Describe the mood, energy and rough length of your edit and generate an instrumental track built for that exact cut, instead of scrolling a stock library for something close enough. Picasso IA hosts 488 models, so scoring, voiceover and captions all happen in one place.
The cut is locked, the pacing works, and the only thing missing is music that fits it instead of fighting it. A stock library search for that music can eat an hour and still end in a compromise, a track that is close in mood but wrong in length, or the right length but the wrong energy at the moment the cut lands hardest. AI scoring starts from the edit itself: describe it, generate a few candidates, and pick the one built for that pacing.
A stock library is organized by tag, not by your timeline. You search "upbeat corporate" and get four hundred results that are all upbeat and all corporate, and none of them build to the beat where your logo lands at second eighteen. Picking the closest match means editing your cut to fit the music, trimming a beat you liked, or looping an outro that was never meant to repeat.
Generated scoring reverses that relationship. Instead of searching for music that already exists and hoping it matches your edit, you describe your edit and get music built to match it, roughly the right length from the first generation, in the energy and instrumentation you asked for. The track adapts to the cut, not the other way around.
This matters most on projects where the pacing is specific: a product reveal that needs a swell at one exact second, a vlog that needs to stay conversational under narration rather than compete with it, a trailer-style montage that needs to build across three distinct beats. Stock tags cannot describe that level of specificity. A prompt can.
On Picasso IA, scoring happens in the Toolkit with any of the music models in the catalog. You describe the track in a text prompt, generate, and listen back before laying anything under the edit. New accounts start with free credits, so the first few passes cost nothing but a few minutes.
You do not need music theory to get a usable score, you need the vocabulary you already use when you talk about a cut. Four things carry almost all of the useful information: energy level, instrumentation, whether the track should build or stay steady, and roughly how long it needs to run.
Energy level is the fastest lever. "Calm and minimal" and "driving and energetic" point the model toward completely different tempo and density ranges before it ever hears an instrument name. Pair that with instrumentation, piano and strings for something intimate, synths and a steady beat for something modern, acoustic guitar for something warm, and the model has enough to commit to a direction instead of guessing.
Build versus steady is the detail editors forget to specify and then wonder why the track feels flat under their cut. A highlight reel that intensifies toward the end needs a prompt that says so explicitly, something that builds in intensity toward the final third. A vlog running under continuous narration needs the opposite, a steady bed that does not pull attention away from the voice. Naming the shape, not just the mood, is what separates a track that supports the edit from one that just plays alongside it.
Pro tip: state the target length in your prompt, in seconds or as roughly how many minutes the cut runs. A track generated with a length in mind needs far less trimming and looping later than one generated with no length target at all.
Short edits and long edits need different music strategies, and knowing which one you need before you generate saves a rework later. A social clip under thirty seconds usually wants one continuous cue, generated at roughly that length, so the whole thing feels like a single musical idea rather than a loop that visibly restarts.
Longer edits, a five-minute vlog or a ten-minute tutorial, are a different problem. Generating one continuous track that long is rarely practical, and it is usually the wrong tool anyway, because a track that long tends to drift through several moods your edit does not need. The better approach is a shorter cue, thirty to sixty seconds, designed to loop cleanly, repeated under the parts of the edit where it plays quietly under dialogue.
A cue loops cleanly when its start and its end share a similar energy and instrumentation, so the seam is not audible when it repeats. If a generated track ends on a big swell but opens quietly, looping it creates an obvious jump. Ask for steady energy throughout when you know a track needs to loop, and save the build-and-release shape for cues that only need to play once.
| Video type | Energy and pacing | Instrumentation that tends to fit |
|---|---|---|
| Product demo | Steady, upbeat, unobtrusive under a voiceover | Light synths, clean percussion, no vocals |
| Vlog or lifestyle | Calm to moderate, conversational, never competing with speech | Acoustic guitar, soft piano, warm pads |
| Corporate or explainer | Steady, confident, minimal dynamic range | Piano, strings, restrained percussion |
| Dramatic trailer-style cut | Builds across two or three distinct beats to a peak | Strings, brass, cinematic percussion |
| Short-form social clip | High energy from the first second, no slow intro | Synths, punchy beat, short loopable phrase |
| Tutorial or how-to | Very quiet, steady, almost background-level | Sparse piano, soft ambient pads |
Treat the table as a starting point rather than a rule. A product demo for a playful app might want the trailer row's build instead of the steady row, and the honest test is always whether the track disappears into the edit or pulls attention away from it at the wrong moment.
Generated scoring is genuinely useful for the problem it solves, music that fits a cut's mood, pacing and rough length without a stock library search. It is worth being direct about where that stops.
The whole process runs faster than a stock library search once you know what to describe, usually under ten minutes including the listen-back. Credits are only spent on generation, and the pricing page shows what a run costs before you commit to anything.
Yes, within the vocabulary you give it. A prompt describing energy level, instrumentation and whether the track should build or stay steady gives the model enough direction to generate something in the right family on the first attempt. Vague prompts get vague results, so the more specific the description, the closer the first generation lands to usable.
That depends on the model in the catalog, and most instrumental models are built for cues in the range of thirty seconds to a few minutes rather than a full album-length track. For edits longer than that, generate a shorter cue designed to loop cleanly instead of asking for one continuous track the length of the whole video.
Roughly, not frame by frame. You can prompt for a build toward the end of a track, and a generated cue will generally deliver rising energy across its runtime, but hitting one exact frame the way a composer working to picture would is not what this replaces. Nudge the track a few frames in your editor once it is under the cut, and treat the generation as getting you most of the way there.
Check the licensing terms on the platform before putting a track under a monetized video or a client project, the same way you would check a stock library's license before using a track from it. Terms vary by platform and can change, so this is worth confirming directly rather than assuming.
Yes, and most background scoring prompts should ask for that explicitly, an instrumental track with no vocals or lyrics. If you want a sung track with words instead, that is a related but different workflow, better handled by describing lyrics directly rather than a scene.
Regenerate rather than trying to force it to fit. Because generation is fast, it is usually quicker to run three or four fresh variations with a clearer prompt, more specific about energy and instrumentation, than to spend time editing a track that was never close to what the scene needed.
Yes, if you want that consistency. Reuse the same generated track, or the same detailed prompt, across a series to give it a recognizable sonic identity, the same way many channels reuse one theme. Trim it to the length each individual video needs rather than regenerating from scratch every time.
No, and this is one of the most common mistakes in a first pass. Background music that sits quietly under dialogue and picture almost always reads as more polished than a track competing for attention, because the goal of a score is usually to support the edit, not to be noticed on its own. When in doubt, generate the calmer version and turn it down further in the mix.
New accounts receive free credits, enough to generate several candidate tracks and judge whether the workflow fits how you edit. After that, generation costs credits and plans are listed on the pricing page. The same credits work across the music models and every other model in the catalog, so there is no separate scoring tier.
For a video that needs music tightly synchronized to specific visual beats across a long runtime, a composer working to picture is still the better tool. For the far more common case, an edit that needs a mood-appropriate instrumental bed sized roughly to its length, generated scoring solves the problem faster and without a stock license to track down.
Your cut is already timed, and the first few candidate tracks cost nothing but a listen. Open the Toolkit and describe the scene you edited instead of searching for music that almost fits it.
