2025-09-09 00:00:00 OTOBOOK: Automated Library Cataloging System Based on OCR, AI, and RPA Background and Urgency In the rapidly evolving digital era, libraries as information-providing institutions face significant challenges in managing increasingly growing collections. The East Java Provincial Library, as one of the leading educational and research institutions, holds crucial responsibility in providing relevant, accurate, and easily accessible information to the community. However, reality shows that traditional cataloging processes still conducted manually have become the main bottleneck in modern library operations. Empirical data reveals cataloging error rates reaching 1.42%, with a more concerning figure that 64.2% of these errors went undetected or unresolved. This situation not only impacts library service quality but also creates disproportionate workloads for librarians who must handle continuously increasing work volumes.