The next three years will see significant advancements in voice-to-text features, with a focus on improving accuracy across languages, delivering supporting features to enhance output quality, and addressing real-world use cases. Key areas of development include improved word error rate accuracy, entity tagging within audio, language identification, speaker diarization, short utterance accuracy, and spoken language translation. These advancements will enable businesses to save time and human resource costs, unlock new information, and provide more accurate representation of audio as part of the files transcribed, ultimately aligning voice technology with consumer expectations.