This guide demonstrates how to detect low confidence words from Speech-to-Text using AssemblyAI and Node.js. It explains that modern speech recognition models can struggle with certain words, especially if the audio quality is poor or a speaker is not speaking clearly. The model provides confidence scores for each word in a transcript, ranging from 0.0 (low confidence) to 1.0 (high confidence). By setting a threshold for low confidence words, users can identify potentially problematic sections that require manual review. The guide shows how to set up the environment, create a transcript, retrieve sentences, filter sentences with low confidence words, isolate low confidence words, format and display results, and execute the script. This approach is valuable for call center quality assurance, medical transcription, legal documentation, and educational content where accuracy matters.