Every organization has an internal training session once in a while where expert individuals from different fields train the employees in different areas. Such sessions require the time, effort and availability of the speaker. This often creates a roadblock in conducting enough sessions in a given time frame.
With the help of vidBoard.ai, organizations can create high-quality human avatar-led video sessions for the employees in no time without the actual involvement of a real human being. It helps in increasing the frequency of training sessions and audience engagement. All you are required to do is insert the plain text of the presentation, select a human avatar, a background and vidBoard.ai creates a high-quality video session with the features of subtitles and language translation in an affordable manner. You can also use the human avatar of the expert speaker himself, which makes the session even more interesting!
The idea of creating videos from plain written text is a novel idea and I see tremendous potential. Having used the beta product of vidBoard, I must confess that I was blown away with its great user interface and user experience.
I have used vidBoard for many video presentations. The idea of creating HD quality animated, human led videos out of plain text is novel and promising. Kudos to team vidBoard
My startup Craving Kombucha has used the beta product of vidBoard for explainer videos in local languages. I am quite happy with the beta product, especially its UI and UX.
After having assisted the team at vidBoard initially through the research phase of this tool and finally trying out their in-house beta version. I must say we have got a unicorn in the making. The product has come a long way and has immense capability when it comes to a media creation tool.
We have been testing the beta version of the platform offered by vidBoard for creating custom product videos for a while now. It has immense credibility as a synthetic media creation tool as well as massive potential to scale up across various business domains.