Overview
PDF2BIM is an advanced AI-powered tool that automates the conversion of traditional 2D plan sets into detailed, accurate BIM models. Designed for architects, designers, and builders, it simplifies the process of turning static PDFs into actionable 3D models, saving time, reducing errors, and enhancing collaboration

Technical Process

  • Sheet Recognition: Automatically identifies key sheets, such as floor plans, roof plans, and elevations, within uploaded PDFs, streamlining data extraction.

  • Wall Geometry Extraction: Uses OpenCV and HoughLines algorithms to accurately detect wall layouts and structural boundaries.

  • Feature Detection: AI models trained on HuggingFace identify and size architectural elements like doors, windows, and rooflines for precise placement in the BIM model.

  • Elevation Integration: Aligns floor plans with elevations to calculate wall heights, align levels, and determine window sill placements for 3D accuracy.

  • OCR for Room and Metadata: Extracts room names, dimensions, and annotations directly from plans, auto-generating Revit rooms and metadata.

  • BIM-Ready Output: Produces a Revit-compatible model ready for customization, material mapping, and additional automations like framing and QTOs.

Features and Applications

  • Seamless Conversion: Automates the transition from 2D PDFs to intelligent 3D BIM models, eliminating manual drafting bottlenecks.

  • High Precision: Combines multi-view analysis and advanced feature detection for dimensional and spatial accuracy.

  • Enhanced Integration: Outputs models ready for downstream processes like material takeoffs, purchase orders, and construction documentation.