Abstract: Font recommendation techniques are described that provide recommendations of fonts based on a variety of factors, automatically and without user intervention in real time. This is performable in a variety of ways by addressing a wide range of considerations as part of machine learning, examples of which include context, popularity, similarity, customization, and topic compatibility.

Abstract: Embodiments of the technology described herein, are an intelligent system that aims to expedite a text design process by providing text design predictions interactively. The system works with a typical text design scenario comprising a background image and one or more text strings as input. In the design scenario, the text string is to be placed on top of the background. The textual design agent may include a location recommendation model that recommends a location on the background image to place the text. The textual design agent may also include a font recommendation model, a size recommendation model, and a color recommendation model. The output of these four models may be combined to generate draft designs that are evaluated as a whole (combination of color, font, and size) for the best designs. The top designs may be output to the user.

Abstract: Font recommendation techniques are described that provide recommendations of fonts based on a variety of factors, automatically and without user intervention in real time. This is performable in a variety of ways by addressing a wide range of considerations as part of machine learning, examples of which include context, popularity, similarity, customization, and topic compatibility.

Abstract: Font recommendation techniques are described that provide recommendations of fonts based on a variety of factors, automatically and without user intervention in real time. This is performable in a variety of ways by addressing a wide range of considerations as part of machine learning, examples of which include context, popularity, similarity, customization, and topic compatibility.

Abstract: Embodiments of the technology described herein, are an intelligent system that aims to expedite a text design process by providing text design predictions interactively. The system works with a typical text design scenario comprising a background image and one or more text strings as input. In the design scenario, the text string is to be placed on top of the background. The textual design agent may include a location recommendation model that recommends a location on the background image to place the text. The textual design agent may also include a font recommendation model, a size recommendation model, and a color recommendation model. The output of these four models may be combined to generate draft designs that are evaluated as a whole (combination of color, font, and size) for the best designs. The top designs may be output to the user.

Abstract: Responsive grid layouts for graphic design are described. In one example, a system of a digital medium environment is configured to generate responsive grid layouts for graphic design. The system includes a layout module implemented at least partially in hardware of the computing device to generate a plurality of grid layouts each having at least one cell configured to be mapped to at least one design element of digital content. The system also includes a scoring module implemented at least partially in hardware of a computing device to assign scores to the plurality of grid layouts based on aesthetic criteria and an output module implemented at least partially in hardware of a computing device to output at least one grid layout of the plurality of grid layouts for recommendation to a user based on the scores.

Abstract: Responsive grid layouts for graphic design are described. In one example, a system of a digital medium environment is configured to generate responsive grid layouts for graphic design. The system includes a layout module implemented at least partially in hardware of the computing device to generate a plurality of grid layouts each having at least one cell configured to be mapped to at least one design element of digital content. The system also includes a scoring module implemented at least partially in hardware of a computing device to assign scores to the plurality of grid layouts based on aesthetic criteria and an output module implemented at least partially in hardware of a computing device to output at least one grid layout of the plurality of grid layouts for recommendation to a user based on the scores.

Abstract: Responsive grid layouts for graphic design are described. In one example, a system of a digital medium environment is configured to generate responsive grid layouts for graphic design. The system includes a layout module implemented at least partially in hardware of the computing device to generate a plurality of grid layouts each having at least one cell configured to be mapped to at least one design element of digital content. The system also includes a scoring module implemented at least partially in hardware of a computing device to assign scores to the plurality of grid layouts based on aesthetic criteria and an output module implemented at least partially in hardware of a computing device to output at least one grid layout of the plurality of grid layouts for recommendation to a user based on the scores.

Abstract: Responsive grid layouts for graphic design are described. In one example, a system of a digital medium environment is configured to generate responsive grid layouts for graphic design. The system includes a layout module implemented at least partially in hardware of the computing device to generate a plurality of grid layouts each having at least one cell configured to be mapped to at least one design element of digital content. The system also includes a scoring module implemented at least partially in hardware of a computing device to assign scores to the plurality of grid layouts based on aesthetic criteria and an output module implemented at least partially in hardware of a computing device to output at least one grid layout of the plurality of grid layouts for recommendation to a user based on the scores.