The use case: how Panasonic deploys DeepL
Panasonic Connect uses DeepL Translator to translate between Japanese, English and German in daily communication with a global team, including through a browser extension on wiki pages. Researchers also use DeepL Write to improve English in research papers submitted to international journals.
Figures in the source
Figures published in DeepL’s case study. They are not independently measured by usedby.
which made 2–3 corrections per page
In the customer’s words
Using DeepL has really changed our world.Other AI tools used by Panasonic
Other public relationships recorded on usedby.
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DeepL users in Manufacturing
Companies in the same sector, with public evidence.
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Go straight to the source
Based on DeepL’s published case study. We check the public evidence; the results are reported by the vendor.
deepl.com- Source published
- May 28, 2026
- Last checked
- Nov 11, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Panasonic.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Panasonic uses DeepLChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
However, when we used DeepL Write to edit a paper that had already been proofread by the paid editing service, we found that DeepL Write provided 5–6 times more editing suggestions than the paid service, which made 2–3 corrections per page.