Abstract: A typeface design system displays, using a typeface design interface, one or more control points for modifying one or more curves of a design that define an outline of an input character. The typeface design system accesses a machine-learning model trained to recognize the input character as a reference character. The typeface design system receives an input modifying the design including a change in position of an input control point of the one or more control points from a first position to a second position. The typeface design system determines, by the trained machine-learning model, that the reference character does not match the input character having the modified design based on determining that the second position is outside of a particular region defined by the machine-learning model. The typeface design system rejects the input and maintains the design of the input character as displayed prior to receiving the input.

Abstract: Certain embodiments involve automatically controlling modifications to typeface designs. For example, a typeface design application provides a design interface for modifying a design of an input character from a typeface. The typeface design application accesses a machine-learning model that is trained, using multiple training typefaces, to recognize the input character as a reference character. The typeface design application receives, via the design interface, an input modifying the design of the input character. The typeface design application determines that the machine-learning model cannot match the reference character to the input character having a modified design. The typeface design application outputs, via the design interface, an indicator that the input character having the modified design is not recognized as the reference character.

Abstract: A content manipulation application provides a graphical interface for editing graphical content. The graphical interface includes first and second control elements for performing first and second manipulations of the graphical content. If the first control element is selected, the content management application switches the graphical interface to a trackpad mode. The trackpad mode disables the second control element and thereby prevents the second control element from performing the second manipulation. While the graphical interface is in the trackpad mode, the content management application receives an input in an input area that lacks the first control element and performs the first manipulation of the graphical content responsive to receiving the input. Subsequent to the first manipulation being performed, the graphical interface is switched out of the trackpad mode, thereby enabling the second control element to perform the second manipulation.

Abstract: Image session identifier techniques are described. In one or more implementations, a request is received to create an image sharing session and a session identifier is generated for the image sharing session that is configured to act as a credential to join the image sharing session as a member. A communication is formed that includes the generated session identifier and that is configured for communication via a network to an originator of the request.

Abstract: A typeface processing application accesses a character skeleton, which has control points and curves defined by control points, and a character outline surrounding the character skeleton. The typeface processing application computes, for a design parameter of a design application, a graphics control dataset based on a particular control point. Doing so involves identifying a pair of control point positions and a pair of expansions of the character outline, where each position or expansion pair corresponds to a pair of design parameter values. The typeface processing application generates the graphics control dataset, which includes intermediate positions of the control point between the pair of positions and intermediate expansions of the character outline between the pair of expansions.

Abstract: A typeface processing application accesses a character skeleton, which has control points and curves defined by control points, and a character outline surrounding the character skeleton. The typeface processing application computes, for a design parameter of a design application, a graphics control dataset based on a particular control point. Doing so involves identifying a pair of control point positions and a pair of expansions of the character outline, where each position or expansion pair corresponds to a pair of design parameter values. The typeface processing application generates the graphics control dataset, which includes intermediate positions of the control point between the pair of positions and intermediate expansions of the character outline between the pair of expansions.

Abstract: Certain embodiments involve automatically controlling modifications to typeface designs. For example, a typeface design application provides a design interface for modifying a design of an input character from a typeface. The typeface design application accesses a machine-learning model that is trained, using multiple training typefaces, to recognize the input character as a reference character. The typeface design application receives, via the design interface, an input modifying the design of the input character. The typeface design application determines that the machine-learning model cannot match the reference character to the input character having a modified design. The typeface design application outputs, via the design interface, an indicator that the input character having the modified design is not recognized as the reference character.

Abstract: A content manipulation application provides a graphical interface for editing graphical content. The graphical interface includes first and second control elements for performing first and second manipulations of the graphical content. If the first control element is selected, the content management application switches the graphical interface to a trackpad mode. The trackpad mode disables the second control element and thereby prevents the second control element from performing the second manipulation. While the graphical interface is in the trackpad mode, the content management application receives an input in an input area that lacks the first control element and performs the first manipulation of the graphical content responsive to receiving the input. Subsequent to the first manipulation being performed, the graphical interface is switched out of the trackpad mode, thereby enabling the second control element to perform the second manipulation.

Abstract: Image session identifier techniques are described. In one or more implementations, a request is received to create an image sharing session and a session identifier is generated for the image sharing session that is configured to act as a credential to join the image sharing session as a member. A communication is formed that includes the generated session identifier and that is configured for communication via a network to an originator of the request.

Abstract: Automatic techniques to tune images based on metadata are described. In one or more implementations, image data and metadata are received that references a geographic location. Responsive to a user input, the image data is processed using one or more tuning parameters that correspond to the geographic location to change one or more visual characteristics of the image data.

Abstract: Image session identifier techniques are described. In one or more implementations, a request is received to create an image sharing session and a session identifier is generated for the image sharing session that is configured to act as a credential to join the image sharing session as a member. A communication is formed that includes the generated session identifier and that is configured for communication via a network to an originator of the request.

Abstract: Automatic techniques to tune images based on metadata are described. In one or more implementations, image data and metadata are received that references a geographic location. Responsive to a user input, the image data is processed using one or more tuning parameters that correspond to the geographic location to change one or more visual characteristics of the image data.