AI Music Generator

Scoring without music theory

Scoring a video used to offer two options: dig through a stock library and then verify the license range, or commission a composer at a cost and timeline short-form content can't absorb.

AI music generation adds a third: describe the style and mood you want and the model arranges something. Not right? Change the description and go again. The cost is one generation.

This page runs several music models with genuinely different strengths — some handle full song structure (intro, verse, chorus), some are better at loopable background beds, some are cheap enough to explore freely. Re-running one description across a couple of them is usually faster than rewriting the prompt on the wrong model.

Specific descriptions land closer

Music prompting resembles image prompting: the more specific, the higher the hit rate.

Write in this order — genre + mood + instruments + intended use. "Upbeat solo piano for a product demo background" is far more useful than "nice music." Tempo, presence of drums, vocals or not, roughly where it'll be used: each one pulls the result closer.

For vocals, the models that support it take lyrics directly and sing them to a melody. For instrumental beds, leave the lyrics empty or pick a model built for instrumental.

When to reach for a different tool

This page makes music with melody. A few jobs don't belong here:

• You want a spoken read, not singing — text-to-speech produces voiceover, not a song.
• You want ambience or effects — the sound-effect tool is the direct route for footsteps, rain, a door opening; it won't set them to a melody.
• You want to add sound to existing video — video-sfx reads your footage and generates matching audio.
• You need music and picture precisely aligned — do the timeline work on the canvas rather than exporting repeatedly from a single page.

A reasonable way to think about it

Music usually goes on last, but it's worth trying early — score changes how a cut feels, so hearing it sooner affects how you edit.

A practical approach: once you have a rough cut, generate two or three different styles from one-line descriptions, drop them on the canvas, and listen against the picture. Pick a direction, then refine. That beats agonizing over whether the prompt is worded precisely enough.