Audio description (AD), an additional narration track that conveys essential visual information in a media work, is imperative for improving video accessibility for people who are blind or visually impaired. While large streaming services such as Netflix, Disney+, and AppleTV have begun offering AD on new titles, current processes are manually done. Movies can take more than 60 hours to describe, with a cost of $10-$70 per minute. To investigate the need for AD, we conducted extensive user research with people in the blind and visually impaired community. We learned when they use AD, how they use it, where they use it, and most importantly, what they value in a high quality audio description experience. Existing literature regarding AD does not address these questions of user preferences, no projects have specifically targeted the area of user-generated content or smaller budget video content, and there is minimal existing work on automating the AD process. We received over 100 survey responses and conducted 40 interviews with stakeholders, including leading industry accessibility experts. Of these interviewees, 18 identified as blind or low vision. Our findings show that the most prominent challenge is the lack of available AD. Some interview participants preferred brief descriptions, wanting to fill in the gaps with auditory information, while others favored longer, more expressive audio descriptions. Based on our interview insights, we developed an audio description software to automatically describe videos from a user-provided link. For our prototype, we identify key frames, use existing APIs from Microsoft and Google to describe and read the text from each frame, and use text-to-speech to generate a second audio track. Through this project, we have extended knowledge of audio description preferences and developed a service to provide automatic audio descriptions based on novel user insights.