AI Music Generation

The old way to score a short video was a stock library, and the library was the problem. You pick a track written for something else, at a length written for something else, then fade it out somewhere near the end. Later a rights-management bot decides your upload contains a match and mutes it or claims the revenue, and the appeal takes a week you did not budget for.

Generated music removes the match. There is nothing to match against, because the track did not exist until your video asked for it. Orange composes an original track per video and takes the runtime from the assembled cut rather than from a dropdown, so a 34-second video gets 34 seconds of music with an actual ending.

Prompting for music works differently from prompting for pictures. Describe function rather than genre. "Low and steady, stays under a voice" produces a more useful bed than "epic cinematic trailer." Instrumental is almost always right under narration, because the moment a track has vocals it competes with the voiceover for exactly the same attention.

Mix level matters more than track quality. Music sitting too high under narration is the most common reason a competent short-form video feels amateur, and no amount of model improvement fixes a bad gain stage. The bed should be audible when the narrator pauses and nearly gone when they are not.

Where generated music is still weaker than a good library: anything needing a recognizable structure, a hook of its own, or a genre with strict conventions a listener would notice you breaking. For a bed under narration, which is what short-form actually needs, it is already the better option.