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A Python library for syncing images and videos with music beats

Project description

beatsynchr

Python library for syncing images and videos with music beats

🎵 Features

  • Beat-based slideshow generation
  • Supports both images and video files
  • Handles .jpg, .jpeg, .png, .heic, .mp4, .mov, .avi, .webm, .mkv
  • Automatically matches clip duration to beat intervals

Installation

pip install beatsynchr

Usage

from beatsynchr import generate_slideshow, generate_slideshow_video

# Create slideshow from images
generate_slideshow(
    audio_path="soundtrack.mp3",
    image_folder="./images",
    output_video="slideshow.mp4",
    sort_by="name"  # or created_asc, created_desc, modified_asc, modified_desc
)

# Create slideshow from images + videos
generate_slideshow_video(
    audio_path="soundtrack.mp3",
    media_folder="./media",
    output_video="media_slideshow.mp4",
    sort_by="name"
)

Warning

For handling videos, you must have ffmpeg installed and accessible in your system PATH.


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