Abstract: A method for dynamically detecting and converting a context-sensitive information in a first language and a first format to a second language and a second format that is understandable to an end user based on a user-specified setting is provided. The method may use a built-in camera of a computing device to dynamically detect and capture an image frame of context-sensitive information. The method may use Optical character recognition (OCR), as well as contextual information such as GPS data available from a mobile computing device, to automatically translate and reformat the context-sensitive information in real-time so a user may understand it unambiguously.

Abstract: Embodiments relate to a system, method and program product for performing code conversions. In one embodiment the method includes determining size of encoding space for a source file and a target file upon receipt of a code conversion request and generating a main conversion file upon determination that a target encoding space associated with said target file is smaller than a source encoding space associated with the source file. Subsequently an extension converted file is generated from the source file according to a pre-established mapping table of code conversion stored in a memory. The code conversion request is completed by using the main conversion file and said extension file together so that the source file does not need to be truncated in order to fit into the target conversion space.

Abstract: Embodiments relate to a system, method and program product for performing code conversions. In one embodiment the method includes determining size of encoding space for a source file and a target file upon receipt of a code conversion request and generating a main conversion file upon determination that a target encoding space associated with said target file is smaller than a source encoding space associated with the source file. Subsequently an extension converted file is generated from the source file according to a pre-established mapping table of code conversion stored in a memory. The code conversion request is completed by using the main conversion file and said extension file together so that the source file does not need to be truncated in order to fit into the target conversion space.

Abstract: A method for dynamically detecting and converting a context-sensitive information in a first language and a first format to a second language and a second format that is understandable to an end user based on a user-specified setting is provided. The method may use a built-in camera of a computing device to dynamically detect and capture an image frame of context-sensitive information. The method may use Optical character recognition (OCR), as well as contextual information such as GPS data available from a mobile computing device, to automatically translate and reformat the context-sensitive information in real-time so a user may understand it unambiguously.

Abstract: A method for dynamically detecting and converting a context-sensitive information in a first language and a first format to a second language and a second format that is understandable to an end user based on a user-specified setting is provided. The method may use a built-in camera of a computing device to dynamically detect and capture an image frame of context-sensitive information. The method may use Optical character recognition (OCR), as well as contextual information such as GPS data available from a mobile computing device, to automatically translate and reformat the context-sensitive information in real-time so a user may understand it unambiguously.