Convert floor plan images to vector data and JSON metadata
Identify and classify objects in images
Analyze images to identify marine species and objects
Answer queries and manipulate images using text input
Generate depth map from an image
Recognize micro-expressions in images
Enhance and upscale images, especially faces
Search for medical images using natural language queries
Generate correspondences between images
Mark anime facial landmarks
Vote on background-removed images to rank models
Tag images to find ratings, characters, and tags
Detect if an image is AI-generated
Automated Floor Plan Digitalization is an AI-powered tool designed to convert floor plan images into precise vector data and JSON metadata. It streamlines the process of transforming physical or raster floor plans into digital formats, enabling easier editing, analysis, and integration into various applications. This tool is particularly useful for architects, real estate professionals, and facility managers looking to modernize their workflows and improve collaboration.
• Image to Vector Conversion: Accurately converts raster floor plans into editable vector formats like SVG or DWG.
• Metadata Extraction: Automatically extracts room labels, dimensions, and other relevant information into JSON format.
• Scalability: Processes multiple floor plans efficiently, making it ideal for large projects.
• Support for Multiple Formats: Works with various image formats, including PDF, PNG, and JPG.
• Customizable Output: Allows users to specify output formats and levels of detail.
What file formats are supported?
The tool supports common image formats such as PDF, PNG, JPG, and TIFF for input, and outputs vector data in formats like SVG, DWG, and JSON metadata.
How accurate is the conversion?
The accuracy depends on the quality of the input image. High-resolution images with clear markings will yield the best results, while blurry or distorted images may require manual adjustments.
Can I customize the output metadata?
Yes, users can specify metadata fields and formatting requirements during the configuration step to tailor the output to their needs.