mnml.ai

mnml.ai

An AI rendering tool for architects and interior designers. Sketches, photos, or views from SketchUp, Revit, and Rhino can all be converted into renderings. New users get free credits upon registration.

AI Interior Design#Interior Design#Architectural Design#Spatial Planning

Updated: 2026-10-26

What is mnml.ai?

mnml.ai is an AI rendering workstation for architects and interior designers, which the official calls an AI studio for architectural design and visualization. Its core function is straightforward: convert sketches, photos, or views in SketchUp, Revit, and Rhino into renderings for clients, and then further edit the images and create animations all in one place. It does not require you to write prompts; instead, it turns intentions like "this is the facade" and "this is the master plan" into options.

Who is it for?

  • Architectural firms: They need multiple comparison versions during the proposal presentation stage, but the rendering companies have tight schedules and cannot keep up.
  • Interior designers: Show clients the spatial experience under different materials and lighting.
  • Landscape and planning teams: They need to quickly create atmosphere maps for site plans and bird's-eye views.
  • Architecture students: They need to refine their sketches to a near-finished state before submitting their drawings.
  • University teachers: Demonstrate the differences of the same mass in different styles in class.

Key features

6
1

Multi-source Image Generation

Hand-drawn sketches, on-site photos, and massing model views can all be used as inputs, covering types such as elevations, interiors, site plans, landscapes, facades, unit plans, and virtual soft furnishings.

2

Studio Workspace

Create a complete final draft from a single image, supporting block-by-block redrawing of local areas, style transfer, 8K upscaling, and walkthrough animations. The official version also allows supplementing descriptions with a prompt generator.

3

Flow Canvas

Render results and source images are placed side by side, with a maximum of four at a time, making comparison easy instead of choosing by guess; for satisfactory schemes, you can branch to continue refining, or invite clients to collaborate on the same canvas.

4

Modeling Software Plugins

Plugins are available for SketchUp 2026, Revit 2024 to 2027, Rhino 8 and Grasshopper. They can be installed for free, sharing the same account, quota and material library. In Grasshopper, you can also select multiple design options at once and render up to eight of them. The official statement says that re-solving will not consume the quota.

5

Result Write-Back to Model

The plugin can directly place the rendered images back into the model, and according to the official, it can be restored with just one undo, eliminating the need for export and import steps.

6

MCP Integration

With just one server address, you can connect mnml to any MCP-supported client and generate images within chats.

How to use mnml.ai

  • First set the perspective: Clearly define the camera position, focal length and subject before generating the image, which is more effective than repeatedly adjusting style prompts.
  • Run one base image through multiple styles: Test several materials and lighting effects on the same sketch, then present four versions side by side for the client to choose from.
  • Enlarge only for the final draft: Once the design is confirmed, use 8K enlargement for layout, and use lower specifications in the early stage to save credits.
  • Modify locally instead of redrawing from scratch: If you're not satisfied, select that area to redraw.
  • starting over with the entire image will lose the parts that are already correct.
  • Project confidentiality: Unpublished project drawings are the client's assets.
  • Confirm the platform's data terms and team authorization before uploading.
  • It’s easier to render in the plugin: If you’ve already modeled in SketchUp or Rhino, use the plugin to render the current view directly to avoid exporting the wrong version.

Traffic & popularity

Data month Sep 2026

mnml.ai receives about 757.9K visits per month and ranks #52,468 worldwide.

Monthly visits
757.9K
▼ 12.6% vs last month
▼ 15.6% vs 3 mo. ago
Global rank
#52,468
of all websites
Bounce rate
29.9%
leave after one page
Avg. duration
1:35
per visit
Pages / visit
3.22
per visit
Country rank
#11,731
in its top market

Monthly visits

12 months
1.0M750.0K500.0K250.0K0
Oct 2025Apr 2026Sep 2026

Traffic sources

  • Search51.5%
  • Direct30.5%
  • Social8.3%
  • Mail2.8%
  • Referrals2.7%
  • Other4.2%

Top countries

  • India15.6%
  • United States8.5%
  • Turkey5.9%
  • Malaysia5.9%
  • Mexico3.2%

Estimated from third-party traffic data.

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