sync-captions-to-music

To create beat-synced captions for a music video, this Skill aligns word-level timestamps from lyrics with the audio rhythm. It applies chunking and placement logic, then burns the subtitles directly into the video output using ffmpeg.

You do not need to manually provide word-level timestamps to generate music video subtitles. While the Skill can process provided music metadata and transcription data, it uses Whisper as a fallback to automatically transcribe and timestamp your lyrics.

Yes, you can use ffmpeg to burn subtitles with custom fonts and placement into music video ads. This Skill leverages ffmpeg alongside python libraries to apply customizable lyric chunking, accent words, and specific screen placement.

The best way to align lyrics with rhythm for video subtitles is by matching word-level transcription timestamps to the music's beat. This Skill optimizes lyric chunks for readability and timing to ensure captions match the song's rhythm perfectly.

Yes, python supports automatic lyric chunking for timestamp alignment. This Skill uses python scripts to process your video and lyrics, applying configurable chunk sizes and placement logic to optimize subtitle readability before rendering.