PDF or Word (.docx). We extract the text, detect likely fields (ID numbers, dates, amounts, labelled values like "Flat No." or "PAN"), and group repeated mentions of the same value into one field.
Whose templates this belongs to, e.g. "Public" or a person's name. Typing a new name creates it.