Natural Language Processing (NLP) offers powerful tools for analyzing and understanding human language. This article explores the application of NLP techniques in building a processing pipeline for voice journal transcripts. The goal is to segment these transcripts into coherent units, preparing them for high-quality classification in subsequent steps of analysis.