Adobe, Inc.

Ashutosh Dwivedi

Subham Gupta

Sudhir Tubegere Shankaranarayana

Jaideep Jeyakar

Anuradha

Arnab Sil

Digital tutorial generation techniques and systems are described in which a digital tutorial is generated automatically and without user intervention. History data is generated describing a sequence of user inputs provided as part of user interaction with an application and audio data is received capturing user utterances, e.g., speech, from a microphone of the computing device. A step-identification module of the tutorial generation system identifies a plurality of tutorial steps based on a sequence of user inputs described by the history data. A segmentation module of the tutorial generation system then generates a plurality of audio segments from the audio data corresponding to respective ones of the plurality of tutorial steps. The digital tutorial is then generated by a synchronization module of the tutorial generation system by synchronizing the plurality of audio segments as part of the plurality of tutorial steps, which is then output.

Digital tutorial generation system

The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and providing an animated tutorial based on determining modifications made to a digital image. For example, the disclosed systems can determine modifications made to a digital image based on comparing an initial state of a digital image with a modified state of the digital image and/or based on analyzing an action history within a digital image editing application. The disclosed systems can generate an animated tutorial based on the determined modifications and can further generate a deep link that references the animated tutorial. In addition, the disclosed systems can provide the animated tutorial to a social networking system together with the deep link to cause devices to execute a digital image editing application and present the animated tutorial upon selection of the deep link.

Analyzing digital image modifications to generate, publish, and present digital image-editing tutorials

In implementations of content-adaptive guided tutorial generation, a computing device implements a guided tutorial generation module of an image-editing application that generates a content-adaptive guided tutorial based on input content. The content-adaptive guided tutorial provides instructions on how to interact with image-editing controls of the image-editing application, where the editing controls are selectable to initiate modifications to input parameters of the input content. The guided tutorial generation module receives the input content, and creates copy content that replicates content parameters of the input content as modifiable content parameters. The guided tutorial generation module can compute adjustment values for the modifiable content parameters that are selectable to initiate alterations to the copy content, and generates the content-adaptive guided tutorial to indicate how to interact with the editing controls to alter the content parameters based on the adjustment values to produce altered output content.

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Bengaluru, India

Ashutosh Dwivedi