We developed and built an AI machine learning-based audio caption auto-sync system that performs data conversion, noise removal, STT, and audio/text similarity matching to generate final caption files and connect them with online audio sharing services. By using a high-performance speech recognition engine and deep learning algorithms, the system ensures accurate caption generation across diverse audio environments and supports fast conversion of large audio files through real-time processing. Advanced noise removal technology and speech enhancement algorithms are applied to extract clear voice data, while multilingual support enables caption generation in Korean, English, Chinese, and other languages.

Generated caption files can be exported in various formats, including SRT and VTT, and provide seamless caption synchronization through accurate timestamps and sync features. A web-based management system allows users to easily upload audio files and monitor the caption generation process, while API integration supports smooth connectivity with existing online platforms. Security features and data encryption protect users' personal information and audio data, and a cloud-based scalable architecture ensures high-volume traffic handling and system stability.