Smart File Organizer: An Intelligent Automatic File Classification Tool Based on Large Language Models

Smart File Organizer is an open-source intelligent automatic file classification tool that uses Large Language Model (LLM) technology for intelligent file sorting. It supports local Ollama and cloud-based OpenRouter API, enabling fully deterministic automated file organization based on file metadata. It aims to address the pain points of traditional manual classification, which is time-consuming, labor-intensive, and error-prone.

In the digital age, a large number of files accumulated on computers are scattered in various places, forming an unmanageable digital maze. Traditional file management relies on manual classification, which is not only time-consuming and labor-intensive but also error-prone. The emergence of Smart File Organizer is precisely to solve this pain point, realizing fully automated file classification through the intelligent capabilities of LLM.

Smart File Organizer adopts a modular architecture design and supports multiple LLM backends:

• Local Deployment: Integrates the Ollama framework, allowing the operation of open-source models like Llama and Mistral. It ensures file metadata remains local, making it suitable for handling sensitive documents.
• Cloud Access: Accesses commercial models such as GPT-4, Claude, and Gemini via the OpenRouter API, enabling users to enjoy advanced AI capabilities without a local GPU.

The tool's workflow includes:

1. Directory Scanning and Metadata Extraction: Scans specified directories and extracts metadata such as file names, extensions, creation/modification times.
2. LLM Semantic Analysis: Uses the model to infer file content categories, e.g., identifying financial reports or photos.
3. Deterministic Classification Decision: Ensures the same input produces the same result through prompt design, avoiding randomness.
4. Automatic File Movement: Moves files to predefined target directories based on classification results.

• Individual Users: Organize download folders, desktop files, photos, and document libraries.
• Development Teams: Classify code files, configuration files, documents, and logs.
• Enterprise Document Management: Serve as a front-end tool for pre-classifying newly uploaded files to improve management efficiency.

Core Advantages:

• Intelligence: LLM's semantic understanding capability improves classification accuracy.
• Flexibility: Supports local/cloud models to adapt to different privacy and resource requirements.
• Determinism: Consistent and predictable results.
• Open-source and Free: Customizable for use.

Potential Limitations:

• Metadata Dependence: Effectiveness is limited for files with non-standard naming.
• Cloud Cost: Using the OpenRouter API incurs fees.
• Local Resources: Running local models requires certain hardware (e.g., GPU memory).

Smart File Organizer represents the intelligent development direction of file management tools. As LLM capabilities improve, it will become more intelligent and practical. For users who want to improve file management efficiency, this is an open-source solution worth trying.