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How iCrowdNewswire uses DeepL

$150,000

“at least two full-time staff checking its output – costing approximately $150,000 annually”

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

What happened

iCrowdNewswire, a global press release distributor, uses the DeepL API to automatically translate the press releases it distributes into nine languages. The translations are published to distribution sites and its own websites without human intervention.

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

  • 45-55 million“In total, the team uses DeepL to translate 45-55 million characters daily without error.”
  • nine“iCrowdNewswire translates and distributes English language press releases into nine different languages.”
  • 2,000+“Felipe's team had set up their technology stack to automatically translate and distribute press releases to 2,000+ sites globally without”

By Felipe's estimation, a less reliable solution would need at least two full-time staff checking its output – costing approximately $150,000 annually. But, thanks to DeepL's quality and reliability, not requiring this proofing outlay meant the solution effectively pays for itself.

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

We save enough money to pay for DeepL. It pays for itself.

Felipe Botero, Chief Technology Officer, iCrowdNewswire. 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: $150,000CheckedPrinted word for word on the page, near the name of iCrowdNewswire.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of iCrowdNewswire.
  • The publication dateCheckedRead from the page’s own metadata, never guessed.
  • iCrowdNewswire 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