SoundBoost AI Review: Music Videos, Costs and Audio Tools
SoundBoost AI combines music-video generation with mastering, stem separation and other audio tools. For this review, we uploaded an original 96-second instrumental, provided a fictional character portrait, generated a complete 24-scene music video, and tested a targeted image correction. We also tried its mastering revisions and downloaded separated stems. The question is whether that workflow gives independent musicians enough control over the result, and what a finished video actually costs.
If you already have an edit and need individual shots, DIY AI Studio’s AI video generator is another route. SoundBoost’s appeal is its connected journey from a complete track to a story, storyboard, and assembled film.
Our SoundBoost verdict
SoundBoost earns a place on the shortlist for musicians who want to approve a story and its pictures before generating a full video. Our 96-second project reached a completed, playable film with 24 scenes for 665 credits, including one image correction. The shared palette and recurring character made the story readable, while the scene controls gave us a practical way to fix a visible mistake.
We would feature that workflow prominently, with clear limits. Prop continuity and song-section timing needed clearer direction, lip sync wasn’t tested, and the full-quality film and creator-pack downloads timed out in our remote browser. Playback reached the end, and an individual scene downloaded successfully, but we could not verify the complete master file or editor handoff.
The strongest part of our test was being able to inspect and correct the pictures before paying for motion. One frame had a piece of red fabric hanging from the lantern. A three-credit image edit removed it and retained the character’s scarf around her neck. That is a useful correction to make before an animated clip multiplies the cost of a mistake.
The limits were visible too. The lantern changed size between shots, and the storyboard’s quiet passage didn’t precisely match our source track breakdown. SoundBoost provides a workable production process, but a recognisable character and cuts on a beat don’t automatically mean perfect continuity or an accurate song-section interpretation.
What SoundBoost does beyond music videos
SoundBoost is the platform previously branded Diktatorial, with DIKTATORIAL Inc. named in its terms. Its main workflows cover mastering an existing mix, separating stems, cleaning recorded voice and making music videos. It also lists utilities for loudness checks, audio conversion, metadata and artist visuals. We tested the video, mastering-preview and standard stem-splitting workflows; the remaining tools were outside this session.
The music-video workflow starts with a recording you supply. It does not compose the song as part of the video-generation process. This distinction matters if you are comparing SoundBoost with tools that create music from a text prompt.
How we tested SoundBoost
We tested the signed-in web app on 16 October 2026 using existing Creator-plan credits. We created the music and character for the test, rather than borrowing from SoundBoost’s showcase. Our instrumental had distinct quiet and loud sections, allowing us to compare the generated scene timings with a known musical structure.
| Test component | What we used |
|---|---|
| Song | Lantern Run, an original procedural instrumental, 96 seconds, 120 BPM, 4/4 |
| Upload | Stereo 44.1 kHz, 16-bit WAV |
| Character | One fictional adult portrait: Mara, black bob, yellow raincoat, red scarf |
| Direction | A rainy street journey, a stairway, a rooftop, a lantern releasing amber lights and a sunrise ending |
| Video settings | Colour, 768p Cinematic; lip sync, Research the world and Auto QC off |
| Revision | One Fast image edit on scene two |
| Additional checks | Mastering preview and prompt revision; standard stem separation and MP3 export |
This is a practical test of one instrumental workflow. We didn’t test sung lip sync, a real performer’s likeness, several recurring characters, 1080p generation, or an entire album. SoundBoost isn’t included in our current standardised audio or video scoring datasets, so we haven’t assigned it an invented numerical benchmark score.
From a song and portrait to 24 planned scenes
The first screen clearly brought the inputs together: an audio upload, optional style references, a named main character, and a direction box. Our account allowed eight style references and up to five photos for its one main character. We used a single portrait and no style images, leaving the written direction to handle the city, light, and recurring lantern.
Our brief specified the story and what we wanted to keep stable. Mara should keep the same coat and scarf. Quiet passages should use restrained, intimate shots; louder sections should widen and move more energetically. We also requested no singing, captions, lettering or logos. This made the output easier to judge than a vague request for a cinematic video.
SoundBoost first generated 14 scenes covering 60 seconds, then another ten for the remaining 36 seconds. The storyboard gave each scene a title, time range, still and editable story. The sequence progressed clearly from street to stairs to roof, then to the lantern opening and the final sunrise. It did not simply repeat a single visual loop for the duration of the track.
The written treatment helped clarify the intended camera work. It described side tracking, an overhead stairway view, a chase behind the scarf and a held rooftop moment. Those descriptions remained plans until the motion stage; an attractive still alone cannot prove that a camera move or physical action will work.
Character continuity was stronger than prop continuity
Across the inspected storyboard frames, the yellow coat, red scarf and short dark hair made Mara easy to recognise. The teal shadows and amber light also carried through the journey. This gave the sequence a common visual identity without requiring a separate prompt for every shot.
The lantern was less stable. In the early close-up, it was a substantial object held beside her face. In the rooftop pause, it became much smaller relative to her hands and body. Later images used a hinged lid to support the lights’ release. Each picture could work alone, but the changing scale and construction became noticeable in sequence.
Our scene-two correction demonstrated both the value and the limits of editing. The original showed an unwanted red fabric extension beneath the lantern. We asked SoundBoost to remove that fabric while preserving Mara’s neck scarf, face, coat, lighting and framing. The Fast edit cost three credits and fixed the unwanted fabric. It also changed some lantern proportions and details, so even a local edit deserves another inspection.
The interface kept the result as Take 2. It also exposed separate controls for retaking an image, rewriting the scene and uploading an image. The distinction matters: rewriting changes the proposed action, while editing an image aims to change the picture. Fixing a wrong prop before animation is usually the more economical starting point.
Music timing: useful structure, imperfect section boundaries
Our source had an intro from 0:00 to 0:08, a verse to 0:24, a first chorus to 0:40, a breakdown to 0:56, a second chorus to 1:28 and an eight-second outro. We know those boundaries because we built the test track ourselves.
The storyboard used several three-second scenes during the climb, then a nine-second rooftop pause from 0:39 to 0:48. That is a sensible change of visual pace, but the pause started one second before the breakdown and ended eight seconds before it finished. A subsequent scene described the music returning at 0:48, while the full drums and melody actually returned at 0:56.
All displayed scene boundaries were compatible with the track’s half-second beat grid. That supports a narrower observation than claiming perfect musical understanding. Beat alignment, bar alignment and section recognition are different tests. The story can feel organised while still placing a reveal or a change of pace earlier than the song warrants.
The completed film: a connected story, with a verification limit
The film became available approximately 12 minutes after we confirmed motion generation. That is the time to our observation of the ready state, not a precise server render benchmark. The initial estimate had been three to seven minutes, followed by a render-slot wait. Storyboarding and our own inspection time came before this stage.
We let the completed player run to its 1:36 ending and inspected frames during the stairway, roof-door, raised-lantern, flock and sunrise passages. Those frames followed the planned setting progression and retained the coat, scarf and teal-to-amber palette. The ending closed the lantern and moved into warm sunrise light, giving the sequence a clearer destination than a collection of unrelated clips.
We also downloaded the individual Turning Flock take and inspected its frame sequence. The lights and bird-like silhouettes moved towards the horizon above their rooftop reflection. It was an animated shot, not a static storyboard frame. That take measured 1,344 x 768 at 24 fps and lasted about 5.17 seconds, although the film scheduled it for only three seconds.
The remaining qualifications matter. Our visual checks sampled the playing film; they were not a frame-by-frame quality audit or a synchronised audio listening test. The full-player Original option reported 1,920 x 1,080 decoded dimensions, but the generation setting was 768p. Display or delivery dimensions alone do not demonstrate native 1080p generation or additional detail.
Some of the attractive images also reinforced the continuity problem. The lantern filled much of the frame in the later close-up, then returned to a compact object at the end. The downloaded take included bird-like shapes in the glowing flock. If a brief requires one exact physical prop or abstract lights with no recognisable creatures, we need to resolve those details before accepting the final cut.
What our music video cost
The account began with 4,000 music-video credits. SoundBoost reserved 185 credits for the first storyboard segment, then released the unused amount when it finished. The actual charge was 73 credits. Extending the storyboard cost another 65, and our image correction cost three.
| Stage | Credits | Evidence |
|---|---|---|
| First 60 seconds of storyboard | 73 | Balance change after completion |
| Remaining 36 seconds of storyboard | 65 | Balance change after completion |
| One Fast image edit | 3 | Displayed price and balance change |
| 24 scene videos, 768p Cinematic | 524 | Confirmation quote, reconciled with the final balance |
| First final render | 0 | Confirmation quote, reconciled with the final balance |
| Total for this completed first film | 665 | 4,000 starting credits minus 3,335 remaining, with no reservation left |
The final spend was 665 credits for 96 seconds, including our one still-image edit. At the displayed Creator rate of $99 for 4,000 credits, that’s about $16.46 in subscription credit value, or $10.29 per generated minute. It was not a separate $16.46 payment, and we did not buy a subscription or top-up during the test.
This was the first completed film, not a fully polished edit after fixing every continuity issue. Further image changes, video retakes or a new render can increase the real cost of an acceptable release. Unused subscription capacity also changes what a video effectively costs your business.
The motion quote is more informative than multiplying the final runtime by an advertised per-second price. Our 96-second film was quoted at 524 motion credits, rather than the 384 implied by simply multiplying 96 by four. Generated takes can be longer than the portions retained in the edit. Budget for the actual scene quote and corrections, not just the song length.
The film stage showed a clear confirmation before generation. We did not see the same numerical confirmation before the initial storyboard or its extension began; their reservations appeared after we clicked through. That difference matters when you are testing several directions.
Live plan prices differed from the launch page
| Music-video plan | Monthly price shown in our account | Monthly credits | Main characters |
|---|---|---|---|
| Starter | $59 | 2,000 | 1 |
| Creator | $99 | 4,000 | 1 |
| Director | $199 | 8,500 | 2 |
| Professional | $399 | 18,000 | 3 |
These were the live monthly prices on our test date. SoundBoost’s public landing page displayed lower launch offers, while its plans wiki matched the account prices above. Check the price offered to your account before budgeting. An annual equivalent, a temporary promotion, and the monthly billed amount aren’t interchangeable.
Our quality selector offered 480p Fast at 7 credits per 5 generated seconds, 480p Cinematic at 14, 768p Fast at 10, 768p Cinematic at 20, and 1080p Cinematic at 40. The default was 768p Cinematic. We tested that setting; choosing 1080p doubled the displayed motion rate, but we didn’t prove that every other part of the result improved.
Free access, lip sync and the features we did not test
SoundBoost advertises a free 30-second storyboard preview, while our paid account offered 60 seconds. A storyboard preview is a set of planned pictures, not a free full music video. The paid account also exposed per-scene corrections and the full film workflow.
Lip sync was available as a launch promotion at Cinematic quality, with Fast excluded. We turned it off because our track had no singing. Consequently, this review makes no claim about phoneme accuracy, teeth, mouth movement or synchronisation during fast vocals. Those need a separate vocal test before SoundBoost can earn a recommendation specifically for performance videos.
Auto QC and retakes were labelled Director and above, with a displayed cost of 15 credits per scene. Research the world was labelled Professional and 100 credits. Neither was enabled. They should not count as benefits demonstrated by our output, nor should readers assume an entry plan includes automatic quality review.
Mastering: a useful revision interface, with a separate subscription
We uploaded the same track to the mastering tool and selected a roughly 30-second passage around the louder second chorus. SoundBoost produced a Default Revision and offered an A/B interface, an engineer selector, intensity control, a revision suite and custom EQ. We tested the engine at v4 at 70% intensity.
We then asked for gentle warmth, less harshness in the arpeggios, centred bass, preserved dynamics, a -1 dB true-peak setting and no added reverb. The new revision visibly selected Warm, Heavy de-essing and -1 true peak. This showed that a plain-language request could produce inspectable parameter changes rather than only a conversational reply.
There was a reason to inspect those controls carefully: the assistant said it added no reverb, but the reverb selector remained Balanced instead of explicitly Off. We did not establish what that meant in the rendered signal. A friendly explanation should not replace checking the settings and listening at matched loudness.
Finalising the master opened a separate audio subscription offer. Our account showed Unlimited at $16 monthly, or $48 billed annually as a promotion. We stopped at that offer and made no purchase. We verified preview and revision behaviour, but did not download a full master or run a controlled mastering-quality comparison. Music-video credits did not provide that audio export.
See more of our reporting in Google Top Stories, AI Overviews and AI Mode.
Stem splitting: the free MP3 export worked
The standard stem split completed on our instrumental and opened a browser mixer with Vocals, Bass, Drums, Other and Metronome lanes. The fifth lane is a generated metronome. It isn’t a fifth instrument recovered from the recording, and in this mode, guitar and piano aren’t separate channels.
The mixer detected 120 BPM, matching the source. Its broad Am, F, C, and G chord sequence followed our composition’s underlying progression, though that doesn’t fully test chord extensions or transcription accuracy. The interface also offered solo, mute, looping, tempo and key controls.
We downloaded a ZIP containing four stereo, 44.1 kHz MP3 files for vocals, bass, drums and other audio. Each covered approximately 96 seconds. The vocal file was almost silent, as expected from a track without vocals. This confirms a useful free export path; it does not establish how cleanly SoundBoost removes a singer from a dense commercial mix.
SoundBoost’s documentation separates free practice and standard splitting from paid HD WAV, mixed exports and enhanced separation options. Our test used standard MP3 export only. For the wider category, our AI audio tools comparison covers different jobs across music and audio production.
Exports, rights and keeping a copy of your work
The completed project exposed a full-quality download and a free creator-pack builder. We requested the pack once; the interface confirmed it was ready and displayed a link valid for 48 hours. Its selected contents included the film, a clean cut, VFX channel, storyboard images, generated shots, cast portraits, audio assets and editor timelines.
Both the full-film transfer and the pack transfer timed out in our remote test browser. A lower-quality playback download was cancelled. We therefore haven’t inspected the pack archive, imported its timelines into Premiere or Resolve, or verified the complete master file’s codec and audio alignment. This is a limitation of this test environment, not evidence that downloads fail for every customer.
Exports succeeded elsewhere: the individual scene MP4 and the four-file stem ZIP downloaded and opened for inspection. Full-film playback also reached the end. We would still verify a complete local film download before relying on SoundBoost for a release deadline.
SoundBoost’s film documentation currently describes landscape 16:9 output and says vertical export is not yet available. For Reels or TikTok, expect a separate reframing step. A landscape close-up and an overhead city view will not necessarily survive the same automatic crop.
The company’s terms say users retain their tracks and may monetise outputs. That does not clear rights in someone else’s song, artwork or likeness. We used original test music and a fictional portrait, so those permissions did not become part of the generation test.
The privacy policy also distinguishes between its audio processing and video-generation providers. Video directions, reference images, and relevant song information can be sent to third-party AI services; enabling lip sync sends short vocal excerpts to its video provider. Do not interpret claims about internally hosted audio processing as a promise that every input stays within SoundBoost’s own systems.
Keep local copies of finished work. The film guide describes projects remaining until deletion, but the general terms reserve the ability to remove stored files after a subscription lapses. Neither wording is a reason to treat an online account as your only archive.
Who should consider SoundBoost?
SoundBoost is worth considering if you have a finished track and want the software to propose a coherent sequence, then let you approve pictures before it spends credits on motion. Its storyboard and cheap local corrections are especially relevant when you have one recurring character and a clear visual motif.
It is a less certain fit when exact prop continuity, tightly directed physical actions, vertical delivery or verified vocal performance are essential. Those requirements deserve their own trial rather than being inferred from a cinematic showcase. A strict shot-by-shot production may still need a conventional editor and separate image-to-video tools.
Our best AI music video generators comparison distinguishes full-song workflows from tools for individual clips. The practical buying question is how much time and money it takes to reach an acceptable finished edit, including rejected shots. That is the standard we would use when deciding how prominently to feature SoundBoost.
We recommend trying SoundBoost for a storyboard-led narrative video, with a correction budget and an export check built into the process. Its scene planning, retained image takes, and inexpensive local correction earned it a spot in this test. Exact prop continuity, musical section interpretation, and the complete editor handoff remain reasons to inspect your own result carefully before committing to a release.
Start with your own song and inspect the storyboard before committing to motion. The official SoundBoost music-video page is the current entry point; use the price and settings shown in your account to make the final decision.
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