Is OpenMusic actually a helpful music AI assistant?
Published on August 11, 2026
I’ve mostly finished the soundtrack for a theatre project, a reality TV interpretation of Antony and Cleopatra, and I’ll release it soon. Part of that work involved confession-style backing tracks, the kind of music that plays under a character explaining what just happened and how they feel about it. I tested OpenMusic to see if it could generate something usable for that scene.
The prompt
I asked for a two minute backing track for a theatre show. It needed to emulate a dramatic, confession-style scene, bold enough to carry the moment but with space for the actor to speak over it. I gave it a genre mix too. Country, folk, rock, blues, classical, disco, funk. And a mood, “Emotional”.
Generation took three or four minutes for each track. I had asked for two minutes and got back tracks over three minutes long. Not a dealbreaker, but worth knowing if you’re planning around a specific time.
Listening to the results
OpenMusic generated two versions from the same prompt. Both matched the general description, dramatic and cinematic, but neither quite nailed “confession” specifically. That said, the first track leaned closer to the direction I actually wanted for the project.
The two tracks sounded similar but not identical, with slightly different keying. I preferred the second one, so I renamed it, tweaked the description, and moved on to downloading it.
Remix and stem tools
This is where OpenMusic got more interesting than the average prompt-and-generate tool. Alongside a basic download, it offers a handful of remix options: cover, extend, replace a section, mashup, and an editor. Extend works like the extension features you find in other generation tools. Replace a section and mashup let you swap in or combine different musical ideas, which feels like it could get messy fast, but the option is there.
The feature I liked most was the AI stem splitter. You can split any track into stems, and specifically the AI songs you’ve generated. I ran it on my track and got back separated parts, strings, and other sections I could pull individually. Being able to generate a full track and then lift just the piece you want, like a string section, is genuinely useful. It has an obvious AI artifact sound to it, but usable.
Downloads default to a fairly small file size. A full WAV export ran to around 90MB, and individual stems came in around 33MB each. AI generated music tends to be encoded at lower bit rates.
With the WAV stems downloaded, the plan is to bring them into Ableton Live and generate MIDI from there, so I can rework the material properly rather than just using it as-is.
Everything else in the toolbox
Beyond generation and stems, OpenMusicAI packs in a long list of extra tools. AI mastering, which most DAWs already handle. An AI MIDI editor, which might do something similar to an MCP server I tested with Ableton in another video. Audio-to-MIDI conversion, again something Ableton already offers. A BPM tapper, useful if you don’t have a DAW open. A chord progression generator, photo-to-music, an AI rap generator, a noise generator, and genre-specific generators like a “funk maker” and a K-pop punk generator.
Quality across these varies. Some are genuinely handy if you don’t already have the equivalent in your DAW. Others feel more like novelties. I used about 22 credits across this whole session, which isn’t much, so there’s room to keep experimenting without burning through an allowance.
Should you try it?
The generation quality is decent rather than exceptional, and it won’t nail a specific brief like “confession scene” on the first try. But the export options make it worth using anyway. Being able to pull MIDI and WAV stems out of a browser-based tool and take them into a proper DAW turns a rough AI generation into a real starting point rather than a finished product.
If you want to try it yourself, sign up here. And if you want to hear the actual soundtrack this experiment fed into, it’s on Bandcamp.
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