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Data is a valuable commodity for most organizations today. Whether it comes in the form of written text or multimedia files, this recorded information are needed to gain insight on specific processes. For example, recorded customer phone calls are vital to improving customer service. In the legal profession, recorded information is critical in what lawyers, judges, and court employees do every day. But to make the most out of these files, transcription is necessary so that you can extract key points and transform audio and video files into a written format.

Transcription and AI technology

Transcribing audio and video files into text is a time-consuming task. Before speech recognition software was developed, transcription is usually done manually. The process involves a person listening to the file and typing out the words. While this process is effective, it is laborious, especially when you are dealing with a significant amount of data. Human error also affects the accuracy of the transcribed text.

So, how did speech recognition software changed the transcription industry? Simply put, speech recognition software is a computer program that listens to the audio and automatically types the words. Nowadays, many people are already familiar with the concept of speech recognition as it is used in tech products like Amazon’s Alexa and Google Voice.

With the help of AI, transcription services by Verbit, for example, have improved capabilities in terms of accuracy and efficiency. What this means for clients is that regardless of how large the audio or video file, you can have them transcribed in significantly less time than manual human transcription. It should be noted, however, that even services that use AI still edit and double-check the transcribed document with the help of human transcriptionists.

Are there drawbacks to AI-powered transcription?

Speech recognition technology, when used to transcribe files is far from perfect. The nuances of human language like accents and slang all affect the accuracy of the automated transcription. However, most transcription providers today are consistently improving the technology to iron out most of the earlier kinks. Most importantly, the final transcript still goes through human editing as the final point of guaranteeing quality assurance.

Why consider using AI-powered transcription services?

In addition to accuracy, one of the primary advantages of AI technology used to transcribe data is efficiency. Imagine having to transcribe massive audio and video files manually. It would take days and weeks before you can complete your work! In the academe, automated transcription is quite beneficial. If you are a lecturer, student, or researcher, you will benefit from hiring transcription services that use AI. They can get a large amount of work done in little time and for lesser payment than working with a manual transcription service.

In conclusion, AI technology applied in transcription is a perfect fit. Many services are already taking advantage of this innovation, and industries that require their services are bound to benefit significantly. Regardless of your profession, if you need files transcribed accurately and efficiently, consider hiring a transcription service that uses speech recognition software.