Podcasts have been an increasingly popular medium for sharing information, thoughts, stories, and interviews. However, podcasts face a significant accessibility and usability challenge. For instance, individuals with hearing impairment can't access the content without transcription. Furthermore, it's challenging to search for specific content within a podcast without written transcription. Despite this need, manual transcription is time-consuming, expensive, and can be error-prone due to human fatigue or misunderstanding complex terminologies.
The advent of artificial intelligence (AI) offers an innovative solution to this problem. AI-driven transcription services leverage natural language processing (NLP), automatic speech recognition (ASR), and machine learning (ML) technologies to convert spoken language into written text. These AI systems can process audio files, identify spoken words, and generate accurate transcriptions. The entire process can be automated, significantly reducing the time needed to transcribe an entire podcast episode.