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Harth

Freemium#1 of 23 in AI Architectural Rendering Software

Harth: A web-based rendering workspace for BIM teams with broad model imports and credit-based plans. Ranked #1 of 23 in AI Architectural Rendering Software by our editors (7.9/10); pricing: Free plan; best for BIM-based architectural visualization teams.

7.9/10Editor score
Harth7.9 Visit Harth

At a glance

  • Editor score
    7.9 / 10
  • Pricing
    Free plan
  • Best for
    BIM-based architectural visualization teams
  • Free plan
    Yes
  • Paid from
    $59/mo
  • Workflow mode
    Mixed
  • Facts checked
    20 Sep 2026
Harth screenshot
  • Where it wins

    • Imports Revit, Archicad, SketchUp, and IFC models
    • Combines AI rendering, editing, agents, terrain, and sun studies
    • Supports multiplayer 3D collaboration and PDF, image, and 3D exports
  • Where it doesn't

    • Paid plans start at $59 per month
    • Free plan includes 700 credits and community support
    • Web-only access may not suit teams seeking a desktop application

Our verdict on Harth

Harth is a browser-based AI workspace for architecture teams that need to turn building data into visual studies and rendered outputs. It supports imports from Revit, Archicad, SketchUp, and IFC, connecting AI architectural rendering and image editing with project models. The feature set also covers terrain and existing-building imports, 3D satellite terrain, sun studies, discipline-specific AI agents, multi-agent workflows, collaboration, shareable boards, and exports to PDF, images, and 3D formats. Its strongest fit is BIM-based architectural visualization rather than general-purpose image generation.

Pricing is organized around monthly AI credits. The Free plan costs $0 per month and includes 700 credits, 20+ renders, and community support. Plus costs $59 per month and provides 5,000 credits, 150+ renders, priority rendering, and email support. Pro costs $149 per month with 15,000 credits, 500+ renders, priority rendering, and priority support. One-time credit packs offer another purchasing route: Small costs $99 for 7,500 credits and 250+ renders, Medium costs $199 for 16,000 credits and 500+ renders, and Large costs $399 for 36,000 credits and 1,000+ renders. Credit packs never expire.

Harth’s main differentiator is the connection between AI tools and architectural context. Terrain, existing-building data, sun studies, discipline-specific agents, and multiplayer comments over 3D give teams more than a standalone rendering workflow. The Revit, Archicad, SketchUp, and IFC import options also support mixed-model environments. Teams should choose Harth when model-aware visualization, collaborative review, and flexible credit purchasing matter. Smaller projects can start with the Free plan, while higher-volume work is better aligned with Plus, Pro, or a credit pack. Teams that require a non-browser workflow should look elsewhere.

Your product? Our editors can test Harth in depth and publish a review, labelled as paid · from $149/mo →

Harth pricing

Plans Free planFreemium A usable free plan; paid tiers unlock the limits above. Prices checked 20 Sep 2026.
See plans on harth.build

All 6 Harth plans and prices →

Harth fact sheet

Free planYes
Paid from$59/mo
Workflow modeMixed
Supported inputsRevit, Archicad, SketchUp, IFC
Maximum output resolutionNot verified
Commercial use rightsNot verified
CAD/BIM importYes
Monthly credits5000 credits/mo
API accessNot verified
DeploymentCloud
PlatformsWeb
SupportEmail, Community
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations4 integrations: Revit, Archicad, SketchUp, IFC
PricingFree plan (source)
Websiteharth.build
Facts checked20 Sep 2026

Harth integrations

Harth lists 4 integrations on its own site.

  • Revit
  • Archicad
  • SketchUp
  • IFC

Alternatives to Harth

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Harth vs the competition

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Featured on iTechGuides

Featured on iTechGuides — Harth 7.9/10

Harth is listed in our AI Architectural Rendering Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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