Video Captioning and Translating with Python and Streamlit - Source Code

Unlock the potential of video content with this comprehensive Python-based source code designed for automated video captioning and translation.

Built with advanced libraries like Streamlit, MoviePy, and Faster Whisper, this code allows you to create an intuitive web application where users can upload videos, generate captions, and translate them into multiple languages.

It's perfect for developers, content creators, or businesses looking to enhance their video accessibility and reach a global audience.

Key Features:

- Automated Video Captioning: Extracts audio from video files and transcribes it into text using Whisper, an advanced speech-to-text model.

- Multi-Language Translation: Translate captions into various languages, including Spanish, French, German, Italian, and Portuguese.

- SRT File Generation: Automatically creates and formats SRT subtitle files for easy integration with video content.

- User-Friendly Web Interface: Powered by Streamlit, offering an easy-to-use interface for uploading videos and selecting translation options.

- Customizable & Scalable: Modify the code to add more languages, customize the UI, or integrate with other services.

- Ready for Deployment: Deploy the application on platforms like Streamlit Cloud or any server of your choice with minimal setup.

What's Included:

- Full Python source code with detailed comments for easy understanding.

Ideal For:

- Developers looking to integrate video captioning and translation into their projects.

- Businesses wanting to enhance video content accessibility and reach.

- Educational institutions seeking tools for multilingual video content.