Convert floor plan images to vector data and JSON metadata
Vote on background-removed images to rank models
Recognize micro-expressions in images
Generate correspondences between images
Enhance and upscale images, especially faces
Analyze fashion items in images with bounding boxes and masks
Generate depth map from images
Generate depth maps from images
Transform face landmark/skin,half of FaceSwap
Tag images with labels
Highlight objects in images using text prompts
Extract image sections by description
streamlit application to for ANPR/ALPR
Automated Floor Plan Digitalization is a cutting-edge technology designed to convert floor plan images into vector data and JSON metadata. This innovative solution leverages AI-powered tools to streamline the process of digitizing floor plans, making it faster and more accurate than traditional manual methods. It is particularly useful for architects, real estate professionals, and facility managers who need to work with precise digital representations of physical spaces.
• Image-to-Vector Conversion: Accurately transforms raster images into editable vector graphics.
• Automated Metadata Extraction: Generates JSON metadata containing room dimensions, labels, and spatial relationships.
• Customizable Output: Allows users to specify formats for vector data (e.g., SVG, DWG) and metadata.
• Real-Time Processing: Delivers results quickly, enabling rapid iteration and decision-making.
• Integration Ready: Compatible with CAD software and other tools for seamless workflows.
• Scalability: Processes multiple floor plans simultaneously, ideal for large-scale projects.
What types of floor plan images are supported?
Automated Floor Plan Digitalization supports a wide range of image formats, including JPEG, PNG, and TIFF.
How accurate is the conversion process?
The AI-powered conversion achieves high accuracy, typically exceeding 90% for clear, well-lit images.
Is my uploaded data secure?
Yes, the system employs enterprise-grade security measures to protect your uploaded files and generated data.