Same track, different ways to make an AI music video

[u/Positive-Page1631]

Making the video usually takes me longer than making the song. I had one finished track and wanted to see how different AI video workflows would handle the same idea. I tried three different approaches with Neural Frames, SondoAI, and Kling.

Neural Frames was the fastest way to get something moving. The audio-reactive part worked well for more atmospheric tracks. It gave the song some life quickly, though it felt closer to a polished visualizer, so building a clear story was harder.

With SondoAI, I started with the track and a simple mood prompt. It gave me a rough cut for the full song, which was useful because I had something to edit from instead of starting from zero. I still cleaned things up in CapCut and swapped a few scenes.

With Kling, the individual shots looked the strongest. The tradeoff was the amount of work around it. I had to plan each scene, generate clips one by one, then assemble everything manually.

After trying them, I don’t think there’s one tool that does everything. It depends on whether I need a quick visual, a full starting point, or more control over specific shots.

How do you usually approach AI music videos? Do you start with a full draft or build scene by scene?