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FloorPlanBot
AI Floor Plan Generator — Text & Photo to Layout
FloorPlanBot is a browser-based AI workspace that transforms natural language text descriptions into conceptual 2D floor plans, edits structural layouts, and exports blueprint schematics.
About the tool
FloorPlanBot is an AI-powered spatial design workspace designed to bridge the gap between abstract text descriptions and conceptual 2D floor plans. Built for real estate developers, interior designers, architectural students, product managers, and design agencies, the platform eliminates the technical barriers and time-intensive manual drafting required by traditional CAD software. The application solves the friction of early-stage spatial planning by interpreting natural language room briefs, legacy floor plan images, and room photographs to generate structured layout concepts. Users can interact with an intuitive browser canvas featuring blueprint styling themes, grid dimensions, and annotation tools to iterate on spatial designs before committing to formal architectural engineering. FloorPlanBot matters because it accelerates conceptual spatial exploration and allows stakeholders to visualize layout alternatives rapidly. By offering multi-format exports including PNG images, PDF presentation documents, and schematic DXF files, the platform streamlines the handoff from early ideation to downstream technical refinement.
Who It’s Best For
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Key Use Cases
Process Documentation
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API & Developers Readiness
FloorPlanBot provides direct API access and Model Context Protocol (MCP) server support. The API enables developers to integrate spatial generation and layout capabilities into external AI agent workflows and development environments.
Rapidly converts natural language text descriptions into visual 2D floor plan concepts | Interactive canvas editor supporting blueprint themes, scale grids, and custom annotations | Flexible export pipeline supporting high-resolution PNG, presentation PDF, and schematic DXF formats | Freemium onboarding model providing free sign-up credits and daily check-in allocations | Developer extensibility featuring direct API and Model Context Protocol (MCP) server support
Outputs are illustrative conceptual drafts that require formal architectural or engineering verification | Schematic DXF exports provide basic geometric linework rather than multi-layered parametric BIM models | Generative layout creation, image editing, and project saving require Google sign-in authentication | Usage-based credit architecture requires purchasing generation credits for intensive design iteration | Platform does not evaluate local building codes, structural load paths, or plumbing layouts
