Hausey

Hausey takes a photo of a real room—kitchen, bedroom, bathroom, facade—and generates ten distinct design directions from it in under sixty seconds. The workflow is three steps: upload a JPG, PNG, or WebP; receive ten styled renders automatically; then compare side-by-side, refine details with plain-text instructions, share a voting link with clients, and export in HD or PDF. No designer software, no 3D modeling background required. The vendor positions this as a pre-sales and pre-commitment visualization tool, not a construction-document replacement.

The differentiating claim is breadth-per-session: ten complete aesthetic visions—Luxury Modern, Japandi, Parisian, Warm Minimal, and others—generated from one photo, shareable in a single client meeting. The vendor frames this against the traditional workflow of hiring a designer and waiting two to four weeks for one or two concept boards at significant cost per concept. For contractors running tablet-based in-home sales calls, and for designers who currently spend their first several client meetings narrowing direction rather than presenting options, this changes the meeting structure.

Hausey fits tightly into the pre-decision moment: before a homeowner commits, before a listing goes live, before a design-build firm enters schematic design. It covers living rooms, kitchens, bedrooms, bathrooms, dining rooms, offices, entry halls, and terraces per the vendor page. Where it breaks: the output is a styled image, not a spatial model. Teams who need exact material specs tied to real product SKUs, precise dimensional accuracy for permit drawings, or integration with CAD or BIM workflows will hit the ceiling immediately. There is no API, no self-hosting option, and no described path to plug Hausey’s output into a wider design or project management stack.

The platform is cloud-only with a free-forever plan that requires no credit card per the vendor page. Paid tiers unlock additional capacity; the vendor lists a starting price of $9/month. Real estate agent use cases include structural drift checks on generated images and state-specific disclosure language—features the vendor explicitly calls out as making the output ‘MLS-safer,’ though agents should verify compliance with their specific MLS rules independently.