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AI File Organizer

AI File Organizer is a Python application for classifying and organizing local files using computer-vision and audio-analysis features. It includes a seven-day observation stage, adjustable confirmation modes, learning from user corrections, duplicate checks and rollback. Optional Google Drive offloading and custom-classifier plugins extend its organization workflow.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

AI File Organizer — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want a locally configured file organizer with staged observation and selectable levels of human confirmation, or when you need a Python project to extend with custom classifiers.

Who it is for

  • People who want help sorting local files while retaining configurable levels of review.
  • Python users who want to adapt file classification through custom plugins.

Documented uses

  • Classify and organize files from configured folders.
  • Observe files during a seven-day staging period before organizing them.
  • Choose whether organization requires confirmation or runs automatically.
  • Check potential duplicates by size, MD5 and SHA256.
  • Undo an organization action or extend classification with custom plugins.
Before you choose

Requirements & limits

The repository is public and identifies the project as MIT-licensed. The README lists Python 3.10 or later and macOS, Linux or Windows; Google Drive is optional for cloud offloading.

  • The project requires a Python 3.10+ environment on a listed desktop operating system.
  • The seven-day staging period and four confidence modes let users vary the amount of oversight.
  • Google Drive is an optional integration for cloud offloading, not a stated requirement for local organization.
  • Custom classifiers use a plugin system; the README points to plugins/README.md for the API.
  • The README's clone snippet uses an example-org URL that differs from the repository's thebearwithabite owner, so check the clone address before setup.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare the application and configure monitored folders

Set up the documented Python environment and edit the file paths used by the organizer.

Before you start

  • Python 3.10 or later
  • macOS, Linux or Windows
  • A local copy of the repository and its requirements file

Steps

  1. Clone the repository and change into its directory.

  2. Create and activate a Python virtual environment.

  3. Install dependencies from requirements.txt.

  4. Copy config.example.yaml to config.yaml and edit the paths, including monitored folders and storage locations.

Expected outcome

A configured local environment with file-monitoring and storage paths set in config.yaml.

Guide limitations

  • This guide covers setup and configuration; it does not verify successful execution.
  • Google Drive is optional and is only needed for cloud offloading.
  • The README's clone command names example-org rather than the repository owner shown in the repository URL; confirm the correct clone URL before using it.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
14 October 2026
Original website title
thebearwithabite/ai-file-organizer · Official homepage title · retained in its source language
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