Local-File-Organizer is an AI-powered file management system designed to automatically analyze, categorize, and reorganize files stored on a user’s local machine. The project focuses on privacy-first file organization by performing all processing locally rather than sending data to external cloud services. It uses language and vision models to understand the contents of documents, images, and other file types so that files can be grouped intelligently according to their meaning or context. The system scans directories, extracts relevant information from files, and restructures folder hierarchies to make content easier to locate and manage. Through AI-driven analysis, the software can detect themes, topics, and metadata in files, allowing it to organize information in ways that traditional rule-based file managers cannot achieve. The tool supports multiple sorting strategies that allow users to categorize files by content, date, or type depending on their workflow preferences.
Features
- AI-powered analysis of file contents to determine organization structure
- Local processing that keeps all files private on the user’s machine
- Automatic scanning and restructuring of folders and directories
- Support for multiple sorting strategies including content, date, and file type
- Integration with language and vision models for understanding documents and images
- Command-line interface with progress tracking and preview modes