With the rapid development of artificial intelligence technology, Imagex, as an image processing technology, is regarded by many as having great potential in the future. However, we need to look at Imagex's capabilities objectively and note some possible exaggerations. This article will explore the problem of the severely exaggerated function of Imagex and analyze its true application scope. First, Imagex is believed to enable fully automated image processing and analysis. However, in practical applications, Imagex still faces some challenges, such as poor image quality and processing of complex scenes. Although Imagex can handle some simple imaging tasks, such as face recognition, image classification, etc., complex image processing and analysis tasks still require the intervention and assistance of artificial intelligence experts. Therefore, the capabilities of Imagex are in some cases exaggerated and a more realistic assessment of the limitations of its practical application is required. Secondly, Imagex is claimed to enable highly precise and accurate image processing. However, the actual situation is that Imagex still has a certain error rate when processing complex images or images with noise. For example, in face recognition applications, Imagex may not be able to accurately identify the tiny features of the face, resulting in misrecognition or misjudgment. In addition, Imagex may also have large recognition errors for images with different lighting conditions and angles. Therefore, we need to look at the actual accuracy of Imagex rationally and evaluate it based on specific application scenarios. Additionally, some claim that Imagex can replace human image processing and analysis tasks. However, this statement ignores the importance of human expertise and experience in image processing. Although Imagex can provide automated and efficient image processing, in some fields, such as medicine, security, etc., human experts are still required to professionally interpret and judge the image results. Humans can use their own experience and background knowledge to conduct more comprehensive and in-depth analysis of images. Therefore, Imagex cannot completely replace humans' role in image processing and analysis, but should be used as an auxiliary tool to improve work efficiency. To sum up, Imagex's capabilities are grossly exaggerated in some cases. We need to be objective about the technical limitations of Imagex and recognize the limitations of its practical application. While Imagex has potential in image processing and analysis, it still needs to be combined with human expertise and experience to achieve more accurate and comprehensive results. When evaluating the application prospects of Imagex, we should look at its real functions and potential more rationally and realistically.