The Youtube-Edit-Supporter application is designed to enhance the endorsing process of YouTube videos by automating key post-production tasks. This Python-based tool focuses on improving the audio quality of interviews by removing background noise, transcribing spoken text in Hebrew, and translating the transcribed text into English.
Sample: Screenshot from the application showing translated outputs
Original video source by the Ask Project
- Audio Extraction: Extract audio from MP4 video files.
- Noise Reduction: Apply noise reduction techniques to enhance audio clarity.
- Speech-to-Text: Transcribe audio content from spoken Hebrew to text.
- Translation: Translate the transcribed text into English.
- Python 3.8 or higher
- Pip for installing dependencies
Clone this repository to your local machine and install the required dependencies:
git clone https://github.com/Op27/Youtube-Edit-Supporter-HEcd Youtube-Edit-Supporterpip install -r requirements.txtFor detailed setup instructions, refer to Setup Guide in the docs directory.
To run the application, navigate to the project directory and execute:
python app.pyPlace your MP4 video files in the audio_input directory before running the application. For more detailed usage instructions, see Usage Instructions.
This project is licensed under the MIT License - see the MIT License file for details.