{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_opalai","slug":"opalai","name":"OpalAi","type":"product","url":"https://www.opal-ai.com","page_url":"https://unfragile.ai/opalai","categories":["image-generation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_opalai__cap_0","uri":"capability://image.visual.text.to.floor.plan.generation.with.spatial.constraint.inference","name":"text-to-floor-plan generation with spatial constraint inference","description":"Converts natural language descriptions of residential or commercial spaces into dimensionally-accurate 2D floor plans by parsing spatial relationships, room counts, and layout preferences through a language understanding pipeline that maps semantic descriptions to architectural constraints and grid-based layout generation. The system infers room dimensions, adjacency requirements, and circulation patterns from text input without requiring explicit measurements or CAD expertise.","intents":["Generate a floor plan from a text description like 'open-concept 3-bedroom apartment with kitchen overlooking living room' without using CAD software","Rapidly iterate on floor plan layouts by describing variations in natural language and receiving updated plans within seconds","Create floor plans for property listings when original architectural drawings are unavailable or outdated"],"best_for":["Real estate agents and brokers who need quick floor plan visualizations for listings without architectural training","Property developers prototyping multiple layout options during pre-design phases","Interior designers and staging professionals who need base layouts to work from"],"limitations":["Spatial accuracy limited to typical residential/commercial conventions — unusual or highly constrained geometries may not render correctly","No support for complex architectural features like curved walls, angled ceilings, or multi-level split designs","Inferred dimensions may not match actual building codes or zoning requirements without manual verification","Cannot incorporate existing site surveys or lot constraints into generation process"],"requires":["Text input describing space (minimum ~20 words for reliable interpretation)","Internet connection for cloud-based inference","No specialized software or CAD knowledge required"],"input_types":["natural language text description","optional: reference images or existing floor plans for style matching"],"output_types":["2D floor plan (likely SVG or PDF format)","structured spatial data (room dimensions, adjacencies, square footage)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opalai__cap_1","uri":"capability://image.visual.photorealistic.3d.rendering.from.floor.plans.with.material.and.lighting.synthesis","name":"photorealistic 3d rendering from floor plans with material and lighting synthesis","description":"Transforms 2D floor plans into photorealistic 3D visualizations by synthesizing 3D geometry from the 2D layout, applying materials, textures, and lighting models to create presentation-ready renderings. The system likely uses a neural rendering pipeline or hybrid approach combining procedural geometry generation with learned material and lighting synthesis to produce images suitable for property marketing without manual 3D modeling.","intents":["Convert a floor plan into a photorealistic 3D render showing how a space would look furnished and lit for property listings","Generate multiple viewing angles and lighting conditions from a single floor plan to create virtual tours or marketing materials","Visualize interior design concepts with different furniture, color schemes, and finishes to help clients understand design intent"],"best_for":["Real estate marketing teams creating listing materials and virtual staging content","Property developers presenting design concepts to investors or buyers","Interior designers and staging professionals who need quick visualization of design proposals"],"limitations":["Photorealism quality depends on training data — may struggle with unusual architectural styles or high-end luxury finishes","Limited control over specific material properties, furniture placement, and decor details — outputs are semi-deterministic","Cannot incorporate client-provided furniture or custom design elements beyond text descriptions","Rendering time and quality may vary based on floor plan complexity and requested detail level","No support for outdoor/landscape visualization or complex multi-story interactions"],"requires":["Valid 2D floor plan as input (from text-to-floor-plan capability or uploaded CAD file)","Optional: style preferences, material descriptions, or reference images","Internet connection for cloud rendering","Processing time likely 30 seconds to 2 minutes per render depending on complexity"],"input_types":["2D floor plan (SVG, PDF, or raster image)","optional: text descriptions of style, materials, lighting preferences","optional: reference images for aesthetic matching"],"output_types":["photorealistic 2D image (PNG, JPEG, likely 1080p-4K resolution)","optional: multiple viewing angles or lighting variations"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opalai__cap_2","uri":"capability://image.visual.property.staging.and.furnishing.synthesis.with.style.customization","name":"property staging and furnishing synthesis with style customization","description":"Automatically populates empty floor plans with contextually-appropriate furniture, decor, and fixtures based on room type and user-specified style preferences, using a learned model that understands spatial relationships, furniture scale, and aesthetic coherence. The system generates staged interiors that reflect different design styles (modern, traditional, minimalist, etc.) without requiring manual furniture placement or 3D asset management.","intents":["Automatically stage an empty property with furniture and decor to show potential buyers how the space could be furnished","Generate multiple staging variations (modern vs. traditional, luxury vs. budget-conscious) to appeal to different buyer demographics","Create virtual staging for vacant properties without the cost and logistics of physical staging"],"best_for":["Real estate agents selling vacant or unfurnished properties who need to show buyer appeal without physical staging costs","Property developers and builders showcasing model homes or completed units","Interior designers presenting multiple design concepts to clients for comparison"],"limitations":["Furniture placement may not always respect spatial constraints or traffic flow patterns — outputs require human review","Limited ability to incorporate specific furniture pieces or brands that clients want to showcase","Style customization likely limited to broad categories (modern, traditional, minimalist) rather than granular design control","May not accurately represent furniture scale or proportions in unusual room shapes","No support for custom or high-end designer pieces beyond generic style categories"],"requires":["Valid floor plan with room type information (bedroom, kitchen, living room, etc.)","Style preference specification (text description or selection from predefined styles)","Internet connection for synthesis","Processing time likely 30-60 seconds per variation"],"input_types":["2D floor plan with room labels","style preference (text or category selection)","optional: budget or aesthetic constraints"],"output_types":["photorealistic 3D render with furnished interior","optional: multiple style variations for comparison"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opalai__cap_3","uri":"capability://image.visual.multi.angle.virtual.tour.generation.from.single.floor.plan","name":"multi-angle virtual tour generation from single floor plan","description":"Generates multiple photorealistic viewing angles and camera perspectives from a single floor plan and 3D model, creating a navigable virtual tour experience that allows viewers to explore the property from different vantage points. The system likely uses camera path planning and view synthesis to generate consistent, spatially-coherent images across multiple angles without requiring manual camera setup or separate renders for each view.","intents":["Create a virtual walkthrough of a property that buyers can explore from multiple angles without visiting in person","Generate marketing materials showing different rooms and perspectives from a single floor plan input","Produce 360-degree or multi-angle views for online property listings and virtual tours"],"best_for":["Real estate agents creating online listing materials for remote buyers or international investors","Property developers showcasing completed or pre-construction units virtually","Real estate platforms and portals integrating immersive property visualization"],"limitations":["Virtual tour consistency may degrade across multiple angles — spatial coherence not guaranteed","Limited interactivity — likely pre-generated fixed viewpoints rather than fully navigable 3D environments","Cannot incorporate dynamic elements like lighting changes, seasonal variations, or occupancy scenarios","Rendering multiple angles increases processing time and computational cost","May not support complex multi-story properties or outdoor/landscape integration"],"requires":["Valid 2D floor plan and 3D model","Specification of desired viewing angles or automatic camera path generation","Internet connection for synthesis and delivery","Processing time likely 2-5 minutes for complete tour depending on angle count"],"input_types":["2D floor plan","3D model or rendering parameters","optional: camera angle specifications or automatic path planning"],"output_types":["multiple photorealistic images (one per viewing angle)","optional: interactive web-based tour viewer or video sequence"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opalai__cap_4","uri":"capability://data.processing.analysis.architectural.constraint.validation.and.code.compliance.checking","name":"architectural constraint validation and code compliance checking","description":"Validates generated floor plans against building codes, zoning regulations, and architectural standards (minimum room dimensions, egress requirements, accessibility standards, etc.) by comparing the generated layout against a rule-based constraint database. The system identifies potential code violations or design issues and flags them for user review, though final compliance verification likely requires professional architect review.","intents":["Verify that AI-generated floor plans meet local building codes and zoning requirements before presenting to clients or authorities","Identify potential accessibility or safety issues in generated layouts (egress paths, door widths, etc.)","Ensure generated designs comply with standard residential or commercial space requirements"],"best_for":["Real estate developers and builders who need to validate designs before submitting to planning departments","Architects and designers using AI-generated layouts as starting points who need to identify code issues","Property managers ensuring renovations or staging comply with building standards"],"limitations":["Constraint database likely covers only common building codes — may not include jurisdiction-specific or specialized regulations","Validation is advisory only — does not guarantee legal compliance, which requires professional architect review","Cannot account for site-specific constraints like lot shape, utilities, or environmental factors","May produce false positives or negatives depending on rule completeness and floor plan interpretation accuracy","Requires explicit jurisdiction/code specification — defaults may not match local requirements"],"requires":["Valid floor plan with room type and dimension information","Jurisdiction or building code specification (US IBC, local codes, etc.)","Internet connection for constraint database access","Validation results returned within seconds"],"input_types":["2D floor plan with room labels and dimensions","jurisdiction/building code specification"],"output_types":["validation report with flagged issues","structured data listing violations and recommendations","optional: annotated floor plan highlighting problem areas"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opalai__cap_5","uri":"capability://automation.workflow.batch.floor.plan.and.rendering.generation.with.project.management","name":"batch floor plan and rendering generation with project management","description":"Processes multiple floor plan requests and rendering jobs in batch mode with project organization, version history, and asset management capabilities. The system queues requests, manages computational resources, tracks generation status, and organizes outputs by project, allowing users to manage portfolios of properties or design variations without manual file management.","intents":["Generate floor plans and renderings for multiple properties in a single batch operation to accelerate portfolio creation","Organize and track multiple design iterations and variations for a single property across versions","Manage a portfolio of properties with consistent naming, organization, and asset storage"],"best_for":["Real estate brokerages and teams managing multiple property listings simultaneously","Property developers with large portfolios needing systematic visualization generation","Design agencies handling multiple client projects with version control requirements"],"limitations":["Batch processing introduces queue delays — individual requests may wait for resource availability","Version history storage likely limited by account tier or storage quota","No collaborative editing or real-time multi-user project management","Export and integration options may be limited to specific formats or platforms","Batch operations may have minimum/maximum size constraints"],"requires":["Multiple floor plan descriptions or files for batch processing","Project organization structure (folder/naming conventions)","Internet connection for cloud processing","Account with sufficient storage quota for outputs"],"input_types":["multiple text descriptions or floor plan files","project metadata (property names, client info, etc.)","optional: batch configuration (rendering quality, style preferences)"],"output_types":["organized project folder with floor plans and renderings","version history and asset management interface","optional: batch export in multiple formats"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_opalai__cap_6","uri":"capability://image.visual.style.transfer.and.aesthetic.customization.from.reference.images","name":"style transfer and aesthetic customization from reference images","description":"Applies visual styles and aesthetic preferences from user-provided reference images to generated floor plans and 3D renderings, using image-to-image translation or style transfer techniques to match the visual character of reference materials. The system analyzes reference images for color palettes, material finishes, lighting moods, and design elements, then applies these learned styles to new renderings without requiring explicit parameter tuning.","intents":["Generate renderings that match a specific design aesthetic or mood shown in reference images provided by clients","Apply consistent visual styling across multiple properties or design variations to maintain brand coherence","Visualize how a property would look with design inspiration from reference images without manual styling"],"best_for":["Interior designers and staging professionals who want to apply client-provided aesthetic references to generated visualizations","Real estate teams maintaining consistent visual branding across property listings","Developers and architects using reference images to guide AI-generated design outputs"],"limitations":["Style transfer quality depends on reference image similarity to generated output — may fail with very different architectural styles","Cannot extract and apply specific design elements (furniture, fixtures) from references — only visual aesthetic","May over-apply style characteristics, resulting in unrealistic or incoherent outputs","Requires high-quality reference images for reliable style extraction","Limited control over which style elements are applied — process is largely automatic"],"requires":["Generated floor plan or 3D rendering as base","One or more reference images showing desired aesthetic","Internet connection for style transfer processing","Processing time likely 30-60 seconds per style transfer"],"input_types":["base floor plan or 3D rendering","reference image(s) showing desired aesthetic"],"output_types":["styled floor plan or rendering matching reference aesthetic","optional: multiple style variations from different references"],"categories":["image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Text input describing space (minimum ~20 words for reliable interpretation)","Internet connection for cloud-based inference","No specialized software or CAD knowledge required","Valid 2D floor plan as input (from text-to-floor-plan capability or uploaded CAD file)","Optional: style preferences, material descriptions, or reference images","Internet connection for cloud rendering","Processing time likely 30 seconds to 2 minutes per render depending on complexity","Valid floor plan with room type information (bedroom, kitchen, living room, etc.)","Style preference specification (text description or selection from predefined styles)","Internet connection for synthesis"],"failure_modes":["Spatial accuracy limited to typical residential/commercial conventions — unusual or highly constrained geometries may not render correctly","No support for complex architectural features like curved walls, angled ceilings, or multi-level split designs","Inferred dimensions may not match actual building codes or zoning requirements without manual verification","Cannot incorporate existing site surveys or lot constraints into generation process","Photorealism quality depends on training data — may struggle with unusual architectural styles or high-end luxury finishes","Limited control over specific material properties, furniture placement, and decor details — outputs are semi-deterministic","Cannot incorporate client-provided furniture or custom design elements beyond text descriptions","Rendering time and quality may vary based on floor plan complexity and requested detail level","No support for outdoor/landscape visualization or complex multi-story interactions","Furniture placement may not always respect spatial constraints or traffic flow patterns — outputs require human review","builder identity is not verified yet","no observed match outcomes 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