In this paper, we propose an automatic generation system of the comic from a newspaper article. In the proposed system, two characters appear in the generated comic: one has a role of questioner and the other is elucidator. These characters are created using an automatic comics generation tool named “Komipo!”. First, the proposed system analyzes the text of a newspaper article and every sentence is presumed the importance and importance analysis and emotion analysis using language resources are carried out for each sentence. From the result of importance and emotion analysis, the system chooses the characters having suitable expression and a pose to the sentence of an article. The system converts the text of an article into spoken language from the literary language. If there is a difficult word in a text, the proposed system generates additional frame to explain the meaning of the difficult word. The background image for every frame is chosen from Flickr. In the image selection process, not only language processing, but also the result of image analyses is used. Evaluation experiments have been carried out and we confirmed that the system is able to choose the image suitable for the text of an article by performing image processing. In addition, it has shown that the expression by a comic style contributes to readability and easiness of understanding for newspaper articles.