A method for improving reading proficiency in persons in need of improvement. The method includes the steps of providing a body of digital text on an electronic device; extracting a selected portion of digital text from the body of digital text; analyzing the selected portion by natural language processing to produce a phonetical font, the phonetical font including a representation of a letter that when heard or said voices a phoneme of the letter; rendering the analyzed selected portion into the phonetical font; and utilizing the phonetical font to increase reading proficiency.

Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products that enable performing format-dynamic string processing in a group-based communication system.

Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products that enable performing format-dynamic string processing in a group-based communication system.

Methods and system for creating and managing personalized fonts. Personalized fonts are created by applying personalization parameters to a base font using a style application method or module such as a neural style transformation. The personalized fonts may be transferred to recipients of textual communications to enable the recipient to read messages from a sender in the personalized font of the sender.

Methods and system for creating and managing personalized fonts. Personalized fonts are created by applying personalization parameters to a base font using a style application method or module such as a neural style transformation. The personalized fonts may be transferred to recipients of textual communications to enable the recipient to read messages from a sender in the personalized font of the sender.

Embodiments of the present disclosure relate to systems for performing operations that include: receiving a first media object, such as a digital representation of a logo (e.g., JPEG, TIFF, PNG, BMP, etc.), wherein the first media object comprises at least color data that defines a set of colors of the media object; detecting the set of colors of the first media object responsive to receiving the first media object; selecting a portion of the set of colors of the first media object; and generating an interface to configure a second media object, the interface comprising a display of one or more configuration options that include a color selection, the color selection comprising a presentation of the portion of the set of colors.

Embodiments of the present disclosure relate to systems for performing operations that include: receiving a first media object, such as a digital representation of a logo (e.g., JPEG, TIFF, PNG, BMP, etc.), wherein the first media object comprises at least color data that defines a set of colors of the media object; detecting the set of colors of the first media object responsive to receiving the first media object; selecting a portion of the set of colors of the first media object; and generating an interface to configure a second media object, the interface comprising a display of one or more configuration options that include a color selection, the color selection comprising a presentation of the portion of the set of colors.

A computer implemented method includes receiving embedded font text defining characters associated with an original font family. The embedded font text is processed to generate original glyph metrics data, a combined original font glyph width based on the original glyph metrics data, and one or more candidate font families are identified. For each candidate font family a combined candidate font family glyph width is calculated and a candidate font family difference, the candidate font family difference being a measure of how the candidate font family's combined candidate font family glyph width compares to the combined original font glyph width. A particular candidate font family is selected as a replacement font family based on the candidate font family differences of the one or more candidate font families.

A computer implemented method includes receiving embedded font text defining characters associated with an original font family. The embedded font text is processed to generate original glyph metrics data, a combined original font glyph width based on the original glyph metrics data, and one or more candidate font families are identified. For each candidate font family a combined candidate font family glyph width is calculated and a candidate font family difference, the candidate font family difference being a measure of how the candidate font family's combined candidate font family glyph width compares to the combined original font glyph width. A particular candidate font family is selected as a replacement font family based on the candidate font family differences of the one or more candidate font families.

A machine translation of a document is created via a compilation of services by mapping textual content from an image to create a plurality of mapped locations correspondent to at least one object from the image, populating each of the mapped locations with at least one character indicative of the object, each character sharing at least one similar attribute, adding to the image the populated mapped locations, and highlighting at least a portion of the textual content in accordance with the populated at least one character. A compilation of services is provided for identifying, extracting, and assessing electronic images by using a layered approach that reduces time and improves reviewing of medical records and other kinds of documentation.