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Скачать или смотреть Convert a Song Into 3D Geometry + Export a 3D Model (Step-by-Step)

  • Vladimir Chopine [GeekatPlay]
  • 2026-02-19
  • 212
Convert a Song Into 3D Geometry + Export a 3D Model (Step-by-Step)
song geometry mappermusic visualizationaudio visualization3d music visualization3d audio visualizersong in 3dsound to 3dmusic data visualizationgenerative artcreative codingtouchdesigneraudio analysisspectral analysispca visualizationmanifold visualizationtimeline spinenode graph visualizationdata-driven artmusic techwav to visualization4k renderopen source projectgithub projectgeekatplayi10xmulti model aiai tools for
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Описание к видео Convert a Song Into 3D Geometry + Export a 3D Model (Step-by-Step)

Try : https://i10x.ai/?fpr=vladimir24
Project (GitHub): https://github.com/GeekatplayStudio/s...

Ever wondered what your favorite song would look like in 3D space? In this video, I’m showing you Song Geometry Mapper — an app I built that analyzes music (songs, voices, instruments) and converts it into a properly weighted 3D model based on multiple audio features and algorithms. This isn’t random dots and lines. Every node and connection is calculated to represent frequency behavior, relationships, and structure inside the track.

I’ll walk you through the easiest way to install it using Docker, so your setup stays isolated and clean on Windows, Mac, or Linux. Then we’ll load an MP3/WAV, run the analysis, and explore different visualization modes like Manifold (PCA) and the Timeline Spine, where the song progression becomes visible over time.

You’ll also see how to:
Switch between Classic analysis and Voice/Instrument separation (drums, bass, more)
Use cinematic visual presets (glow, bloom, trails, pulse)

Control performance with node decimation
Customize connections (lines, waves, ribbons) and reactivity
Export outputs including 4K renders, captures, JSON, and even 3D object export
If you want the full technical details, the GitHub documentation explains how the model is built, what each setting means, and how the mapping algorithms work.
Links again:
Sponsor i10x (multi-model AI in one place): https://i10x.ai/?fpr=vladimir24
Song Geometry Mapper repo: https://github.com/GeekatplayStudio/s...

If you have questions, feature requests, or ideas for new visualization modes, drop them in the comments.

#SongGeometryMapper #MusicVisualization #AudioVisualization #3DVisualization #TouchDesigner #CreativeCoding #GenerativeArt #DataArt #MusicTech #Docker #OpenSource #GeekatPlay
⚠️ AFFILIATE DISCLOSURE: We may earn a commission from purchases made through the links below at no extra cost to you.
My recommendations:
Hitem3d: https://www.hitem3d.ai/?utm_source=af...
TripoAI: http://studio.tripo3d.ai?via=geekatplay
Meshy 3d AI: www.meshy.ai?via=geekatplay
i10X. :https://i10x.ai?fpr=vladimir24
Topaz AI Video and Photo processing: https://topazlabs.com/ref/1514/

My Patreon webpage -   / geekatplay  
Tutorials and packs - https://gumroad.com/geekatplay
Tutorials website - https://www.geekatplay.com
Photography - https://www.chopinephotography.com

00:00 Song Geometry Mapper: see music in 3D
00:28 What you’ll learn + GitHub link
01:21 Install with Docker (Win/Mac/Linux)
01:45 Open the app (localhost:5173)
01:55 Load MP3/WAV + sessions overview
02:23 Classic vs Voice Separation
02:54 Analyze the song and build the model
03:15 Manifold (PCA) vs Timeline Spine
03:38 Help tooltips explain every setting
06:25 Cinematic mode: hide labels, glow look
07:24 Camera presets + performance decimation
08:06 Effects: points, opacity, depth
08:35 Connections: waves/ribbons + reactivity
10:54 Post effects + 4K export options
11:16 Timeline view: song progression in time
12:04 Wrap-up + comments, suggestions

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