The process of converting visual content containing text from its original language to the Chinese language involves several steps. Initially, optical character recognition (OCR) technology extracts the text from the image. This extracted text is then subjected to machine translation, yielding the corresponding Chinese translation. Finally, the translated text may be overlaid onto the original image or presented alongside it. For instance, an image of a product label in English can be processed to present the product information in Mandarin Chinese.
This capability provides significant value across various sectors. It facilitates access to information for Chinese-speaking populations, supports global commerce by enabling the localization of visual marketing materials and product documentation, and enhances educational resources by adapting visual aids for Chinese learners. Historically, the manual translation and re-creation of images were time-consuming and expensive processes. Automated image translation provides a faster, more cost-effective, and scalable solution for bridging language barriers in visual communication.
