Creating 2D and 3D floor plans with AI

What

Getfloorplan is an AI-based service for turning uploaded property layouts into marketing visuals, including 2D floor plans, 3D floor plans, virtual tours, and renderings. It appears to serve real estate professionals, property marketers, developers, and personal users who need faster visual asset creation from a floor plan file.

The core workflow is simple: select a property type, upload a JPG, PNG, or PDF floor plan, choose a package and style options, and receive AI-generated outputs within 24 hours, with optional human checking by the provider’s quality assurance team. Based on the page content, the product is positioned as a fast, lower-cost visualization service for property presentation rather than a full architectural design platform.

Features

• AI-generated 2D and 3D floor plans: Converts a single apartment or house layout into visual floor plan assets that can make listings easier to understand.
• 360° virtual tour creation: Higher-tier packages include virtual tour outputs that help present a property in a more immersive format.
• Rendering options: Render-focused plans add higher-quality visualizations for more polished property marketing materials.
• Style customization: Users can request interior styling based on references, and the service also mentions outside-area treatment and window-view options.
• Human QA review: The company states that visuals can be checked by a quality assurance team after AI rendering to reduce mistakes.
• Package-based output sets: Different bundles combine 2D, 3D, virtual tours, branding, and renderings, which helps match deliverables to different marketing needs.

Helpful Tips

• Check file readiness before upload: The service says files should be JPG, PNG, or PDF and contain one apartment or one house floor, so input preparation will affect output quality.
• Treat it as a marketing visualization tool: The page supports listing visuals and presentations, but it does not present the product as a technical CAD, BIM, or architectural documentation system.
• Clarify customization needs early: If you need edits to furniture, wall color, or interior design, the site indicates these are handled after rendering through customer service rather than as a fully self-serve workflow.
• Plan for one style per upload: The FAQ states one selected style applies to all uploaded files, and a second design requires another upload.
• Validate turnaround expectations operationally: The site promises delivery in 24 hours, but teams with large listing volumes should still test consistency and revision handling in real workflows.

OpenClaw Skills

Within the OpenClaw ecosystem, Getfloorplan could likely support agent workflows for real estate listing production, property marketing ops, and visual asset coordination. A likely use case would be an OpenClaw skill that collects listing details, checks whether a floor plan file meets format rules, routes the job to Getfloorplan, and then organizes returned 2D, 3D, render, and virtual-tour assets for publishing. The source page does not confirm a native integration or API, so this should be treated as an inferred workflow concept rather than a documented capability.

OpenClaw agents could also sit around the service to improve operational adoption. Examples include a brokerage listing-prep agent that flags missing floor plans, a developer marketing agent that standardizes visual packages by project type, or a QA agent that compares generated visuals against uploaded plans and internal brand requirements. In practice, this kind of combination could make real estate teams more systematic about converting raw property data into reusable marketing assets, especially where speed and repeatability matter more than bespoke architectural visualization.