Initiating the process requires either selecting a language for the video or channel, as noted in this Watson Generated Captions guide. Generating captions with machine learning is a quick process, taking roughly the length of the asset to produce. This article discusses, briefly, the process of generating these captions before detailing the user experience in searching them and how content owners can edit them as well.

Afterwards, these corrected captions are not only accessible in the player but can be searched against as well, empowering viewers to jump to parts in the video where their topic of interest is mentioned. Once generated, content owners can modify these for accuracy through a dashboard editor, simplified by confidence levels that will underline words under a certain threshold. This is achieved through automatic closed captioning, with support to both edit and search them.Ĭalled Watson Captioning, available as part of IBM Video Streaming and as a stand alone service, the process works by utilizing IBM Watson to generate closed captions, converting video speech to text.

The frustration is a growing challenge, but one that can be addressed while simultaneously adding valuable captions to video content. 79% of executives with video content archives agree that a “frustration of using on-demand video is not being able to quickly find the piece of information I am looking for when I need it.” This data comes from a joint IBM and Wainhouse Research report, which interviewed 1,801 executives.

Edit caption in word