YouTube Transcript Generator

Overview 🌐

The YouTube Transcript Generator is a powerful tool designed to streamline the process of extracting and processing transcripts from YouTube videos. Whether you're looking to transcribe lectures, interviews, or any other video content, this project provides a convenient solution.

How It Can Help 🚀

This tool is particularly useful for:

• Note Taking: Quickly convert YouTube videos into text format for easy note-taking.
• Content Analysis: Analyze and derive insights from video content by converting it into text data.
• Chat Bot Training: Use the generated transcripts to train chat bots, such as ChatGPT, for natural language understanding.
• Archiving: Create a textual archive of valuable information from YouTube videos. This can be particularly useful for archiving interviews, tutorials, or any content you'd like to reference later without the need to re-watch the video.
• Personal Knowledge Base: Build a personal knowledge base by extracting and processing transcripts from YouTube videos. This can aid in consolidating information on diverse topics in a readable and accessible format.
• Accessibility Improvement: Enhance accessibility for individuals who prefer or require text-based content. The tool can be used to generate transcripts with added punctuation, improving the overall readability of the content.

Features 🛠️

• Transcription: Obtain raw transcripts from YouTube videos.
• Punctuation: Enhance transcripts by adding punctuation using deep multilingual punctuation models.
• Chapter Detection: Identify and separate chapters in the video based on provided timestamps.
• User-friendly: Easy-to-use script with customizable parameters.

Environment Variables 🌐

• YOUTUBE_API_KEY: Set up your Google API key for video information retrieval. You will need to create a Project in the Google Cloud for this and enable the YouTube v3 API. This is optional, if you don't add it, the chapters will not be added.

Script Parameters 📜

When running the script locally, you can pass these parameters to the script:

Positional Argument:

• url: YouTube video URL

Optional Arguments:

• -h, --help: Show the help message and exit
• -l LANGUAGE, --language LANGUAGE: Language for the transcript (default: en)
• -p, --punctuated: Generate punctuated transcript (default: False)
• -a, -auto-open: Automatically open the transcript in the default app (default: False)
• -o OUTPUT_DIR, --output_dir OUTPUT_DIR: Output directory for saving the transcript (default: current directory)
• -f FILENAME, --filename FILENAME: Filename for saving the transcript (default: Video Title or Video Id)
• -m PUNCTUATION_MODEL, --punctuation_model PUNCTUATION_MODEL: Path to the punctuation model (default: None)
• -v, --verbose: Print verbose output (default: False)

Run in Google Colab 🚀

To run this project in Google Colab, follow these steps:

1. Open the Google Colab Notebook.
2. Add Google's Project API key to the secrets tab under this key: YOUTUBE_API_KEY and toggle notebook access to on.
3. Go to Runtime > Change Runtime Type and select T4 GPU type. If you use CPU, the output for punctuated transcript will take some minutes to complete (around 1 minute per 10-minute video)
4. Change the values in the second cell to include your URL etc.
5. Press CTRL+F9 or CMD+F9 to run the notebook.

Run Locally 💻

I do not recommend running locally as it will download tensors and other stuff which are over 6gb. But if you want you can do this:

1. Clone the repository: git clone https://github.com/therohitdas/Youtube-Transcript-Generator.git && cd Youtube-Transcript-Generator
2. Create a virtual environment: python -m venv venv
3. Activate the virtual environment: source venv/bin/activate (Linux/MacOS) or venv\Scripts\activate (Windows)
4. Install dependencies: pip install -r requirements.txt
5. Set up the required environment variables: YOUTUBE_API_KEY (optional). You can either create a .env file or set them up in your system using.
6. Run the script: python index.py <YouTube_URL> or python index.py -h for the help menu.

Support 🤝

For any issues or feature requests, please create an issue.

Example 📋

Here's an example of how to run the script with various options:

Basic Usage

python index.py https://www.youtube.com/watch?v=VIDEO_ID

Specify the Language

python index.py https://www.youtube.com/watch?v=VIDEO_ID -l fr

Generate a Raw Transcript

python index.py https://www.youtube.com/watch?v=VIDEO_ID

Generate a Punctuated Transcript

python index.py https://www.youtube.com/watch?v=VIDEO_ID -p

Specify the Output Directory

python index.py https://www.youtube.com/watch?v=VIDEO_ID -o /path/to/output

Specify a Custom Filename

python index.py https://www.youtube.com/watch?v=VIDEO_ID -f custom_filename

Enable Verbose Mode

python index.py https://www.youtube.com/watch?v=VIDEO_ID -v

Specify a Punctuation Model

python index.py https://www.youtube.com/watch?v=VIDEO_ID -m author/model_name

Punctuation model name can be taken from here.

Make sure to replace https://www.youtube.com/watch?v=VIDEO_ID with the actual URL of the YouTube video you want to process.

Feel free to copy and paste these examples into your terminal.

Acknowledgments 🙌

This script utilizes the youtube-transcript-api and fullstop-punctuation-multilang-large libraries. Special thanks to their contributors.

Feel free to adapt and use the script based on your requirements. Enjoy the convenience of YouTube transcript processing!

Connect with me 📧

The best way to connect is to email me namaste@theRohitDas.com

• x/therohitdas
• GitHub/therohitdas

🚀 Happy transcribing!