Full-stack coverage for AI music, AI lyrics, AI composition, audio to score, vocal separation / accompaniment extract, production, rights and IP customization
Online AI lyrics: major languages and genres — original lyrics aligned to mood, scene and style for albums, OST, singles and short-video scores.
Online AI composition: Aurols Music framework — native full songs up to 10 minutes in one pass from lyrics with matched harmony, rhythm and instrumentation at a high-completeness finished-output standard.
CPU mode from 32GB RAM; GPU mode for higher throughput — dynamic scheduling for edge and high-concurrency production.
Demucs-class engine — seven stems with minimal bleed for vocal separation, accompaniment extract, remix and professional workflows at scale.
Melody, rhythm, harmony, instruments, mood, hit patterns and rights — reports for optimization and pre-release risk checks.
Private models per artist or IP — original works in a matching signature sound; licensed training data required, not a substitute for original-recording rights.
Mature enterprise cluster — SaaS, private offline and full custom; API, RBAC and team collaboration for every scale and security tier. Private deploy runs fully on intranet — assets, models and outputs never leave to the cloud; GDPR/CCPA-ready, blocking leaks for top-tier star and studio confidentiality.
Parallel jobs for lyrics, arrangement, stems and analytics — albums, OST and catalog scoring at industrial scale. Queue and schedule work with concurrent team throughput, delivering style-consistent outputs and cutting production cycles for music at factory volume.
Proprietary high-precision transcription AI with >98% lyric-timeline and note-timing accuracy; auto phrase- and character-level timelines for playable, sing-along pro scores. Jianpu, staff, multi-instrument adaptations and band parts share one high-precision aligner; MusicXML exports for Logic, Cubase, Sibelius, MuseScore and more — PDF / JPG / MusicXML in one pass.
Six core technical strengths for commercial AI music
Stable commercial full songs on pure CPU — 32GB commodity RAM, no expensive GPU clusters, lower hardware and ops cost, steadier long tracks with fewer stalls or dropouts. SaaS / private / custom deploy with training, generation and rights delivery by contract; works can be cross-checked and confirmed in writing — not a “zero-risk” promise.
Music fingerprint locking — private models build lasting differentiated IP assets for stars and franchises.
One-pass 10-minute tracks — zero stitching for premium OST and live BGM scenarios.
Lyrics through style-custom iteration in one platform — no third-party toolchain required.
CPU mode for low-cost rollout, GPU mode for higher throughput — dual engines switch by workload across low- and high-spec gear. One stack serves studio single-box commercial use and cluster peak production, with better utilization and lower TCO — no need to overbuild expensive hardware for spikes alone.
Proprietary high-precision transcription AI closes the loop from “heard timing → phrase/character timelines → playable pro scores,” with >98% lyric-timeline and note-timing accuracy. Jianpu, staff, multi-instrument adaptations and band parts share one high-precision aligner; engineering-grade delivery drops straight into DAWs and notation tools — turning transcription from “readable” into “performable, singable, commercial.” Solves common industry failures: lyric drift, torn breaks, misaligned parts, and scores that cannot land for karaoke or performance.
Stars, film-TV, labels, studios, education and global institutions
Private + custom — exclusive models, demos and albums; digitized style assets for long-term IP value.
Private or SaaS — unified series sound; themes and BGM in minutes with lasting auditory IP.
Private factory — volume production, talent incubation and automated rights at group scale.
SaaS — full chain without heavy hardware; originals and short-video scores fast.
Multilingual, compliant offline options for cross-border entertainment markets.
SaaS first, smooth path to private. One-click teaching jianpu, études and grade/art-exam backing tracks; staff and band parts ready for class and rehearsal. Free score library plus pro transcription in one place — batch delivery cuts teaching-prep cost across piano shops, art-exam and kids music education.
Tiered plans from celebrity custom to API subscription
For artists, musicians and creator teams
Standard private offline + deep custom
Rights-clean corpus + private style training + deploy + contracted styled-output quota + annual tuning + contracted ops
Demos, fan singles, OST, ads, short-video promos
Studios, variety teams, show producers
Private-first; SaaS for smaller projects
IP style map + private model training + deploy + batch scoring + compliance pack
Series OST, themes, show BGM, franchise scores
Major and mid-size labels
Private offline with custom scope
Intranet deploy + multi-artist base + API + annual upgrades
AI music factory — volume, incubation, rights automation
Studios, arrangers, creators
SaaS-first with basic fine-tuning
Full API + basic style tuning
Low barrier commercial access — flexible billing
Capability-shape comparison — not a knock on other products
| Dimension | Typical cloud AI music tools (shape) | Aurols Music AI platform |
|---|---|---|
| Hardware | Often GPU / cloud compute | ✅ Pure CPU from 32GB — commercial-ready without GPU clusters |
| Deployment | Mostly cloud subscription | ✅ SaaS, private offline & custom |
| Long-form stability | Native length often a few minutes; longer tracks may need continuation | ✅ Native ~10-minute tracks without continuation stitching |
| Style customization | Mostly generic style templates | ✅ Private model training with contract-based style acceptance |
| Full chain | Often composition-focused | ✅ Lyrics → compose → arrange → score → stems → analytics → rights |
| Architecture | Enterprise integration varies by product | ✅ Enterprise cluster architecture — API & high concurrency |
| Pro transcription | Transcription varies; often melody or phrase-level reference | ✅ Proprietary engine, lyric–note alignment accuracy over 98%; one-click jianpu / staff / full band parts / MusicXML |
| Metric | Generic transcription tools | Aurols proprietary engine | Notes |
|---|---|---|---|
| Lyric–note alignment accuracy | Mostly phrase-level / melody-only; no stable char-level alignment metric | Over 98% (measured on our own test set) | Precise lyric–note alignment; multiple chars may share one note window when valid |
| High-match lyric lock & timing integrity | Layout often moves lyrics — sing-along alignment breaks | ~99% high-match lyric lock retention; singing rhythm unchanged — print-only local tweaks | After high-match lock, singing rhythm is not rewritten by layout |
| Lyric–note alignment offset | No shared alignment-offset KPI; phrase-level drift common | ~30–150ms — sing-along usable | Offset of lyrics vs singing start — lower is tighter sync |
| Multi-score timing homology | Melody-only only; multi-format unsupported or inconsistent | Homologous alignment → one-click export; unified timeline into DAW / notation apps | Same timeline across jianpu / staff / parts / MusicXML |
| Complex C-pop delivery | Pile-ups, misalignment, torn instrumental breaks | Covers C-pop rap, pickup, long melisma & long breaks; test finals typically 97%+ | Rap, pickup, long melisma, long breaks |
Metric basis: measured on our own test tracks — strong tracks over 98% accuracy. Competitor column is capability-shape comparison, not same-set ms A/B.
Triple assurance for enterprise buyers
Seven-step enterprise rollout
Long-term style archive — batch same-signature output and additional monetization paths.
Fixed auditory identity — private library and long-tail derivative music.
Hit-aligned tags fast — lower trial cost and shorter incubation.
Experience full-chain AI music creation
🔥 Limited anchor partner program — free demo & custom plan 🔥
Enterprise private & API
More than a tool — digital infrastructure for the entertainment music ecosystem
We address compute, duration, style and compliance pain points across traditional music and generic AI — with a deployable path for commercial entertainment.
Four blockers holding back commercial music AI adoption
Most AI music caps native output at ~5 minutes; long OST, live BGM and full-set scores need stitching — risking breaks in melody, rhythm, timbre and quality.
Heavy cloud GPU dependency drives cost; even short tracks can drift, clip or degrade — hard to rely on for production.
Homogenized output; stars and studios lack capacity; film-TV scoring cycles are long and custom fees often reach six figures.
Legacy cloud tools risk unreleased work leaks, infringement exposure and data trails — a blocker for enterprise buyers.
We support SaaS cloud, private offline and custom deployment — matching global scenarios, security tiers and budgets. Our music model framework breaks the 5-minute industry cap with native 10-minute full tracks in one pass — no manual continuation or stitching; coherent groove, unified timbre and intact detail end-to-end.
Dual CPU/GPU adaptive compute, full-chain creation and signature style customization: 32GB CPU RAM delivers stable 4-minute commercial tracks and compresses a 7-day workflow to under 10 minutes.
From lyrics to IP style customization — no third-party patchwork
Full pipeline control with local data storage and compliance-by-design.Cut cost at scale, ship quality work in volume, and serve short and long commercial formats — building reusable digital music assets for artists and film-TV IP while reducing homogenization and stitched long-track artifacts.
Aurols Music AI powers global entertainment digitization — flexible deployment, lasting IP assets, rebuilding the commercial AI music ecosystem.
Break compute limits · Custom style · One-click high-precision scores · Compliance · Flexible deploy · Lasting IP assets
MediCut is the Aurols AI music creation platform from Shanghai Qiner Technology. The official site is www.aurols.com. It covers AI music, AI lyrics, AI composition, professional transcription, analysis, stems and rights workflows—available as pure-CPU commercial deploy, cloud SaaS, or private deployment. Start creating at /ai-music/aurols.
Yes. Open /ai-music/aurols for the full AI music chain: write or polish lyrics with AI lyrics, then generate a full song with AI composition (inspiration, standard, or custom lyrics). Continue with vocal separation, transcription, or full-dimension analysis. No music theory required—good for short-video beds, demos, and album drafts.
Many tools stop at generating a track. MediCut keeps AI music, AI lyrics, AI composition, arrange, audio to score, stems, analysis and rights on one platform. Finished songs can continue to audio to score (jianpu / staff / band parts), vocal separation and accompaniment extract, or full-dimension analysis, plus celebrity/IP style custom and longer native tracks for team-scale use.
Yes. MediCut supports pure-CPU commercial deploy from about 32GB RAM—no GPU cluster required—and can also schedule CPU/GPU by load. Fits studio single-box use and intranet deploy; capacity and concurrency follow the commercial plan. Contact /contact or /about/partnership.
Yes. The proprietary engine is scored on lyric–note alignment: over 98% on our own test set. After high-match lyrics are locked, singing rhythm is not rewritten by layout—suitable for sing-along and performance. See /music/to-score.
Jianpu, staff, full band parts, piano/guitar/guzheng arrangements, plus PDF, JPG and MusicXML on a shared timeline for Logic, Cubase, Sibelius and MuseScore. Details at /music/to-score.
Yes. Cloud SaaS plus private deployment and custom integration, including access control and APIs where applicable. Scope, capacity and terms via /contact or /about/partnership.
