Cleaner AI positions itself as a comprehensive iOS utility application designed to address common smartphone storage management challenges through artificial intelligence. Developed by Codespace Dijital Hizmetler Anonim Şirketi, the app leverages machine learning algorithms to analyze device contents and provide actionable insights for storage optimization. The application's core functionality revolves around several key areas: duplicate photo and video identification, contact list consolidation, and privacy protection for sensitive files. The storage analysis feature provides detailed breakdowns of space consumption across categories including photos, videos, applications, and system files. The duplicate detection system employs visual recognition technology to identify identical or similar images regardless of filename or metadata differences, allowing users to reclaim significant storage space through bulk deletion operations. User experience centers around a streamlined interface that presents storage statistics through visual dashboards and progress indicators. The cleaning process follows a three-step workflow: comprehensive device scanning, detailed results presentation with file preview capabilities, and selective or automated cleanup execution. Real-world usage patterns indicate most users employ the application for periodic maintenance rather than continuous operation, typically initiating scans when receiving low storage warnings or before major iOS updates. User feedback trends consistently highlight the application's effectiveness in managing large photo libraries, with multiple reviewers specifically noting success with collections exceeding 30,000 images. Reviewer Mismae82 (August 5, 2025) reported exceptional performance with extensive photo libraries, while Copycutter (July 1, 2025) emphasized the speed and simplicity of duplicate removal processes. These positive experiences are tempered by occasional mentions of subscription pricing considerations in broader app store feedback not included in the provided samples. The application demonstrates particular strength in photographic content management but shows limitations in addressing systemic iOS storage issues beyond user-generated content. While highly effective for media duplication and contact management, it cannot modify system-reserved storage or optimize core iOS functions. Ideal use cases involve users with extensive photo libraries, those experiencing contact list fragmentation across multiple accounts, and individuals seeking simplified privacy protection for personal media without complex manual workflows.