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AI File Sorter is a cross-platform desktop application that uses AI to organize all files and suggest better file names for image files, based on their visual content.
The app can analyze picture files locally and suggest meaningful, human-readable names. For example, a generic file like IMG_2048.jpg can be renamed to clouds_over_lake.jpg. All rename and categorization suggestions are optional and must be reviewed and approved before anything is applied.
AI File Sorter helps tidy up cluttered folders such as Downloads, external drives, or NAS storage by grouping files based on filenames, extensions, folder context, and learned organization patterns.
The application can run fully offline using local AI models such as Mistral 7B or LLaMa 3B. When using local models, all processing happens entirely on your device — no files, images, or metadata are uploaded, and no telemetry is sent.
Features
- Image content analysis & rename suggestions: Analyze picture files locally and suggest descriptive, human-readable filenames.
- Rename-only and move workflows: Rename files without moving them, or rename and organize in one pass.
- Privacy-first local AI: Run fully offline with local AI models - no internet connection or data uploads required.
- AI-powered categorization: Automatically assigns categories and optional subcategories using local or remote AI.
- Sorting preview (dry run): Review all category and rename suggestions before confirming changes.
- Picture-only processing mode: Focus runs on supported image files when needed.
- Customizable organization patterns: Adapts to how your files are typically named and grouped.
- Cross-platform desktop app: Available for Windows, macOS, and Linux.
- Lightweight, intuitive interface: Simple folder-based workflow with clear review dialogs.
- Multilingual interface: Supports multiple UI languages, with localized progress and status messages.
- Secure API key handling: Optional remote AI keys are stored securely.
- Update notifications: In-app notifications for optional or required updates.
Project Samples
