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music-to-video

Generate beat-synced videos from music tracks and images using Python, HTML/CSS, and JavaScript.

Updated Aug 23, 2026
Search Tags:#video production#music video#audio analysis#beat synchronization#image synchronization
One-click install
npx skills add https://github.com/jpratt9/dotfiles --skill music-to-video-jpratt9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: music-to-video
Source: https://github.com/jpratt9/dotfiles/tree/main/.agents/skills/music-to-video
Command: npx skills add https://github.com/jpratt9/dotfiles --skill music-to-video-jpratt9

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires librosa, numpy, soundfile, ffmpeg, gsap, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of beat-synced videos from music tracks and images, eliminating the need for manual video editing and synchronization.

Core Features & Use Cases

  • Beat-Synced Video Creation: Automatically synchronize images and text to the beat of a music track.
  • Customization: Customize the video with different text styles, colors, and transitions.
  • Use Case: Imagine you have a music track and a set of images you want to turn into a music video. Use this Skill to automatically sync the images and text to the beat of the music track, creating a visually appealing music video.

Quick Start

Use the music-to-video skill to create a video from the track 'song.mp3' and images in the 'images' directory.

Frequently Asked Questions about music-to-video

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically sync images to a music track for a video?▼

To sync images to a music track, this Skill analyzes audio for tempo and rhythm using librosa, then matches image transitions to the detected beats. It renders the final composition using HTML, CSS, and JavaScript via GSAP.

Can I create a lyric video from an mp3 file and a folder of images?▼

Yes, you can generate a lyric or promotional video by providing an mp3 track and an image directory. The process extracts beat timings and synchronizes your text and images automatically, outputting a beat-synced video.

Does this beat synchronization approach require Python and ffmpeg?▼

Yes, Python is required for audio analysis using librosa and numpy, while ffmpeg handles media processing. HTML, CSS, and JavaScript are also used for the actual video composition and rendering.

What is the best way to automate music video production without manual editing?▼

Automating music video production is best handled by programmatically analyzing audio tracks for rhythm and applying GSAP transitions. This removes manual timeline editing by mapping image synchronization directly to the detected beat structure.

Can I customize text styles and transitions in the generated music video?▼

Yes, you can customize the generated music video with different text styles, colors, and transitions. The Skill uses HTML, CSS, and JavaScript rendering, allowing you to modify the visual output to fit your promotional content.

Are there limitations when using audio analysis for beat synchronization?▼

Beat synchronization relies on librosa accurately detecting tempo and rhythm from the provided audio track. Complex polyrhythms or tracks with inconsistent time signatures may result in less precise image synchronization.

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