SmartScribe Transcriber: The Journey

Since we decided to construct a genuine speech to text converter, we realized that we needed to fabricate the establishment appropriately. In this way, we zeroed in on the extremely essential: instruction!

I assumed the liability for the iOS application and began taking an iOS course. I went through the course once actually rapidly to get an overall comprehension of the convention for building an iOS application. Thereafter, I returned and revamp the modules that applied to what I required for this application. The improvement was advancing constant and nearly nonstop. Likewise, it went through many plan cycles and changes to take out any pointless parts and make the quantity of steps for utilizing the application as insignificant as could really be expected.

On the AWS side, Alex started to lead the pack and set up a capacity that would get the sound and the boundaries from the iOS application and dispatch the record administration. Subsequently, it would parse the transcriber's outcomes to an intelligible configuration and spot the documents in a predesignated area for download. Like the front end, the back end went through numerous cycles of adding and eliminating provisions to a point we felt was ideal as far as the measure of data we give.

We were very amped up for the multilingual transcriber highlight just as the clinical transcriber ability of this application we were building. Moreover, we extended our foundation to Web for the clients who might want to decipher a pre-recorded sound. Additionally, after a couple of emphasess, we added a human record administration and clients presently can employ a human transcriptionist straightforwardly from the application.