Abstract: An audio book server may identify, from a plurality of electronic texts, an electronic text that corresponds with an audio book. The audio book server may determine, based at least in part on the electronic text, organizational data associated with a plurality of time-based locations of the audio book. The audio book server may output the audio book and the organizational data to a remote computing device.

Abstract: Digital graphic novel content is received and features of the graphic novel content are identified. At least one of the identified features includes text. Contextual information corresponding to the feature or features that include text is generated based on the identified features. The contextual information is used to aid translation of the text included in the feature or features that include text.

Abstract: Digital graphic novel content is received and a machine-learning model applied to predict features of the digital graphic novel content. The predicted features include locations of a plurality of panels and a reading order of the plurality of panels. A packaged digital graphic novel is created that includes the digital graphic novel content and presentation metadata. The presentation metadata indicates a manner in which the digital graphic novel content should be presented based on the locations and reading order of the plurality of panels. The packaged digital graphic novel is provided to a reading device to be presented in accordance with the manner indicated in the presentation metadata.

Abstract: Digital graphic novel content is received and features of the graphic novel content are identified. At least one of the identified features includes text. Contextual information corresponding to the feature or features that include text is generated based on the identified features. The contextual information is used to aid translation of the text included in the feature or features that include text.