Clip Kadabra

Clip Kadabra is a powerful and intuitive video editing web application designed to cater to all your video editing needs. With a range of features from trimming and merging videos to adding filters and dubbing, Clip Kadabra aims to provide a seamless video editing experience. The application leverages React for the frontend, Django for the backend, and FFmpeg for video processing functionalities.

Features

1. Trimming the Video

• Functionality: Select start and end points to trim the video to the desired length.
• Usage: Upload your video, and use the sliders to set the start and end times.

2. Merging Videos

• Functionality: Combine multiple video files into a single, cohesive video.
• Usage: Upload multiple videos, arrange them in the desired order, and merge them into one file.

3. Merging Audio to the Video

• Functionality: Add background music or any audio track to your video and synchronize it properly.
• Usage: Upload your video and audio files, and merge audio by adjusting the audio placement as needed.

4. Adding Text to the Video

• Functionality: Insert custom text into your videos with various fonts, sizes, and styles.
• Usage: Upload your video, go to the text addition section, enter your text, and drag it to the desired position on the video.

5. Adding Filters to the Video

• Functionality: Enhance the visual quality of your videos by applying different filters.
• Usage: Upload your video, choose from a variety of filter options, and apply the one that best fits your needs.

6. Dubbing the Video

• Functionality: Replace or overlay the original audio with voiceovers or dubbed audio tracks.
• Usage: Upload your video for dubbing, the tool will do the rest.

7. Timeline

• Functionality: A user-friendly timeline interface to track and edit the flow of video and audio tracks.
• Usage: Use the timeline to see all elements of your project, making it easier to manage and edit them.

Tech Stack

• Frontend: React
  • Description: A JavaScript library for building user interfaces, enabling a smooth and responsive editing experience.
• Backend: Django
  • Description: A high-level Python web framework that encourages rapid development and clean, pragmatic design.
• Video Processing: FFmpeg
  • Description: A comprehensive suite of libraries and tools for handling video, audio, and other multimedia files and streams.

Getting Started

Prerequisites

Ensure you have the following installed on your system:

• Node.js: For running the React frontend.
• Python and pip: For running the Django backend.
• FFmpeg: For video processing.

Installation

1. Clone the Repository

git clone [email protected]:Miran-Firdausi/ClipKadabra.git
cd ClipKadabra

2. Setup the Backend

Navigate to the backend directory and install the dependencies:

cd backend
python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`
pip install -r requirements.txt

Apply the migrations and start the Django server:

python manage.py migrate
python manage.py runserver

3. Setup the Frontend

Navigate to the frontend directory and install the dependencies:

cd ../frontend
npm install

Start the React development server:

npm run dev

Usage

1. Access the Application: Open your web browser and navigate to http://localhost:3000 to start using Clip Kadabra.

2. Upload and Edit Videos:

   • Use the provided interface to upload video files.
   • Select the desired editing functionalities (trimming, merging, adding audio/text, applying filters, dubbing).
   • Process the videos and download the edited files.

Contributing

We welcome contributions to improve Clip Kadabra! If you'd like to contribute, please follow these steps:

1. Fork the repository: Create a personal copy of the repository.
2. Create a new branch: For your feature or bug fix.
3. Make your changes: Ensure they are well-documented and tested.
4. Commit your changes: With clear and descriptive commit messages.
5. Push your changes: To your forked repository.
6. Open a pull request: To the main repository, describing your changes in detail.

License

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