SPECVISOR
Engine: Operational
Hardware recommendation engine

Optimize for your workflow.

A PC specification tool for engineers, editors, and creators. No benchmark theatre, no hype — just the hardware your software actually requires, in three clear tiers with plain-English explanations.

01Primary software

Get your recommendation

Pick your platform and the software you actually run — the engine reduces each app to its real bottleneck, not its marketing requirements.

Platform

Software

Music production

Photo & graphic design

Video editing

Emulator-heavy / mobile development

CAD / engineering

3D modeling & rendering

Office / productivity

Live streaming

Development / IDE

Game engine development

02Workflow parameters

Multitasking load

Select at least one app to continue.

03Coverage

What Specvisor covers

10 categories, spanning the software people most often ask "what PC do I need for this" about.

3D modeling & rendering

Modeling, sculpting, and rendering in Blender and similar tools — GPU/VRAM heavy.

Blender

CAD / engineering

Technical drafting and engineering design in AutoCAD and similar CAD software.

AutoCAD

Development / IDE

Code editors and IDEs — VS Code, PyCharm, Xcode, and similar day-to-day dev tools.

PyCharmVisual Studio CodeXcode

Emulator-heavy / mobile development

Mobile app development with Android Studio or Docker-based workflows and emulators.

Android StudioDocker Desktop

Game engine development

Building games in Unity, Unreal Engine, or Godot — editor + play-testing workloads.

UnityUnreal Engine

Live streaming

Live streaming and broadcast encoding with OBS Studio alongside your main workload.

OBS Studio

Music production

Recording and mixing in Ableton Live, FL Studio, and other DAWs.

Ableton LiveFL Studio

Office / productivity

Everyday office work — Excel, Word, browsers, and other light productivity apps.

ExcelGoogle Chrome

Photo & graphic design

Photo editing and graphic design in Photoshop, Illustrator, and similar tools.

Adobe Photoshop

Video editing

Cutting and color-grading in Premiere Pro, DaVinci Resolve, and similar NLEs.

Adobe Premiere ProDaVinci Resolve
04Modus operandi

How this works

Hard compatibility rules — VRAM floors, CUDA, OS support — are fully deterministic and evaluated in code. Tier selection is matched against a curated hardware catalog and cached, so every result can be traced back to the app that drove it.

  1. Step 1

    Every app has point requirements

    Each software category — 3D rendering, video editing, office work, and so on — has a point value on six components (CPU single-core, CPU multi-core, GPU, VRAM, RAM, storage), at three usage levels: light, medium, heavy.

  2. Step 2

    Requirements combine differently per component

    CPU, GPU, and VRAM take the peak (MAX) across everything you selected — running two apps doesn't reduce either one's real requirement. RAM uses a decay-weighted series, since apps genuinely share memory when run together. Storage is a straight sum, because installed size doesn't care about concurrency.

  3. Step 3

    Multitasking adjusts the total

    Running things simultaneously scales CPU up — except VRAM, which is a hard floor: a scene either fits or it doesn't, so there's no partial credit there.

  4. Step 4

    Hard rules are deterministic; tier selection is AI-matched

    VRAM floors, CUDA requirements, and OS support are boolean checks — always evaluated in code, never left to AI judgment. Once those pass, tier selection is matched against a curated hardware catalog and cached, so identical requests don't re-run it.

Specvisor is a suggestion tool, not an official hardware authority — treat the result as a well-reasoned starting point, not a guarantee.

Frequently asked

In two layers. Hard compatibility rules — VRAM floors, CUDA requirements, dedicated-GPU needs, OS support — are fully deterministic boolean checks evaluated in code, never left to AI judgment. Once those pass, tier selection is matched against a curated hardware catalog by a live AI call, cached so identical requests are served instantly on repeat. See "How this works" above for the full breakdown.