Research and Application of Image Recognition and Automatic Translation Technology in English Translation Software

With the rapid development of artificial intelligence technology, image recognition and automatic translation technology are more and more widely used in English translation software. This paper aims to explore how the combination of these two technologies can improve translation efficiency and accuracy. First, the basic concept of image recognition and its main applications in translation software are outlined, including real-time image translation and optical character recognition (OCR) technology. Second, it analyzes the current status, advantages and challenges of the current automatic translation technology, and explores the potential opportunities brought by its deep integration with image recognition. Finally, it looks forward to the future development direction of this field, and believes that technological innovation and user experience optimization will be the key factors to promote the continuous progress of English translation software. Through this study, it is expected to provide reference and reference for academic research and practical application in related fields.