AI File Sorter: Organize Your Files with Local AI and Visual LLMs

This repository profile is provided by osrepos.com, an open source repository discovery platform.

AI File Sorter: Organize Your Files with Local AI and Visual LLMs

Summary

AI File Sorter is a powerful cross-platform desktop application designed to automate file organization using AI. It leverages local LLMs for privacy-first categorization and can even suggest better filenames for images based on their visual content. This tool helps reduce clutter and improve file discoverability across various storage locations.

Repository Information

Analyzed by OSRepos on January 24, 2026

Topics

Click on any tag to explore related repositories

Use at your own risk

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.

Introduction

AI File Sorter is a powerful, cross-platform desktop application designed to automate file organization using artificial intelligence. It intelligently categorizes files and can even suggest more descriptive filenames for images by analyzing their visual content. Built with a privacy-first approach, the application primarily uses local LLMs (Large Language Models) like LLaMa and Mistral, ensuring that your files and data never leave your device. It aims to reduce digital clutter, improve consistency, and make your files easier to find for review, archiving, or long-term storage.

Installation

Getting started with AI File Sorter is straightforward. For most users, the easiest way is to use the prebuilt packages or installers available for your operating system.

  • Linux: Prebuilt Debian/Ubuntu packages are available, which can be installed using sudo apt install ./aifilesorter_1.0.0_amd64.deb after installing runtime prerequisites.
  • macOS: Users can install dependencies via Homebrew and then build from source, or use provided binaries.
  • Windows: The recommended method involves using CMake with vcpkg, or the Qt online installer, after setting up Visual Studio 2022.

Detailed instructions for building from source and specific dependencies for various Linux distributions are available in the official GitHub repository.

Examples

Using AI File Sorter involves a simple, guided process:

  1. Select a Directory: Point the application to the folder or drive you wish to organize.
  2. Analyze Files: The app scans files, and for images, analyzes their content locally using a visual LLM.
  3. Review Suggestions: A review dialog presents suggested categories, subcategories, and optional filename changes for images. You can sort, adjust, or approve these suggestions.
  4. Confirm & Sort: With "Dry run (preview only, do not move files)" enabled, you can inspect planned moves without altering your files. Once satisfied, click "Confirm & Sort!" to execute the organization.
  5. Undo Last Run: The application saves a persistent undo plan, allowing you to revert the last sorting operation via "Edit ? Undo last run" if needed.

Key features include customizable sorting rules, two categorization modes ("More refined" for detail or "More consistent" for uniformity), and the ability to define category whitelists to constrain model output.

Why Use It

AI File Sorter stands out for several compelling reasons:

  • Intelligent Automation: Moves beyond rigid rules, learning your organization patterns over time to provide more consistent and relevant categorization and naming suggestions.
  • Privacy-First: By utilizing local LLMs, it ensures that your sensitive files, filenames, images, and metadata are processed entirely on your device, with no data uploaded or telemetry sent.
  • Enhanced Discoverability: Reduces clutter and applies meaningful names, making it significantly easier to locate files later.
  • Cross-Platform Support: Available on Windows, macOS, and Linux, providing a consistent experience across different environments.
  • Flexibility and Control: Offers various categorization modes, category whitelists, and the option to use remote LLMs (like ChatGPT or Gemini) with your own API keys for advanced scenarios, while always requiring your approval before any changes are applied.
  • Visual Content Analysis: A unique feature that analyzes image content to suggest descriptive filenames, transforming generic names into something meaningful.

Links

Related repositories

Similar repositories that may be relevant next.

OpenMontage: The First Open-Source, Agentic Video Production System

OpenMontage: The First Open-Source, Agentic Video Production System

June 29, 2026

OpenMontage is the world's first open-source, agentic video production system, designed to transform your AI coding assistant into a full video production studio. It features 12 pipelines, 52 tools, and over 500 agent skills, enabling end-to-end video creation from a simple prompt. This powerful tool handles research, scripting, asset generation, editing, and final composition, including the unique ability to produce real video from stock footage.

agentic-aivideo-productionopen-source
Guardrails: Enhancing LLM Reliability and Structured Data Generation

Guardrails: Enhancing LLM Reliability and Structured Data Generation

June 26, 2026

Guardrails is a Python framework designed to build reliable AI applications by adding guardrails to large language models. It helps detect, quantify, and mitigate risks in LLM inputs/outputs, and facilitates the generation of structured data. This framework ensures more predictable and safer interactions with AI models.

aifoundation-modelllm
OpenPencil: The AI-Native, Open-Source Figma Alternative Design Editor

OpenPencil: The AI-Native, Open-Source Figma Alternative Design Editor

June 21, 2026

OpenPencil is an innovative AI-native design editor, serving as a powerful open-source alternative to Figma. It supports .fig files, integrates AI for design creation, and provides a fully programmable toolkit with a headless Vue SDK. This project emphasizes real-time collaboration and local data control, making it a compelling choice for designers and developers seeking flexibility and ownership.

aidesign-editorfigma-alternative
REAL Video Enhancer: AI-Powered Video Interpolation, Upscaling, and Denoising

REAL Video Enhancer: AI-Powered Video Interpolation, Upscaling, and Denoising

June 19, 2026

REAL Video Enhancer is a powerful open-source application designed to enhance video quality across Linux, Windows, and macOS. It leverages AI models for advanced video processing tasks such as frame interpolation, upscaling, decompression, and denoising. This tool provides a modern alternative to older software, making high-quality video enhancement accessible to a wider audience.

video-enhancementaiupscaling

Source repository

Open the original repository on GitHub.

View on GitHub
OS
OSRepos

Analysis and discovery of open source repositories. Find interesting projects and follow their updates.

Monitor your website with YourWebsiteScore

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of third-party repository code is at your own risk. Always review source code, dependencies, licenses, and security implications before running anything.

© 2025 OSRepos. Built with Nuxt 3 and lots of ❤️