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Local File Organizer v1.0.0 — Qwen AI Edition
🚀 Local File Organizer v1.0.0 — Privacy-First Desktop & File Organizer
Local File Organizer is a powerful, 100% offline desktop organization tool designed to keep your workspace clean without compromising your privacy. Built with a dual-engine architecture: lightning-fast rule-based sorting and semantic local AI categorization powered by Qwen 3.5 (2B) via Ollama.
✨ Key Features
- 🔒 100% Privacy & Offline: No cloud APIs, no analytics, zero data leakage. All operations run strictly on your local hardware.
- ⚡ Dual Sorting Modes:
- Fast Rule-Based Mode: Organizes hundreds of files by MIME categories and extensions in milliseconds.
- AI Semantic Mode: Uses local Qwen 3.5 2B to read document snippets and group files into contextual folders.
- 🛠️ Auto-Detection & Self-Healing: Automatically detects and silently starts local Ollama background services. Live visual connection badge (
🟢 AI Ready/🟡 Starting...). - 🎨 Modern Dark & Light Themes: Instant UI theme toggle with persistent configuration.
- 🌐 Bilingual UI: Full English & Turkish (Türkçe) support with one-click live switching.
- 🛡️ Safe Staging Protocol: Atomically stages files (
.part), verifies SHA-256 checksums before overwriting, and keeps full undo rollback logs. - 🐧 Cross-Platform: Standalone one-click Windows executable (
Desktop-Organizer.exe) and native Linux runner (run_linux.sh).
💻 Hardware Requirements
🔹 Minimum Requirements (CPU Inference)
Ideal for Fast Mode and basic CPU AI inference:
- CPU: 4 Cores (Intel Core i5 8th Gen / AMD Ryzen 3 3000 series or newer)
- RAM: 8 GB DDR4
- Graphics: Integrated Graphics (Intel UHD / Iris Xe or AMD Radeon Vega)
- AI Processing Speed: ~20–45 seconds per document via CPU inference.
🌟 Recommended Requirements (GPU Accelerated)
Fast, real-time AI processing with local GPU acceleration:
- CPU: 6+ Cores (Intel Core i5/i7 11th Gen+ / AMD Ryzen 5 5000 series+)
- RAM: 16 GB DDR4/DDR5
- GPU: Dedicated NVIDIA (GTX 1650 4GB / RTX series) or AMD Radeon (RX 6000 series+)
- AI Processing Speed: ~3–8 seconds per document via GPU inference.
📦 Download & Run
Windows:
- Download
Local-File-Organizer-v1.0.0.zipattached below and extract it. - (Optional for AI Mode) Install Ollama and run
ollama pull qwen3.5:2b. - Double-click
Desktop-Organizer.exeand start organizing!
🐧 Linux:
- Extract the package:
unzip Local-File-Organizer-v1.0.0.zip - Run the shell script:
chmod +x run_linux.sh ./run_linux.sh
Author & Credits
Maintainer / Enhancements: Ihsan-AI
Upstream Base: Forked & enhanced from QiuYannnn/Local-File-Organizer
(MIT License).