Case Study: iCrowdNewswire saves $150K annually with DeepL

iCrowdNewswire saves $150K annually with DeepL

iCrowdNewswire, a global press release distributor, faced challenges with its previous automated translation provider, which delivered low-quality, "robotic-sounding" translations that generated customer complaints. They needed a cost-effective solution that could provide highly accurate and natural-sounding translations to support their free multilingual distribution service.

By implementing the DeepL API, iCrowdNewswire achieved a seamless integration and a substantial upgrade in translation quality. The results included eliminating the need for manual checks, saving an estimated $150,000 annually, and processing 45-55 million characters daily across nine languages without error. DeepL's reliable, high-volume translations have dramatically increased customer satisfaction and supported the company's global expansion.

iCrowdNewswire