From Rough Sketch to Complete Residential Layout
Maket’s Auto-Complete feature is an AI floor plan tool that transforms rough outlines and partially placed rooms into fully dimensioned residential layouts, keeping user-defined spaces fixed while generating the rest of the plan in minutes. Instead of forcing designers or homeowners to describe every room upfront, Auto-Complete accepts minimal input, such as an exterior shape, a few internal walls, or a single bedroom placed roughly where it should go. The system then fills in remaining rooms around those fixed elements, addressing a common weakness in all-or-nothing generative design tools that tend to reshuffle layouts on each pass. Once the floor plan generator finishes, users can step directly into 3D, walk through the space, and produce renderings from short text prompts and optional reference images. This integrated sketch to 3D rendering workflow keeps generation, refinement, and visualization on a single canvas.
Auto-Complete and the Push Toward Residential Design Automation
Auto-Complete is built for the early schematic phase, where quick iteration matters more than polished documentation. By respecting already placed rooms and drawing the rest of the layout around them, Maket supports a more natural back-and-forth between human decision-making and residential design automation. Users can anchor decisions they are sure about—a primary suite location, an open living area, or a stair core—and let the AI propose compatible adjacencies and circulation. The workspace then carries those decisions forward into 3D, where materials, finishes, and lighting can be explored through conversational prompts instead of manual modeling. Maket describes its v2 platform as an “AI floor plan studio” that assembles plan generation, iteration, and visualization on one canvas, reducing tool switching and repetitive redrawing. With a free entry tier and more advanced features on paid plans, the company aims to make early-stage residential design more accessible to people without CAD training.
Floor Plan Digitization: Uploading PDFs, JPGs, and PNGs
Maket’s floor plan upload tool tackles a different bottleneck: turning legacy drawings into editable digital layouts. Users can start a project, choose upload, and drop in a PDF, JPG, or PNG for automatic recognition. In most cases, the platform converts a plan in under a minute, tracing walls, doors, and windows while detecting rooms, furniture, and fixtures. The outcome is not a flat image but a live model where elements can be adjusted, rooms resized, and furniture rearranged through the same conversational workflow used for generated plans. After each import, the tool reports what it detected and flags low-confidence areas, such as unclear scale, so users know where cleanup is needed. This floor plan digitization path closes a long-standing gap for professionals who previously had to redraw existing layouts by hand, especially when working from listing documents, sketches, or older plan sets.
Streamlining Renovation and Legacy Workflows
Together, Auto-Complete and floor plan upload connect new and existing projects into a single AI floor plan toolset. Renovation work often starts with a paper plan or a scanned PDF, which can now be uploaded, converted, and edited as a working model. From there, designers can remove walls, resize rooms, and then call on Auto-Complete to generate new areas around preserved zones, avoiding a full redraw. According to Maket’s CEO Patrick Murphy, the platform is designed to handle “roughly 70 to 75 percent of schematic work,” with structural and code review left to licensed professionals. This mix of generation, floor plan digitization, and sketch to 3D rendering lowers the manual overhead for homeowners, builders, real estate professionals, and architects alike, cutting out intermediate tools and enabling more testing of layout options before committing to detailed construction documents.
