Scalable content with Gen-AI
AI lip-sync video translation
Rompa Group, a global plastics injection moulding company, faced the challenge of communicating their year-end interview to employees worldwide in multiple languages. Using AI technology, we delivered a seamless, fully translated and lip-synced video solution.
Rompa Group struggled to convey their year-end interview to a diverse, global workforce speaking different languages. Their previous method — relying solely on subtitles — was time-consuming and left employees feeling less connected to the content.
The language barrier hindered Rompa Group's ability to connect with their employees, leading to reduced engagement and comprehension. With a global workforce, the need for an efficient and relatable communication method was critical to maintaining employee engagement and conveying key messages effectively.
Making internal content more accessible
We recognised that Rompa Group needed a streamlined, innovative approach to translate and present their year-end interview in a way that felt natural and engaging for all employees, regardless of their native language. The goal was to improve the viewing experience beyond simply reading subtitles.
By leveraging advanced AI tools including HeyGen, ChatGPT and Whisper, we developed a solution that fully translated the interview into multiple languages with accurate lip synchronisation. This meant the translated video looked and felt as though it had been recorded natively in the target languages. We also automated the generation of subtitles, further simplifying the production process. The AI's strong performance in translation required only minimal manual adjustments, ensuring both efficiency and high-quality output.
Improved communication and engagement
The solution provided a more natural and engaging video for Rompa Group's global workforce, helping employees feel more connected to the content. This approach significantly improved the effectiveness of their internal communications.
The new process was not only more efficient, but also produced higher-quality results compared to the previous method. Automation and advanced AI tools reduced production time and effort, delivering a more streamlined and cost-effective solution.
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