I'd like to know if there are any official, out-of-the-box tools available for handwriting and PaperKit that can help lower the input barrier for older adults and users with disabilities.

Handling multilingual text. When a user selects a block of text that is mostly Chinese but contains embedded English words (e.g., technical terms in parentheses), the system reader often stutters, stops, or skips the English entirely. What is the best way to handle mixed-language text processing so that the speech engine can seamlessly and fluidly read Chinese and English together without dropping words?

I am designing an educational app. I notice that current system text-to-speech (like AVSpeechSynthesizer) often sounds too mechanical because the time intervals between characters are strictly equal, making it lack natural human prosody, phrasing, and warmth-which is a huge dealbreaker for sensitive users like children. How can we customize text-to-speech to break this uniform word-spacing, manage prosody dynamically, and make the Al voice sound more emotionally engaging and natural rather than a cold robot? I really want to create an elegant listening experience that feels like a real human storytelling, not just machine reading.