Disclaimer: This project is not aimed to automate the creation of short video formats such as those of tiktok or youtube shorts for a profit. It is simply a tool to create attention grabbing videos for those who struggle to read without getting distracted.

Please do not use this code in order to create something similar for money-making purposes. Other than that, you are free to utilize this code, all I ask is that you give credits to me in the read me or in any other form in your project.

This project is a Python-based tool that aims to convert text extracted from a PDF file into a video with accompanying audio narration and subtitles. It is designed to provide a seamless way to turn static PDF content into engaging, multimedia-rich output.

• Text Extraction from PDF: Reads text from a PDF file using PyPDF2.
• Text-to-Speech (TTS): Converts the extracted text into speech using gTTS.
• Subtitles Generation: Automatically generates subtitles from the audio transcript using AssemblyAI's transcription API.
• Audio and Video Integration: Synchronizes the generated audio with the video.
• Subtitle Overlay: Adds timed subtitles to the video, ensuring clear and readable captions.

Ensure you have the following installed:

• Python 3.10+
• Required Python libraries:
  • PyPDF2
  • gTTS
  • moviepy
  • pysrt
  • assemblyai
• AssemblyAI API Key (sign up at AssemblyAI to get your key).

1. Clone this repository:

   git clone https://github.com/Anime-Shhh/rotify.git
   cd rotify

2. Set up a Python virtual environment (optional but recommended):

   python3 -m venv myenv
   source myenv/bin/activate  # Linux/Mac
   myenv\Scripts\activate    # Windows

3. Install the required dependencies:

   pip install -r requirements.txt

4. Place your input files (PDF, video, and font) in the files/ directory, matching the formats and names of mine(for the easiest setup)

1. Prepare the Input Files:

   • PDF File: Place your source PDF in files/random.pdf.
   • Video File: Add your base video (e.g., a background video) as files/minecraftParkour.mp4.
   • Font File: Include your desired font file (e.g., Montserrat) as files/mont/Mont-HeavyDEMO.otf.

2. Set Your API Key: Open the apiKeys.py file and update the AssemblyAIKey variable with your API key:

   AssemblyAIKey = "your_api_key_here"

3. Run the Script: Execute the script with:

   python3 main.py

4. Output: The final video will be generated in files/superFinal.mp4, complete with synced audio and subtitles.

rotify/
├── files/
│   ├── random.pdf            # Input PDF file
│   ├── minecraftParkour.mp4  # Input video file
│   ├── audio.mp3             # Generated audio
│   ├── subtitle.srt          # Generated subtitles
│   ├── video_and_audio.mp4   # Video with synced audio
│   ├── superFinal.mp4        # Final video with subtitles
│   └── mont/
│       └── Mont-HeavyDEMO.otf  # Custom font
├── main.py                   # Main script
├── apiKeys.py                # API key configuration
├── requirements.txt          # Python dependencies
└── README.md                 # Project documentation

• Add support for multiple font styles and sizes.
• Allow customization of subtitle positioning.
• Add error handling for missing or unsupported files.
• Implement a GUI for easier user interaction.

• AssemblyAI: For their transcription API.
• MoviePy: For seamless video editing capabilities.
• PyPDF2: For efficient PDF text extraction.
• gTTS: For converting text to speech.

Feel free to contribute by submitting issues or pull requests!