This tutorial offers a comprehensive guide on building multilingual audio transcription applications using Python and the AssemblyAI API to accurately transcribe non-English languages such as Spanish, French, and German. It explains how to configure language-specific settings, manage speaker identification, and export formatted transcripts, with practical examples addressing dialect variations and special characters to ensure transcription accuracy. The automatic speech recognition process converts spoken words into text, offering a faster and cost-effective alternative to manual transcription, and supports automatic language detection and speaker diarization. The tutorial also provides insights into exporting transcripts in various formats and highlights the scalability and consistency of the AssemblyAI API for processing large volumes of multilingual audio files across different sectors, including healthcare, legal, and media.