TemporalLabsLLC YouTube Transcriber is an advanced tool designed to convert lists of YouTube videos into text data that can be further distilled for a generative AI pipeline. This functionality is crucial for creating insightful information and driving AI models with rich text data.

Finishing up local portability testing now. Release will be on here VERY SOON.

There is a teaser demo on YouTube:

Click the image above to watch the tutorial on YouTube.

• Convert YouTube videos to text data.
• Seamlessly handle lists of videos.
• Ideal for generative AI pipelines.
• Modular design for easy integration with other AI tools.

• Python 3.10.9 for Windows
• pip

1. Clone the repository:

   git clone https://github.com/TemporalLabsLLC-SOL/TemporalLabsLLC-YouTubeTranscriber.git
   cd TemporalLabsLLC-YouTubeTranscriber

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate   # On Windows use `venv\Scripts\activate`

Dependencies should install according to your setup but I'm still testing how compatible it is across builds. I kept these for now.

3. Install dependencies:

   pip install -r requirements-cpu.txt   # or requirements-cuda.txt for CUDA support

1. Run the main script:

   python SOLTRANS.py

2. Follow the on-screen instructions to convert YouTube videos to text data.

This project is licensed under the MIT License - see the LICENSE file for details.

If you find this project useful, please consider donating to support further development.

For any inquiries, please contact us at [email protected].