YouTube Shorts to Blog Converter

This Python script allows you to convert YouTube Shorts videos into blog posts automatically. It downloads the video, extracts audio, transcribes it, generates a blog using the Ollama language model, and posts it to Google Blogger with an embedded thumbnail. This tool is perfect for micro-learning and micro-earning by leveraging free tools like Google Blogger for monetization.

How the Script Works

The script follows a step-by-step process to convert YouTube Shorts videos into blog posts:

1. Download the Video

• The script uses the yt-dlp library to download the YouTube Shorts video in MP4 format.
• The video title and ID are extracted for naming and identification purposes.

2. Extract Audio

• The script uses MoviePy to extract audio from the downloaded video.
• The audio is saved as a .wav file for transcription.

3. Transcribe Audio to Text

• The script uses the Vosk open-source speech recognition model to transcribe the audio into text.
• Vosk supports multiple languages and provides accurate transcriptions.

4. Generate Blog Content

• The transcribed text is passed to the Ollama language model (version 3.2) to generate a blog post.
• The blog includes a title and body, written in a friendly and easy-to-understand style.

5. Extract Random Frames

• The script extracts random frames from the video using the imageio library.
• These frames are resized and cropped to fit a landscape aspect ratio.

6. Post to Google Blogger

• The script authenticates with the Google Blogger API using OAuth 2.0.
• It creates a new blog post with the generated content and embeds the first frame as a thumbnail.
• The blog post is published to your Blogger account.

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Features

1. Automated Blog Creation:

   • Converts YouTube Shorts videos into blog posts with minimal user input.
   • Generates a blog title and body using the Ollama language model.

2. Micro-Learning:

   • Transcribes video content into text for easy reading and learning.
   • Ideal for creating educational content from short videos.

3. Micro-Earning:

   • Automatically posts blogs to Google Blogger, enabling monetization through ads.
   • Free to use with no additional costs for tools (except YouTube API if used).

4. Customizable:

   • Supports scraping multiple Shorts links from a YouTube channel.
   • Allows processing a single video link for quick blog creation.

5. Open Source:

   • Free to use, modify, and distribute.

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Prerequisites

Before using this script, ensure you have the following installed and set up:

1. FFmpeg

FFmpeg is required to extract audio from videos. Install it using the following steps:

• Windows:

  1. Download FFmpeg from https://ffmpeg.org/download.html.
  2. Extract the downloaded zip file.
  3. Add the bin folder to your system's PATH environment variable.

• Linux:

  sudo apt update
  sudo apt install ffmpeg

• macOS:

  brew install ffmpeg

2. Ollama 3.2

Ollama is used to generate blog content from video transcripts. Install it as follows:

1. Visit the Ollama GitHub repository for installation instructions.
2. Download and install Ollama for your operating system.
3. Ensure the Ollama server is running locally.

3. Python Dependencies

Install the required Python libraries using pip:

pip install -r requirements.txt

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How to Use

Step 1: Set Up Google Blogger API

1. Go to the Google Cloud Console.
2. Create a new project.
3. Enable the Blogger API for your project.
4. Create OAuth 2.0 credentials and download the credentials.json file.
5. Place the credentials.json file in the project directory.

Step 2: Configure the Script

1. Clone this repository:

   git clone https://github.com/talha828/Reel-To-Blog.git
   cd Reel-To-Blog

2. Install the required Python libraries:

   pip install -r requirements.txt

Step 3: Run the Script

1. Run the script:

   python main.py

2. Choose one of the following options:

   • Scrape a YouTube Channel:
     • Enter the YouTube channel URL (e.g., https://www.youtube.com/@zackdfilms).
     • Specify the number of Shorts links to scrape.
   • Create a Single Blog Post:
     • Provide a YouTube Shorts link directly.

3. The script will:

   • Download the video.
   • Extract audio using MoviePy.
   • Transcribe the audio using the Vosk open-source model.
   • Generate a blog using Ollama.
   • Post the blog to Google Blogger with an embedded thumbnail.

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Benefits

1. Micro-Learning

• Convert short, engaging videos into readable blog posts.
• Ideal for summarizing educational content or tutorials.

2. Micro-Earning

• Automatically post blogs to Google Blogger for monetization.
• Earn through Google AdSense by driving traffic to your blog.

3. Free Tools

• Uses free tools like Google Blogger, Ollama, MoviePy, and Vosk.
• No additional costs for software or APIs (except YouTube API if used).

4. Time-Saving

• Automates the entire process of downloading, transcribing, and posting.
• Focus on creating content while the script handles the rest.

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Example Workflow

1. Scrape a YouTube Channel:

   • Input: https://www.youtube.com/@zackdfilms
   • Output: 50 Shorts links scraped and processed into blog posts.

2. Create a Single Blog Post:

   • Input: https://www.youtube.com/shorts/PZ3EInK8eRU
   • Output: A blog post titled "Why Do Nose Bleeds Happen?" with transcribed content.

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Troubleshooting

1. Invalid File Path Error

• Ensure the video title does not contain invalid characters (e.g., ?, !, emojis). The script automatically sanitizes file names.

2. Ollama Not Running

• Start the Ollama server locally before running the script.

3. FFmpeg Not Found

• Verify that FFmpeg is installed and added to your system's PATH.

4. Google Blogger API Issues

• Ensure the credentials.json file is correctly placed in the project directory.
• Authenticate using the OAuth flow when prompted.

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Contributing

Contributions are welcome! If you have suggestions or improvements, feel free to open an issue or submit a pull request.

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License

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

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Support

If you find this project helpful, consider giving it a ⭐ on GitHub. For questions or issues, open an issue in the repository.

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Happy blogging! 🚀

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