now across 14 languages. Hear the difference brnw.ch/21x5Hhs
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DeepL Voice is also now on desktop. Our new app for Windows and Mac works across Zoom, Microsoft Teams and Google Meet, automatically detecting meetings and bringing real-time translation into one place. Download it here – dee.pl/uw70x
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We’re heading to @Salesforce #DF26. DeepL Voice will power real-time translation across 50 stages and 1,000+ sessions, and we’ll be demoing our latest Voice technology onsite. Come find us at Booth #514.
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There’s an inconvenient truth that nobody in AI translation likes to talk about. What we measure in quality test scores is becoming less important than what we don’t. Gaps in MQM-type quality benchmarks may be narrowing, but the differences in real-world performance are becoming much more significant. Our new blog from Morana Perić explains why: deepl.com/en/blog/should-you…
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If you’re using a general-purpose LLM for translation, quality equals latency. If you’re using a specialized model like DeepL, it doesn’t. OpenAI GPT-5.2 is 4x slower than DeepL. Claude Opus 4.6 is 6x slower. Google Gemini 3.1 Pro is a vast 29x slower. If you’re choosing a translation API to build into your products or pipelines, that really matters. Our new blog explains why: deepl.com/en/blog/choosing-a…
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