The article discusses the use of intelligent speech recognition technology in qualitative research, particularly in transcribing interviews. It highlights the challenges and benefits of this technology, including time and cost savings, accuracy issues, and data protection concerns. The author presents a case study on Postural Orthostatic Tachycardia Syndrome (POTS) to illustrate practical applications and challenges. The paper emphasizes the importance of transparency, accuracy, and context in transcription, as well as the need for researchers to be aware of algorithmic biases and data security. The study shows that while intelligent speech recognition can enhance efficiency and reduce costs, it also requires careful checking and formatting to ensure accurate and meaningful data analysis. The article concludes by suggesting that researchers should stay informed about evolving technologies and their implications for qualitative research.The article discusses the use of intelligent speech recognition technology in qualitative research, particularly in transcribing interviews. It highlights the challenges and benefits of this technology, including time and cost savings, accuracy issues, and data protection concerns. The author presents a case study on Postural Orthostatic Tachycardia Syndrome (POTS) to illustrate practical applications and challenges. The paper emphasizes the importance of transparency, accuracy, and context in transcription, as well as the need for researchers to be aware of algorithmic biases and data security. The study shows that while intelligent speech recognition can enhance efficiency and reduce costs, it also requires careful checking and formatting to ensure accurate and meaningful data analysis. The article concludes by suggesting that researchers should stay informed about evolving technologies and their implications for qualitative research.