{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_room-ai","slug":"room-ai","name":"Room AI","type":"product","url":"https://roomai.com","page_url":"https://unfragile.ai/room-ai","categories":["image-generation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_room-ai__cap_0","uri":"capability://image.visual.single.image.room.redesign.generation","name":"single-image room redesign generation","description":"Accepts a photograph of an existing room and generates multiple photorealistic interior design variations using diffusion-based image generation conditioned on the input image. The system likely uses a vision encoder to extract spatial and stylistic features from the input, then conditions a generative model (e.g., ControlNet or similar spatial-aware diffusion) to produce variations that maintain the room's fundamental geometry while transforming aesthetic elements like colors, furniture, and decor. Multiple variations are generated in parallel to provide design exploration options.","intents":["I want to see what my living room would look like with a modern minimalist aesthetic without hiring a designer","I need to generate 5-10 different design directions quickly to show my partner before committing to a style","I want to visualize how a room redesign would look before spending money on furniture and paint"],"best_for":["DIY homeowners and renters exploring design directions without professional consultation","Budget-conscious decorators seeking mood boards and inspiration before purchasing decisions","Non-designers who lack access to interior design software or professional services"],"limitations":["Ignores structural constraints like load-bearing walls, electrical outlets, HVAC vents, and plumbing fixtures, producing designs that may be physically impossible to implement","Cannot account for room dimensions, ceiling height, or spatial proportions beyond what's visible in the 2D photograph, leading to furniture scale mismatches","No constraint-based generation means designs may violate user preferences or practical requirements (e.g., budget, material availability, accessibility needs)","Photorealism can mask impracticality, misleading users into designs that cannot be realized in physical space"],"requires":["High-quality photograph of the room with adequate lighting and clear view of the space","Internet connection for cloud-based image generation inference","Web browser or mobile app with image upload capability"],"input_types":["image (JPEG, PNG, WebP)","implicit style preferences (via UI selection or text prompt if supported)"],"output_types":["image (photorealistic renderings, typically 1024x1024 or higher resolution)","multiple design variations (typically 4-10 per generation)"],"categories":["image-visual","generative-design"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_room-ai__cap_1","uri":"capability://image.visual.multi.style.design.variation.generation","name":"multi-style design variation generation","description":"Generates design variations across multiple aesthetic styles (modern, minimalist, industrial, bohemian, etc.) from a single room photograph. The system likely maintains a library of style embeddings or prompts that are applied to the diffusion model's conditioning pipeline, allowing systematic exploration of how the same room would appear in different design languages. This enables rapid style-based exploration without requiring the user to manually specify design intent for each variation.","intents":["I want to see how my room would look in 5 different design styles to find what resonates with me","I need to compare modern vs. traditional aesthetics for the same space to decide which direction to pursue","I want to explore how different color palettes and material choices would work in my room"],"best_for":["Homeowners in the early design exploration phase who haven't committed to a style","Renters who want to visualize multiple design directions before purchasing temporary decor","Interior design enthusiasts seeking inspiration across diverse aesthetic categories"],"limitations":["Style embeddings may not capture nuanced or hybrid design preferences that don't fit standard categories","No control over specific material choices, color hex values, or brand-specific furniture within each style variation","Styles are applied uniformly across the entire room, preventing mixed-style designs or accent-based approaches","Cannot guarantee that generated styles are actually achievable with real-world budget or material availability"],"requires":["Room photograph with clear visibility of the space","Pre-defined style library (embedded in the application)","Cloud inference capability for parallel generation of multiple style variations"],"input_types":["image (room photograph)","style selection (from predefined categories: modern, minimalist, industrial, bohemian, traditional, etc.)"],"output_types":["image (photorealistic room renderings in selected styles)","style-tagged design variations (metadata indicating which style was applied)"],"categories":["image-visual","generative-design"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_room-ai__cap_2","uri":"capability://image.visual.photorealistic.rendering.with.perspective.preservation","name":"photorealistic rendering with perspective preservation","description":"Generates interior design variations while maintaining the original photograph's camera perspective, lighting conditions, and spatial geometry. The system uses perspective-aware conditioning (likely via ControlNet depth maps or edge detection) to ensure that generated designs respect the original viewpoint and don't introduce geometric distortions. This allows users to see designs in the exact context of their existing space, with consistent lighting and viewing angle.","intents":["I want to see how a design change would look from the exact angle and lighting of my current room","I need renderings that match my room's natural lighting so I can accurately assess color choices","I want to show designs to my contractor from the same perspective as my reference photo"],"best_for":["Homeowners who need to communicate design intent to contractors or furniture retailers using consistent perspectives","Users who want to assess how designs would actually appear in their specific room's lighting conditions","Renters or temporary residents who need to visualize changes without permanent modifications"],"limitations":["Perspective preservation is limited to the original camera angle; users cannot see designs from alternative viewpoints (e.g., from the opposite side of the room)","Lighting conditions are preserved from the original photo, which may not represent different times of day or artificial lighting scenarios","Photorealism can create false confidence in designs that may not work with actual furniture dimensions or material properties","No ability to adjust camera angle, zoom, or perspective to explore designs from different vantage points"],"requires":["High-quality, well-lit photograph of the room taken from a stable camera position","Sufficient visual clarity to extract perspective and depth cues","Adequate image resolution (minimum 1024x768 recommended for accurate perspective detection)"],"input_types":["image (room photograph with clear perspective and lighting)"],"output_types":["image (photorealistic renderings maintaining original perspective and lighting)","design variations with consistent viewpoint across multiple styles or iterations"],"categories":["image-visual","generative-design"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_room-ai__cap_3","uri":"capability://image.visual.batch.room.design.generation.with.variation.export","name":"batch room design generation with variation export","description":"Generates and exports multiple design variations for a single room in a batch operation, allowing users to download collections of design options for offline review, sharing, or presentation. The system queues generation requests, manages inference resources to process multiple variations in parallel or sequence, and provides export functionality (likely as image files or a gallery format). This enables users to create mood boards or presentation decks without manual downloading of individual images.","intents":["I want to generate 20 design variations and download them all at once to create a mood board","I need to export designs in a format I can share with my partner or show to a contractor","I want to create a presentation comparing different design directions for my room"],"best_for":["Homeowners preparing to discuss designs with contractors, architects, or furniture retailers","Couples or families who need to review and compare multiple design options together","Renters or temporary residents creating mood boards for decoration planning"],"limitations":["Exported images are static renderings with no interactive 3D model or parametric design capability","No built-in tools for annotation, measurement, or cost estimation on exported designs","Batch generation may incur significant API costs or time delays depending on the number of variations requested","Exported designs cannot be easily modified or refined without regenerating from the original image","No integration with procurement systems, furniture retailers, or contractor management tools"],"requires":["Room photograph for initial design generation","Sufficient storage space for downloaded image files (typically 5-50 MB per batch depending on resolution and quantity)","Internet connection for download operations"],"input_types":["image (room photograph)","batch parameters (number of variations, style selections, generation preferences)"],"output_types":["image files (JPEG or PNG, typically 1024x1024 or higher resolution)","gallery or collection format (potentially ZIP archive or web-based gallery link)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_room-ai__cap_4","uri":"capability://image.visual.design.to.shopping.list.conversion.limited","name":"design-to-shopping-list conversion (limited)","description":"Attempts to identify furniture, decor, and material elements visible in generated designs and suggest related products or categories for purchase. The system likely uses object detection on the generated images to identify furniture types, colors, and styles, then maps these to product categories or shopping recommendations. However, this capability is limited by the lack of specific brand information, exact dimensions, or cost data, making it more of a shopping inspiration tool than a procurement system.","intents":["I want to know what types of furniture and decor I should look for to match a generated design","I need suggestions for where to buy items similar to what's shown in a design variation","I want to understand what material and color choices are used in a design so I can search for similar products"],"best_for":["Budget-conscious shoppers who want design inspiration linked to product categories","DIY decorators who need guidance on what types of furniture to search for","Users exploring design ideas before committing to specific purchases"],"limitations":["No specific product recommendations, brand information, or pricing data — only generic product categories","Cannot account for actual furniture dimensions, which may not match the room's scale in the generated design","No integration with furniture retailers, e-commerce platforms, or inventory systems","AI-generated designs may suggest furniture that doesn't actually exist or is unavailable in the user's region","No cost estimation or budget tracking functionality","Cannot verify that suggested products are actually compatible with the room's existing elements or structural constraints"],"requires":["Generated design image with clearly visible furniture and decor elements","Object detection model trained on furniture and interior design elements","Product category database or mapping system"],"input_types":["image (generated design rendering)"],"output_types":["product category suggestions (e.g., 'mid-century modern sofa', 'geometric area rug', 'pendant lighting')","shopping recommendations (potentially with links to retailer categories or search queries)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_room-ai__cap_5","uri":"capability://image.visual.iterative.design.refinement.via.re.generation","name":"iterative design refinement via re-generation","description":"Allows users to refine generated designs by providing feedback or adjusting parameters and regenerating variations. The system accepts user input (e.g., 'more minimalist', 'warmer colors', 'add plants') and re-conditions the diffusion model with updated prompts or style parameters, generating new variations that incorporate the feedback. This enables an iterative design exploration loop without requiring the user to start from scratch with a new room photograph.","intents":["I want to refine a design I liked by asking for more of a specific element (e.g., 'add more plants', 'make it brighter')","I need to adjust a design direction based on feedback from my partner or family","I want to explore variations of a design I liked by tweaking specific parameters"],"best_for":["Homeowners in active design exploration who want to refine ideas iteratively","Couples or families collaborating on design decisions and providing feedback","Users who want to explore subtle variations without regenerating from the original image"],"limitations":["Iterative refinement can lead to design drift, where successive refinements move away from the original room's context","No version control or design history, making it difficult to compare earlier iterations with current versions","Feedback is interpreted via natural language prompts, which may be ambiguous or misinterpreted by the model","Each iteration incurs additional API costs, potentially making extensive refinement expensive","No ability to 'lock' certain elements while refining others (e.g., keep the furniture layout but change colors)","Refinements are applied globally to the entire room, not to specific zones or elements"],"requires":["Previously generated design image or design session","Natural language input or parameter adjustment interface","Cloud inference capability for re-generation"],"input_types":["text (natural language feedback or refinement requests)","parameter adjustments (style, color temperature, minimalism level, etc.)","reference to previous design generation"],"output_types":["image (refined design variations incorporating user feedback)","multiple refinement options (typically 2-4 variations per refinement request)"],"categories":["image-visual","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_room-ai__cap_6","uri":"capability://image.visual.room.type.and.context.detection","name":"room type and context detection","description":"Automatically detects the type of room (bedroom, living room, kitchen, bathroom, etc.) and its current design context (style, condition, existing furniture) from the input photograph. The system likely uses image classification and object detection models to identify room type, existing furniture, color schemes, and design style, then uses this context to inform design generation (e.g., generating bedroom designs that respect bedroom-specific needs like lighting and furniture placement). This enables context-aware design suggestions without explicit user specification.","intents":["I want the AI to understand that this is a bedroom and suggest designs appropriate for sleeping and relaxation","I need designs that respect the existing furniture and style in my room, not completely replace them","I want the AI to recognize my room's current aesthetic and suggest complementary design directions"],"best_for":["Users who want context-aware design suggestions without manually specifying room type or existing elements","Homeowners seeking designs that build on existing furniture and decor rather than replacing everything","Users who want the AI to understand functional requirements of their room (e.g., bedroom lighting, kitchen workflow)"],"limitations":["Room type detection may fail for unusual room configurations, multi-purpose spaces, or rooms with ambiguous functions","Existing furniture detection is limited to what's visible in the photograph; off-screen or partially hidden elements are missed","Context detection does not account for functional requirements like storage needs, accessibility, or workflow optimization","Detected context may bias design suggestions toward conventional layouts, limiting creative or unconventional design exploration","No ability to override detected context if the AI misidentifies room type or existing elements"],"requires":["Clear photograph of the room with visible furniture and design elements","Image classification and object detection models trained on interior design datasets","Room type and furniture taxonomy"],"input_types":["image (room photograph)"],"output_types":["room type classification (e.g., 'bedroom', 'living room', 'kitchen')","detected furniture and decor elements (with confidence scores)","inferred design style and color palette","context-aware design suggestions"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_room-ai__cap_7","uri":"capability://memory.knowledge.design.mood.board.and.inspiration.collection","name":"design mood board and inspiration collection","description":"Allows users to save, organize, and curate generated designs into mood boards or inspiration collections for later review and comparison. The system stores design variations with metadata (style, generation parameters, user ratings), enables tagging and categorization, and provides gallery or comparison views. This creates a persistent design exploration history that users can reference, share, or use to inform final design decisions.","intents":["I want to save my favorite design variations and compare them side-by-side","I need to organize designs by style or room zone so I can see what works together","I want to create a mood board I can share with my partner or show to a designer"],"best_for":["Homeowners in the design exploration phase who want to track and compare multiple options","Couples or families collaborating on design decisions and needing a shared reference","Users preparing to work with professional designers or contractors and needing to communicate preferences"],"limitations":["Mood boards are static image collections with no interactive 3D model or parametric design capability","No integration with professional design tools, making it difficult to hand off mood boards to architects or designers","Limited annotation or note-taking capabilities for explaining design choices or constraints","No cost estimation or procurement integration, so mood boards cannot be directly converted to shopping lists or budgets","Stored designs may be lost if the user's account is deleted or the service is discontinued","No version control or design history tracking beyond what's explicitly saved"],"requires":["User account with persistent storage","Generated design images to save","Gallery or collection management interface"],"input_types":["generated design images","user ratings, tags, and notes","organizational parameters (style, room zone, design direction)"],"output_types":["mood board or collection (organized gallery of saved designs)","comparison views (side-by-side or grid layout)","shareable links or export formats (potentially PDF or image collection)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["High-quality photograph of the room with adequate lighting and clear view of the space","Internet connection for cloud-based image generation inference","Web browser or mobile app with image upload capability","Room photograph with clear visibility of the space","Pre-defined style library (embedded in the application)","Cloud inference capability for parallel generation of multiple style variations","High-quality, well-lit photograph of the room taken from a stable camera position","Sufficient visual clarity to extract perspective and depth cues","Adequate image resolution (minimum 1024x768 recommended for accurate perspective detection)","Room photograph for initial design generation"],"failure_modes":["Ignores structural constraints like load-bearing walls, electrical outlets, HVAC vents, and plumbing fixtures, producing designs that may be physically impossible to implement","Cannot account for room dimensions, ceiling height, or spatial proportions beyond what's visible in the 2D photograph, leading to furniture scale mismatches","No constraint-based generation means designs may violate user preferences or practical requirements (e.g., budget, material availability, accessibility needs)","Photorealism can mask impracticality, misleading users into designs that cannot be realized in physical space","Style embeddings may not capture nuanced or hybrid design preferences that don't fit standard categories","No control over specific material choices, color hex values, or brand-specific furniture within each style variation","Styles are applied uniformly across the entire room, preventing mixed-style designs or accent-based approaches","Cannot guarantee that generated styles are actually achievable with real-world budget or material availability","Perspective preservation is limited to the original camera angle; users cannot see designs from alternative viewpoints (e.g., from the opposite side of the room)","Lighting conditions are preserved from the original photo, which may not represent different times of day or artificial lighting scenarios","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:33.095Z","last_scraped_at":"2026-04-05T13:23:42.560Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=room-ai","compare_url":"https://unfragile.ai/compare?artifact=room-ai"}},"signature":"cT8LA8tFlasVKrffp7aOoQXF8YU417PiLsdi8XjoglMVxyWogTp12k19mGs0DqG4qOnUoUbl7hHFU3ay3NidDg==","signedAt":"2026-06-22T06:54:45.958Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/room-ai","artifact":"https://unfragile.ai/room-ai","verify":"https://unfragile.ai/api/v1/verify?slug=room-ai","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}