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Canvas

Canvas is an AI-powered Interior Design tool — AI that turns 3D scans of rooms into CAD files. Best for: Logo Design & Graphic Design. Pricing: Freemium (GateOnAI Score: 53/100).

AI that turns 3D scans of rooms into CAD files.

FreemiumVerifiedartificial intelligenceLogo DesignGraphic Design3D ModelingUI DesignWorkflow AutomationInterior Design

Canvas converts raw 3D room scans into editable CAD models without manual tracing. Users upload point‑cloud files from LiDAR‑enabled devices; the engine identifies walls, floors, ceilings, and structural openings, then builds a vector floor plan. Automatic door and window detection adds precise openings, while optional furniture recognition tags major pieces for quick removal or relocation. Export options include DWG, DXF, and IFC, allowing seamless hand‑off to Revit, SketchUp, or ArchiCAD. Cloud processing handles large scans, returning files in minutes, and a built‑in measurement tool verifies dimensions against the original scan. The service targets interior designers, architects, and renovation contractors who need fast as‑built documentation. A free tier permits up to three scans per month, suitable for small projects or trial use; paid plans raise the limit, unlock higher‑resolution processing, and add batch export capabilities. Integration with popular design suites lets users import Canvas output directly into their existing workflows, reducing the time spent recreating spaces from photographs. Teams can share generated CAD files through a secure link, streamlining client reviews and coordination. Compared with manual modeling, Canvas cuts model creation time by an order of magnitude, though it relies on scan quality; noisy data may produce incomplete wall geometry. The AI currently supports rectangular room layouts best, and complex curved walls require manual correction after export. Pricing remains transparent, with no hidden usage fees, but advanced features such as custom material mapping are reserved for higher‑tier subscriptions. Overall, Canvas offers a pragmatic bridge between on‑site capture and digital design, delivering reliable base models for most conventional interior projects.

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