DW

Automating AI Music Video Publishing to Save Time and Effort

The Problem

Publishing AI-generated music videos on YouTube can easily consume hours per song. Manually combining audio with cover art, rendering the video, uploading to YouTube, formatting metadata, and scheduling releases turns into a full-day task when handling large volumes of content.

This workflow eliminates that overhead by automating the entire pipeline. What once took a day now happens in minutes, producing consistent, high-quality videos on an intelligent schedule.

How the Workflow Works

The process starts with audio tracks from Suno and separately sourced cover art uploaded to Google Drive. Their presence triggers the workflow which proceeds through several stages:

Input Stage

Audio and image files placed in Google Drive kick off the automation.

File Handling and Upsert

The workflow performs intelligent upsert operations on Drive to update files without creating duplicates.

Media Processing

A FastAPI service combines the audio and image using FFmpeg, validating that the result is a proper video asset ready for YouTube.

YouTube Scheduling and Metadata Preparation

The workflow reads scheduled posts from a Google Sheet and calculates the next available slot at the brand's preferred time—3:33 PM Hawaii Standard Time. Metadata like the title and tags are cleaned and validated to avoid API errors.

Publishing

Finally, the validated video is uploaded to YouTube with the prepared metadata and scheduled publish date, and the Google Sheet is updated.

Key Features

The Result

This workflow creates a reliable AI music video publishing pipeline. What used to be a full day of manual effort per video now takes minutes, letting creators focus on producing content while maintaining a consistent release schedule.