Some details
Happy Scribe is a high-end dynamic SaaS platform for researchers, journalists, podcasters, and media production companies. It uses state-of-the-art machine-learning models to transcribe audio/video files uploaded by users automatically. Happy Scribe is used in a plethora of different industries, whether it be in education all the way through to the entertainment.
We were tasked with,
among other features, the development of a simple and functional player for video or audio. Apart from simply playing the material, users can also control it by clicking on text to jump to the specific point in audio or video simultaneously.The next thing we were responsible for was making the transcribed text as clear for users as possible. That’s why we introduce speaker Identification, which allows users to set the identification to differentiate between speakers.
Another problem we needed to tackle was how to help users to easily navigate the text when playing the transcribed file. We achieved that by adding the function of highlighting the text (similar to karaoke), which is synchronized with the spoken word. In addition to that, we introduced comments, which also are based on highlighting particular parts of the text.
One of the most interesting features we implemented was also a confidence Heatmap, which defines the value in the audio/video file transcribed into text.
Full portfolio: http://bit.ly/HappyScribeClutch