PodZinger, the company that lets you search podcasts using speech recognition, have gone one step further. They now offer YouTube video searches too.

“Now with this new PodZinger feature, you can access and search YouTube material allowing for more specific search of their user generated content. Now besides simply searching on the metadata of the video files, you can search for terms that are actually mentioned inside the audio, allowing for a greater likelihood you will find relevant material. We’re also automatically organizing the videos into channels based on the actual content of the video.”

This feature will really bring PodZinger out. At the moment they have only 3 categories; Anime, Sports and Entertainment; but will obviously be expanding their video content and, in turn, their searchable content.

The problem Podzinger may have here may lie within themselves i.e. with the tremendous increase in workload. They already have the enormous task of analyzing podcasts and the plethora of audio that comes out daily, will they be able to take on the extra job of analyzing the millions of YouTube videos too?

If they keep the videos relevant, this could prove to be a very useful tool indeed. Particularly for those of us that use quotes in news articles.

Product [Podzinger Blog] Via [GoogleOperatingSystem]