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

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

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

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

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.

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…

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…

Residents and businesses can speak to Walsall Council in the language of their choice thanks to Kerv’s CX Translation real-time voice and digital translation, powered by the DeepL API. Enabling seamless, real-time communication across language barriers ensures callers feel understood, and frees the council from depending on costly third-party interpreters. If you’d like to know more about how Kerv and DeepL enable multilingual customer support, join our webinar with Walsall Council on 17 September at 11am UK time. Register here to book your spot: kerv.com/events/webinar/kerv…

Adding @Mixhalo's ultra-low latency audio to DeepL’s end-to-end language intelligence has transformed what we’re able to build with Voice. When you control the speed of audio delivery, and remove it as a constraint, what was previously impossible quickly becomes a product roadmap. It means speech-to-speech translation, faster than people imagine possible. It means all the excitement of live sport, in any language. And it means that every customer and every patient feel instantly understood. In our latest AI Labs feature, Mixhalo Co-founder Vik Singh and DeepL Head of Voice Leo Doin reveal the real-time audio layer we’re building to transform how the world experiences voice translation: deepl.com/en/ai-labs/real-ti…

A general-purpose LLM can generate a translation for you. What it can’t do is give you translations that are consistent, predictable and controllable, every time. If you’re embedding an AI translation API in products, pipelines or workflows, that really matters. If you’re choosing a translation API, make sure you read this Buyer's Guide first: deepl.com/en/translation-api…

Cross-border legal work runs on @harvey. The leading legal AI platform’s translations of complex, high-stakes documents now run on DeepL. More than 200,000 lawyers across over 70 countries rely on Harvey to translate contracts, filings, briefs, evidence and more. Thanks to the DeepL API, its clients can upload any document and get a precise, accurate, customized translation. DeepL’s custom glossaries functionality and unmatched file format support preserve integrity of structure, meaning and legal terminology. “By integrating DeepL’s AI document translation capabilities directly into the Harvey platform, we’re giving legal teams an even faster, more seamless and reliable way to work across languages, while also making sure content stays highly precise and accurate,” says Harvey’s Product Manager, Lauren Oh. Discover how Harvey works with DeepL: deepl.com/en/press-release/h…

Choosing a translation API for multilingual products, pipelines or workflows? Here are 8 reasons why you shouldn’t just settle for the first option you find. They’re the dimensions that control translation API performance in practice. And they’re the criteria you should include in your RFP, if you want to ensure quality, latency, price control, developer experience and more. Our new Buyer's Guide has a detailed framework for evaluating translation APIs. You’ll find all the information you need for drawing up a shortlist, creating an RFP and ensuring that the API you choose delivers the performance and pricing you need, at scale. Read the full Buyer’s Guide here: deepl.com/en/translation-api…

Superhuman Go is the proactive AI assistant that helps users work better across more than 1 million different platforms and apps. From today, that includes communicating expertly across more than 100 languages, with DeepL. That’s because DeepL is one of the first Connectors available for @Superhuman Go. Whatever language you need to work in, Superhuman Go can deploy superior DeepL translations, and all of the knowledge in your glossaries, style rules and translation memories, to help. If you’re a Superhuman Go user, you can connect your DeepL account in just a few steps. Start here: superhuman.com/store/connect…