So, why DeepL? Weglot’s founder and CTO, Rémy Berda, was on the lookout for top-quality language translation APIs to enhance his company’s offerings and services. Weglot is a Paris-based SaaS company that provides localization and translation services to clients around the world. With demand for its localization services high, Weglot needed translation APIs of exceptional quality-which made a partnership with DeepL the ideal choice.Īs an early adopter of DeepL API, Weglot and its customers have benefited from our accurate, high-quality AI translations since 2018-having already helped over 50,000 companies build multilingual websites. Weglot x DeepL: enhancing localization offerings with the highest-quality AI translation To learn more about how DB uses DeepL, you can check out the case study. Going forward, DB is exploring even more instances where machine translation may be able to assist with its railway operations-such as communications with border traffic. And with DeepL, it can be done very easily as long as you have a well-organized terminology database.”ĭB has been a satisfied DeepL customer since early 2022 thanks to its best-in-class translation quality, excellent data security, and customizability via its glossary feature. The correct use of our corporate language is very important for consistent communication throughout the whole Group.

“The ability to adapt the engine to DB’s corporate language via glossaries is a main advantage of DeepL compared to other machine translation systems. This feature was especially important to Deutsche Bahn, with Tom Winter, Data Scientist & Computational Linguist at DB, saying: With the power to specify their own translations for words and even entire phrases, DB ensured the use of industry and company-specific vocabulary in all communications.Īdditionally, DeepL’s glossaries rely on morphosyntactic terminology integration-meaning that DeepL adapts the formulation of translations based on glossary entries and accounts for factors such as grammatical genders and plurals. Since integrating DeepL, DB has added more than 30,000 entries to its glossary, allowing DB employees to communicate consistently across the organization. That’s where DeepL’s glossary really came in handy. In order for employees with different native languages and professions to communicate clearly, the translation would have to account for industry-specific jargon, dialects, and idioms. To communicate at scale, DB knew that machine translation technology provided the best solution. However, the company had to overcome its main challenge: highly technical terminology. Thankfully, DB has DeepL to enable seamless communication for its massive, multilingual workforce. Of its 320,000 full-time employees, only 64% are based in Germany-meaning communication across multiple languages is key to DB’s international success. In this post, we’ll cover three case studies to see how real DeepL customers used AI translation to enhance their localization processes and take their businesses global.ĭeutsche Bahn x DeepL: connecting a multilingual workforce with consistent global communicationĪs the largest railway operator and infrastructure owner in Europe, Deutsche Bahn (DB) has employees all over the continent. With higher quality and more accurate machine translations that improve project alignment and lower costs, your company can get a leg up on the competition.īut don’t just take our word for it-ask our customers. Great for localizing everything from your website content to customer support to marketing materials, an AI translation tool like DeepL allows companies to work more efficiently. However, there are ways to make localization easier and less time-consuming-namely, with AI translation. Localization isn't an easy process it requires time, effort, and a great deal of expertise. Why AI translation is the best choice to streamline localization

Alza integrated DeepL API to efficiently localize its website content into five different European languages, saving thousands of euros a month in operating costs.

Weglot's customers benefitted from DeepL API’s incredible accuracy and efficient translations, saving them time and money when localizing their content.

Deutsche Bahn used DeepL to connect its global, multilingual workforce and ensure consistent, industry-specific communication.

What you need to know about how DB, Weglot, and Alza used DeepL:

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