Edit Mind

What is Edit Mind?

Edit Mind is a powerful web application designed to index videos using advanced AI technologies such as object detection, face recognition, and emotion analysis. Its core purpose is to enhance video content accessibility by allowing users to perform semantic searches through natural language queries. By leveraging AI for rich metadata extraction, Edit Mind transforms how users interact with their video libraries, making it easier to find specific scenes or moments based on spoken words, objects, or faces.

The application runs fully locally, ensuring user privacy while providing robust functionality. It is built to operate on any computer or server with Docker installed, making it highly versatile for different environments. As of now, Edit Mind is in active development and is not yet production-ready, inviting contributors to help refine its features before reaching version 1.0.

Key Features

• Video Indexing and Processing: Automatically indexes new video files and queues them for AI-powered analysis.
• AI-Powered Video Analysis: Extracts detailed metadata, including face recognition, transcription, object detection, and scene analysis.
• Vector-Based Semantic Search: Utilizes ChromaDB for powerful natural language search capabilities across video content.
• Dual Interfaces: Provides access to the video library through a user-friendly web application.
• Privacy-Focused: Runs entirely on local machines, ensuring that user data remains private and secure.

How to Use Edit Mind

To get started with Edit Mind, follow these key steps:

1. Prerequisites: Ensure you have Docker Desktop installed and running on your machine.
2. Project Setup: Create a new directory for the project:

   mkdir edit-mind
   cd edit-mind
   

3. Configure Docker File Sharing: Set up Docker to access your media folder by adjusting settings in Docker Desktop (for macOS/Windows) or ensuring file sharing is enabled (for Linux).
4. Environment Variables Configuration: Create your personal configuration files by copying the example files provided in the repository and customizing them to fit your setup.
5. Run the Application: Use Docker Compose to start the application, allowing it to begin indexing your video files.

Use Cases

• Content Creators: Ideal for video editors and content creators who need to quickly locate specific scenes or clips based on dialogue or visual elements.
• Researchers: Useful for academic researchers analyzing video data, enabling them to search for specific content within large video datasets.
• Marketing Teams: Helps marketing professionals find relevant video content for campaigns by searching through promotional videos based on keywords or themes.
• Educators: Beneficial for teachers and educators who want to index educational videos and make them easily searchable for students.
• Film Editors: Assists film editors in managing and searching through footage, making the editing process more efficient.

FAQ

Q: Is Edit Mind free to use?
A: Yes, Edit Mind is open-source and free to use under the MIT license.

Q: What are the system requirements for running Edit Mind?
A: Edit Mind requires Docker to be installed on your machine. It can run on any computer or server that supports Docker.

Q: Can I contribute to the development of Edit Mind?
A: Absolutely! Edit Mind is in active development, and contributions are welcome to help improve its features and functionality.

Q: How does Edit Mind ensure user privacy?
A: Edit Mind runs entirely locally on your machine, meaning your video data is not uploaded to any external servers, ensuring complete privacy.

Q: What kind of AI technologies does Edit Mind use?
A: Edit Mind utilizes various AI technologies including OpenCV, PyTorch, and OpenAI Whisper for video analysis and metadata extraction.