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How Deutsche Bahn uses DeepL

320,000+

“320,000+ employees”

As published on deepl.com, April 2025. Captured by usedby on Oct 7, 2026.

What happened

Deutsche Bahn uses DeepL Translator for text and document translation across departments, available to all employees as a browser extension. It uses glossaries built from a central terminology database to keep corporate and industry-specific terms consistent across languages.

Summary written by usedby from the source page, in English. The figures are those of DeepL and Deutsche Bahn, not ours.

  • 30,000“30,000 glossary entries”
  • 140“140 countries”
  • 16“16 languages”

DB started using DeepL to enable internal communication in January 2022, and has been heavily investing in it across the DB Group. DeepL Translator is used across departments for text and document translation, and is available to all employees as a browser extension.

From the page. deepl.com, captured Oct 7, 2026

[We] needed a way for employees speaking many different native languages and working in hundreds of different professions . . . to communicate clearly with each other, while accounting for industry-specific jargon, dialects, and idioms.

Annette Kraus, Head of Language Department, Deutsche Bahn. Source, captured Oct 7, 2026

Along with data protection and data security, 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.

Tom Winter, Data Scientist & Computational Linguist at Deutsche Bahn AG, Deutsche Bahn. Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: 320,000+CheckedPrinted word for word on the page, near the name of Deutsche Bahn.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Deutsche Bahn.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • Deutsche Bahn uses DeepLCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

more than half“Multilingual translation processes that previously took several business days have now been reduced by more than half”Sumitomo Corporation uses DeepL. Another customer of DeepL60%“Time savings of more than 60%.”Hitachi Industrial Equipment Systems uses DeepL. Another customer of DeepLmore than 50%“DeepL reduced document translation time by more than 50%”JERA Co., Inc. uses DeepL. Another customer of DeepL