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A tool to convert a PowerPoint (PPT or PPTX) to a video with voice that reads the notes for each slide.

Project description

ppt2video

A tool that converts a PowerPoint (PPT) to a video with voice narration (reading the notes from each slide)

This tool reads the note contents from each slide using Google TTS and converts the PPT to an MP4 video.

Installation

pip install ppt2video

Usage

  • Step 1: Place your PPT file (or .pptx) into a specific folder (e.g., data/ppt/your_ppt_name.pptx).

    • If not using Windows, you may save the slides as images (e.g., png) to the folder data/ppt/your_ppt_name/.
  • Step 2: Set up Google Cloud Authentication to access the note contents in your slides:

    • You need to set up authentication using your Google Cloud service account key. Follow these steps:
      • Go to the Google Cloud Console (https://console.cloud.google.com/).
      • Create a new project (or use an existing project).
      • Enable the Text-to-Speech API for that project.
      • Create a Service Account and download the JSON key file.
  • Step 3: Run the code

from ppt2video.tools import *

meta = Meta(
    ppt_file='your_ppt_slide.pptx',  # Name of your PPT file
    google_application_credentials='/config/google_cloud.json'  # Location and filename of your Google Cloud service account key
)

# Run the conversion
ppt_to_video(meta)

Additional settings

You may adjust additional settings as follows:

class Meta:
    # PPT settings
    ppt_file: str 
    ppt_path: str = 'data/ppt/'  # Directory for the PPT and image files
    image_prefix: str = 'slide'  # The prefix for image file names (used when saving slides as images)
    image_extension: str = 'png'  # The image file format 
    ppt_extension: str = '.pptx'  # The PowerPoint file extension
    convert_slides_upto_slide_no: int = 0   # Convert to video only slide number upto this
    save_slide_images: bool = True # Save slides automatically from PPT, although there are already saved slides (works only under windows, if you have PowerPoint software)

    # Google TTS settings
    voice_enabled: bool = True  # Enable or disable voice narration
    google_application_credentials: str = None  # Location of the Google API key (downloaded as JSON)
    voice_path: str = 'data/voice/'  # Directory to save the generated audio files
    max_size: int = 4500  # Maximum text size limit for a single Google TTS API request (default 5000)
    slide_break: float = 1.0  # Time delay (in seconds) between slides
    line_break: float = 0.5  # Time delay (in seconds) when there's a line break in the text (e.g., '\n')
    lang: str = 'E'  # Language setting: 'E' for English, 'K' for Korean 
    wave: bool = True  # Whether to use Wavenet voices (True or False)
    wave_E: str = 'D'
    wave_K: str = 'C'
    speaking_rate_EN: float = 1.1 # English 
    speaking_rate_KR: float = 1.2 # Korean

    # MoviePy video settings
    fps: int = 24  # Frames per second for the video
    fade_duration: float = 0.15 # Slide fade duration
    fade_after_slide: list = field(default_factory=list) # fade effect after given slide number: starting from 0
    target_slide_for_video: list = field(default_factory=list)
    video_file_path: list = field(default_factory=list)
    video_height_scale: list = field(default_factory=list)
    video_location: list = field(default_factory=list)
    video_interrupt: bool = False

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