Speech -To-SQL Conversion Using Natural Language Processing

In today’s digital world, speech-based interfaces have become an efficient way for humans to interact with computers, offering faster and more intuitive communication compared to traditional typing. This paper presents a Voice-to-SQL system that enables users to query relational databases directly through spoken commands. The system integrates speech recognition and intelligent query generation to convert natural language input into executable SQL statements, allowing users to perform Create, Read, Update, and Delete (CRUD) operations and advanced queries without prior knowledge of SQL syntax. The implementation involves real-time audio recording, speech-to-text conversion, dynamic SQL generation, and database execution with visual query result display. Unlike conventional text-to-SQL systems, the proposed approach emphasizes usability, interactivity, and accessibility, making database management easier for non-technical users. Furthermore, the system supports advanced operations such as filtering, sorting, and conditional queries, serving as a foundation for an interactive learning platform. Experimental results demonstrate the potential of speech-based database interaction to reduce technical barriers, enhance productivity, and promote more natural human–computer communication.