This project focuses on developing a Nepali Speech Recognition System capable of converting spoken Nepali language into text. Speech recognition is a complex task due to variations in accents, dialects, contextual meanings, and environmental noise. While significant advancements have been made in major languages, automated speech recognition for Nepali remains in its early stages. To address this gap, the project utilizes Natural Language Processing (NLP) tools such as CMUSphinx, PocketSphinx, SphinxTrain, and SphinxBase to recognize and process Nepali speech. The system was trained using a custom dataset containing 33 Nepali sentences spoken by two individuals and achieved approximately 85% accuracy. This application has strong potential to assist disabled individuals and non-literate Nepali speakers by enabling speech-to-text document creation, demonstrating the practical value of speech recognition technology in the Nepali language context.