Which software package is specifically designed to convert digital sound into text?

Voice recognition software is specifically designed to convert digital sound into text by utilizing advanced algorithms and machine learning models that understand and process spoken language. This type of software captures audio input, analyzes the sound waves, and translates them into written text, making it particularly useful for tasks like transcription, hands-free writing, and voice commands.

Audio editors typically focus on manipulating sound files rather than converting spoken language to text; they are used for editing or mixing audio tracks. Speech synthesis, on the other hand, involves generating spoken language from text, which is the reverse of converting speech to text. Word processing software is designed for creating and formatting text documents, but it does not have the capability to recognize or transcribe audio input directly. Thus, voice recognition is the most appropriate choice for the task of converting digital sound into text.