Superior Accuracy and Quality
Let's say you have a recorded interview with a person who has a thick accent or who speaks rapidly. Maybe the audio has background noise or people speaking over one another. AI-based transcription tools will struggle to accurately transcribe their words because the software's language models cannot interpret all the different ways people speak and various factors such as background noise. The result could be a transcript that is filled with errors and difficult to understand.
However, our team of United States-based transcribers has a deep understanding of the nuances of the English language, including various accents and dialects. With natural exposure and adaptability, human transcriptionists can recognize and understand varying factors in audio. They can listen to the recording and accurately transcribe the words, even if the speaker has a thick accent or speaks quickly. This ensures that the final transcript is of high quality, free from errors, and easy to read and understand.