"First I made it for my wife". Transcribe.kz is an application that captures the Kazakh voice into text

Adyrna.kz Telegram

The work of journalists has become easier. The Transcribe.kz application that converts video and audio in Kazakh to text has appeared. Professional podcaster, IT specialist - Eldar Kudaibergenov, who saved the time of information distribution specialists and implemented such a project. "Adyrna" national portal interviewed the startups and asked about the intricacies of the application.


- Mr. Eldar, where did the idea to create the Transcribe.kz project come from? What made you do it?

- The idea of creating this project did not arise out of nowhere. It consisted of several stages. First of all, my husband is a journalist who worked in a newspaper. Now available on the site. Her name is Roza Eren. I often saw him recording audio interviews and transcribing them into text. Having become a programmer myself, I learned how to automate it, and I created this project for my spouse at first. But the results at that time were not very pleasing. Then we realized we couldn't sell it.

Half a year ago, I enrolled in the Tech Orda program at the Astana Hub. I learned the profession of frontend for six months. We made projects there. My first project was not successful, this was my second project. 2-3 months ago, I listened to the story of one of my clients, a journalist, in my production center. He said, "I will first conduct an interview, write it down on paper, then go and type it on the computer, and then start editing it." It was a very interesting moment for me. After all, that person showed how much he suffered and how difficult this thing was. That's when I realized that there is a solution to this problem.

I looked for a solution to the problem, considered it, and shared my findings with the first person and my wife. At first, the results were not immediately pleasing. Then I made this tool. This is how the idea came about. That's how the idea came about, why not Kazakhize services that automatically convert audio or video into text.

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