AudioHush - A noise Reduction Web App

This web application allows users to reduce background noise from videos by leveraging the power of ffmpeg. Simply provide a direct link to the video, and our server will process it asynchronously using ffmpeg to deliver a noise-free version.

Usage

1. Clone the repository:

2. Install dependencies:

3. Start the express server, redis server and react application:

4. Access the web application in your browser.

User Interface

How it Works

1. Upload a Video: Users should provide a direct link to the video file. Links from services like Google Drive or Dropbox.

2. Processing Queue: Once the user submits a video link, it is added to a processing queue. Due to the potentially time-consuming nature of ffmpeg processing, it is handled asynchronously in a background worker.

3. Task ID: After submitting the video, the user is provided with a unique task ID. They are instructed to check back after a few minutes.

4. Check Progress: Users can return to the web app later and enter their task ID to check the processing status.

• If the video is processed, a download link will be provided, allowing the user to retrieve the noise-reduced video.
• If the video is still in the queue, the user will be informed that it is "in-progress" and should check back later.
• If the processing fails, "failed" error message will be displayed.

Tech Stack

The project is built using the following technologies and tools:

• Node/Express: The web application user interface is developed using Node.js and Express framework.

• Background Job Processor: To handle asynchronous processing, we utilize a background job processor such as Bull. You can choose the one that suits your requirements.

• Redis: Redis is integrated to support the background job processing and task management.

• ffmpeg: The ffmpeg command line tool is employed to remove noise from the videos.

License

This project is licensed under the MIT License. Feel free to use, modify, and distribute the code as per the license terms.

Acknowledgements

I would like to express my gratitude to the developers of ffmpeg and the bull. Their invaluable tools and contributions make this project possible.