Automatically generating context-based alternative text using artificial intelligence techniques

A non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device:

• to generate one or more text captions for an image relating to a web page by processing at least a portion of the image using at least one artificial intelligence-based image captioning model;
• to determine context information pertaining to at least a portion of the image by processing one or more portions of the image using at least one artificial intelligence-based context and emotion recognition library;
• to generate context-based alternative text for at least a portion of the image by processing, using at least one artificial intelligence-based alternative text generation model, at least a portion of one or more of the one or more generated text captions for the image and the determined context information pertaining to at least a portion of the image;
• and
• to perform one or more automated actions based at least in part on the generated context-based alternative text, wherein performing one or more automated actions comprises:
• automatically inserting at least a portion of the generated context-based alternative text into at least one particular portion of application code of the web page, wherein the at least one particular portion of the application code is determined by parsing content contained within the application code for one or more code-related identifiers;
• and
• automatically updating at least a portion of the one or more code-related identifiers associated with the at least one particular portion of the application code.

An apparatus comprising:

• at least one processing device comprising a processor coupled to a memory;
• the at least one processing device being configured:
• to generate one or more text captions for an image relating to a web page by processing at least a portion of the image using at least one artificial intelligence-based image captioning model;
• to determine context information pertaining to at least a portion of the image by processing one or more portions of the image using at least one artificial intelligence-based context and emotion recognition library;
• to generate context-based alternative text for at least a portion of the image by processing, using at least one artificial intelligence-based alternative text generation model, at least a portion of one or more of the one or more generated text captions for the image and the determined context information pertaining to at least a portion of the image;
• and
• to perform one or more automated actions based at least in part on the generated context-based alternative text, wherein performing one or more automated actions comprises;
• automatically inserting at least a portion of the generated context-based alternative text into at least one particular portion of application code of the web page, wherein the at least one particular portion of the application code is determined by parsing content contained within the application code for one or more code-related identifiers;
• and
• automatically updating at least a portion of the one or more code-related identifiers associated with the at least one particular portion of the application code.