How does the Digs AI handle the Floor plan details and why does it sometimes have a delay for new projects?
Written By JSB (Jason Brown)
Last updated About 1 month ago
Digs’ floor plan processing is designed to give users quick and accurate room identification, helping them navigate and work with their plans efficiently. This process happens in multiple steps, following a first-come, first-served approach. While most floor plans are processed quickly, there may be a small backlog at times due to demand.
The Multi-Step Processing Approach
Digs’ system processes floor plans in three key stages, each refining the accuracy and usability of the blueprint.
Step 1: Basic Identification (Quick Processing)
In this initial step, AI quickly scans the blueprint to detect general room locations. This step prioritizes speed over precision, so rooms may not be separated with high accuracy yet.
•Example: The kitchen, dining, and living room may appear as a single room instead of distinct spaces. In Digs, this is represented as a “Hotspot”—a general highlight over the approximate room area when hovered over.

💡 Why? This provides users with a fast, functional starting point while more detailed processing continues in the background.
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Step 2: Precision Room Boundaries (Detailed Processing)
AI then refines the initial detection by identifying exact room boundaries and estimating spatial elements like walls. At this stage, rooms are distinctly recognized wall to wall, rather than as a general Hotspot.
•Users will start seeing clear separations between spaces such as kitchens, bedrooms, and hallways.

💡 Why? This step provides a much higher level of accuracy, ensuring rooms are individually identified and easier to work with.
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Step 3: 3D Dollhouse Rendering (Beta Feature)
For Beta users only, Digs generates a 3D Dollhouse view, giving a more immersive visualization of the space. AI processes walls, objects, and room layouts to create a three-dimensional view.
• Example: The system can identify specific objects, such as a refrigerator in the kitchen.

💡 Why? This advanced step enhances the visualization of the home, allowing for better planning and coordination.
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Is This Process Fully AI-Driven?
🚫 No, it is a Hybrid Approach.
Digs uses a hybrid AI + human approach to ensure the highest accuracy. AI does as much as possible, but human reviewers fact-check and refine the results to improve precision. This training process helps the system become faster and more reliable over time, continually improving how Digs understands floor plans.