This article introduces the JianYi software, which integrates AI large models and multi-scale object-oriented technology to accurately segment, extract, and correct remote sensing images. Specifically, AI large models and multi-scale object-oriented segmentation are used to address object segmentation issues, while multiple AI models and object-oriented extraction methods are employed to tackle object extraction challenges. Finally, multi-scale object-oriented editing and vector smoothing export are utilized to refine the extraction results and facilitate image export. The JianYi software has been successfully applied in multiple provinces and cities, supporting various domestic chips, demonstrating the powerful advantages of combining AI with traditional algorithms.