SlothSort: A Local AI File Organizer That Believes Slow and Steady Wins

Description and use

SlothSort is a local Python tool that uses Streamlit and Ollama with Qwen 2.5 1.5B to automate file categorization, duplicate detection, and AI‑generated naming suggestions while keeping the user in control of final actions.

Problem

Users spend excessive time manually sorting files, identifying duplicates, and organizing folders.

Outcome

SlothSort automates file categorization, duplicate detection, and AI‑assisted naming while keeping the user in control of final actions.

Workflow

• Select folder to scan
• Read files and compute SHA‑256 hashes
• Group files by file extension
• Request filename suggestions from local Ollama model (Qwen 2.5 1.5B)
• Display proposed moves and previews
• User approves or rejects each action
• Apply approved file moves

Evidence

SlothSort is a Python-based file organizer that explores how local AI can make everyday file management simpler.

Source

Uses Ollama with Qwen 2.5 1.5B to generate filename suggestions.

Source

Duplicate Detection: Uses SHA-256 hashes to identify files with identical contents.

Source

The project runs locally through Streamlit.

Source