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LUA Music Studio

Free YouTube chord finder, sheet music & vocal remover

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This is 1 of 136 launches in music learning and production tools — see how it stacks up on momentum and crowding →

311 other launches read as similar to this one →

Details

External ID
1275491
Source
PH
Company
—
Product
LUA Music Studio
Website domain
producthunt.com
Launched
Oct. 10, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.33
Tags
Music, Artificial Intelligence, Audio

Description

Turn YouTube links or audio files into guitar chords, key and BPM analysis, and easy-to-read sheet music. Separate vocals from backing tracks, loop tricky sections, and adjust playback speed for practice. LUA Music Studio brings essential music tools together in one Windows app. 100% free, with no ads, credits, subscriptions, or usage limits. Make more music, without paying more.

Enrichment

Niche
music learning and production tools
Vertical
Media & entertainment
Function
Workflow automation
Audience
Prosumer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
chord finder and vocal separator for musicians
Manually corrected
False

Could you build this?

Partial While wrapping audio extraction and UI is simple, packaging fast local music transcription, chord detection, and vocal separation (stem splitting) into a desktop app requires integrating and optimizing complex ML models like Demucs.

What it would actually take: The app likely pairs an Electron or Tauri desktop frontend with local ML runtimes (ONNX Runtime or PyTorch C++) executing models like Demucs/Spleeter for stem separation and specialized neural networks or Librosa/Madmom for chord/key/BPM analysis. The hard part is bundling heavy deep learning models and FFmpeg binaries efficiently across desktop environments to run inference without excessive latency or memory usage. It requires audio signal processing and ML model quantization/inference optimization expertise.

Competitors

Other products that read as similar to this one — 311 launches clear the similarity bar, closest 8 shown.

Attention rank: #140 of 312 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 339 days after the earliest competitor.

Other launches for this product