Using Chat GPT to Clean Interview Transcriptions: A Usability and Feasibility Analysis

One of the major inefficiencies in qualitative research is the accuracy and timeliness of transcribing audio files into analyzable text (Hennessy et al., 2022; Kvale, 2007). However, researchers may now have the ability to leverage artificial intelligence to increase research efficiency through Chat GPT. As a result, this study performs feasibility and accuracy testing of Chat GPT versus human transcription to compare accuracy and timeliness. Results suggest, by using specific commands, Chat GPT can clean interview transcriptions in seconds with a <1% word error rate and near 0% syntactic error rate. Implications for research and ethics are addressed.