Technology

The Future of Transcription: How AI is Changing Journalism

By Ella Faith Albano February 1, 2025

The Associated Press Electronic News Production System was created by The Associated Press as a news production software system. It was developed in the 1980s to help the process of creating and distributing content. In 2018, AP ENPS started working with Trint, a company that was created to support different journalism and media professionals with content creation. Their partnership was to collaborate on Trint's transcription AI technology that they were developing. The hope was that the Associated Press employees could leverage the tools for their projects and spend less time transcribing and focus more on producing and creating their content.

In September 2019, Trint launched their real-time transcriptions software alongside Associated Press. It uses AI and machine learning to transcribe videos and recorded audios. Their hope was to fill the gap in the market of live events and videos that did not have immediate transcribed text by combining an audio/video player and text editor. Trint has integrated this into different live-streamed events and has the program available for download. If you would like to use this software, it is currently available for $60 per month. A massive aspect is that the transcription automatically translates to 40+ languages, their hope is to keep growing the number of languages that the program can translate.

This technology is very exciting for many different reasons. I think the largest reason is that it take AI less time to write transcriptions. It usually takes a human three hours to transcribe one hour, while AI can do it simultaneously. The use of this with live events will help a larger population be able to view them as they air. This allows various videos and events to be more accessible, either to those with hearing disabilities or the automatic translation into different languages. These aspects are the main reasons why this program is so appealing. The opportunity to grow a potential audience with automatic transcribed or translated captions opens up many possibilities. I hope we get to see this technology integrated in society as the demand raises.

The future usage of this software can be used for many different journalist and media needs. Similar to above, this allows for media to be more widespread, both accessibility and language wise. This can grow the target viewers and reach a larger audience. Next, the software can be integrated into other programs. This can make other programs more usable and accessible by transcribing and translating embedded videos. The automatic software could save a lot of time and effort. Finally, the most interesting potential aspect to me is translating multiple languages into multiple languages, letting professionals interview diverse populations easier. Instead of needing a translator, a device could help facilitate the interview. Which devices like this already exist, but this could help them become more universal. It would be helpful to have an easier way to translate videos into your native language, so that you can enjoy and be informed. This is beneficial for many different reasons, and not only to media professionals. The creation of this AI technology will help cultivate a new age of digital media. 

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