VideoCC Extractor

A Python-based tool for extracting closed captions from video files. This project allows users to extract subtitles or closed captions embedded in video files using various techniques.

Features

• Extracts subtitles/closed captions from video files.
• Supports multiple video formats.
• User-friendly interface for selecting video files and extracting captions.

Installation

1. Clone the repository:

   git clone https://github.com/VipulMore11/videocc_extractor.git

2. Navigate to the project directory:

   cd videocc_extractor

3. Create a .env file in the root directory of the project and add the necessary environment variables:

   # .env file
   
   # Django settings
   SECRET_KEY=your-secret-key
   DEBUG=False
   
   # AWS settings
   AWS_ACCESS_KEY_ID=your-aws-access-key
   AWS_SECRET_ACCESS_KEY=your-aws-secret-access-key
   AWS_STORAGE_BUCKET_NAME=your-bucket-name
   AWS_S3_REGION_NAME=your-region-name
   
   # Redis and Celery settings
   CELERY_BROKER_URL=redis://localhost:6379/0
   CELERY_RESULT_BACKEND=redis://localhost:6379/0
   
   DYNAMO_TABLE_NAME=your-dynamo-table-name

   Replace the placeholder values with your actual configuration.

4. Install the required dependencies:

   pip install -r requirements.txt

5. Run the Redis server (if not already running):

   redis-server

   Ensure that Redis is properly installed on your system. You can follow the official Redis installation guide if needed.

Usage

1. Run the application:

   python manage.py runserver

2. Access the application through your web browser at http://localhost:8000.
3. Follow the on-screen instructions to upload video files and extract captions.

Technologies Used

• Python
• Django
• HTML/CSS (for the interface)

Contributing

Contributions are welcome! Please follow these steps to contribute:

1. Fork the repository.
2. Create a new branch: git checkout -b feature-name.
3. Make your changes and commit them: git commit -m 'Add new feature'.
4. Push to the branch: git push origin feature-name.
5. Submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.