Abstract: An approach is disclosed that determines an amount of time before a webpage is ready to use by a user by performing various actions. The approach captures a recording of the webpage from an invocation of the webpage for a period of time sufficient to load completely load the webpage with the capturing resulting in sequenced image frames. An AI system provides a loading point in the sequenced image frames based on an analysis of the frames input to the trained AI system. Image diversity and saturation measurements are calculated on consecutive image frames from the sequenced image frames resulting in an image change analysis. Native webpage events and times are detected from webpage characteristics gathered from the captured digital recording. The amount of time is then calculated based on the loading point from the AI system, the image change analysis; and the webpage events and their corresponding times.

Abstract: Aspects of the present disclosure relate to input text management. Input text can be received from a user. A set of key elements can be extracted from the input text. A determination can be made whether the user is mapped to an existing cluster. In response to determining that the user is mapped to an existing cluster, a structured table mapping key elements to text modifications can be referenced. The input text can be modified according to the structured table mapping key elements to text modifications, wherein the existing cluster is associated with a text modification scheme within the structured table, wherein the text modification scheme includes a first mapping of key elements to text modifications.

Abstract: An approach is disclosed that determines an amount of time before a webpage is ready to use by a user by performing various actions. The approach captures a recording of the webpage from an invocation of the webpage for a period of time sufficient to load completely load the webpage with the capturing resulting in sequenced image frames. An AI system provides a loading point in the sequenced image frames based on an analysis of the frames input to the trained AI system. Image diversity and saturation measurements are calculated on consecutive image frames from the sequenced image frames resulting in an image change analysis. Native webpage events and times are detected from webpage characteristics gathered from the captured digital recording. The amount of time is then calculated based on the loading point from the AI system, the image change analysis; and the webpage events and their corresponding times.

Abstract: Aspects of the present disclosure relate to input text management. Input text can be received from a user. A set of key elements can be extracted from the input text. A determination can be made whether the user is mapped to an existing cluster. In response to determining that the user is mapped to an existing cluster, a structured table mapping key elements to text modifications can be referenced. The input text can be modified according to the structured table mapping key elements to text modifications, wherein the existing cluster is associated with a text modification scheme within the structured table, wherein the text modification scheme includes a first mapping of key elements to text modifications.