From PDF to BIM: Accelerate Energy Modeling with Buildings AI
From PDF to BIM: Accelerate Energy Modeling with Buildings AI
Are you tired of the tedious, error-prone process of converting PDF architectural drawings into Building Information Models (BIM)? It's time to accelerate your workflow with Buildings AI's PDF2BIM tool, designed to transform your energy modeling process.

Conducted on Tuesday, November 4th 2025

Watch on demand (40:55 min)
Overview
Are you tired of the tedious, error-prone process of converting PDF architectural drawings into Building Information Models (BIM)? It's time to accelerate your workflow with Buildings AI's PDF2BIM tool, designed to transform your energy modeling process.
Gone are the days of manually tracing over PDFs to create your models. The PDF2BIM automatically processes architectural drawings, reducing the potential for human error and saving you valuable time. The AI-powered tool utilizes advanced image processing, computer vision, and deep learning to automatically detect key geometric components such as walls, windows, doors, and more directly from your architectural PDFs. Within seconds, these components are converted into FloorSpaceJS, facilitating the generation of precise 3D models ready for energy simulations. The human-in-the-loop workflow allows for easy corrections, ensuring real-world scale and integrity are maintained before moving forward with energy simulations.
Key Learning Objectives
  • Integrating PDF2BIM into Your Workflow: Learn how to use the PDF2BIM tool. Discover how this AI-powered tool eliminates manual tracing, reducing errors and accelerating the model creation process. Explore how advanced AI techniques like image processing, computer vision, and deep learning power the PDF2BIM tool.
  • Real-World Application: Discover how the PDF2BIM tool can be applied to a multistorey commercial building. We'll walk you through a case study showing how this tool was used to convert a large, complex building design from PDF to BIM in just minutes.
Featured Speakers
Webinar speaker - Swapnil Dindorkar

Swapnil Dindorkar

BU Head - Buildings AI
Centre for Computational Technologies Pvt. Ltd. (CCTech)

Swapnil Dindorkar is an engineering simulation professional with more than 14 years of industrial experience in the application of flow simulations for the design of solutions toward building physics and electronic thermal management. He is currently in charge of the portfolio of simulationHub products and solutions within CCTech, which cater to sectors of building physics and whole-building performance modeling. He has a background in mechanical engineering with professional certifications in areas like project management, digital business management, and design of NZEB. Swapnil is always eager to discuss and conceptualize solutions for built environment design problems using technologies and services we develop at CCTech and simulationHub.

Webinar speaker - Aaditya Ruikar

Aaditya Ruikar

Product Manager - simulationHub
Centre for Computational Technologies Pvt Ltd. (CCTech)

Aaditya Ruikar is the Product Manager at CCTech. He is involved in developing and delivering high-fidelity technologies for various industries at affordable prices, playing the role of a domain expert. He also has a vision to make these technologies more accessible and user-friendly, leading to better and more efficient design outcomes. His interests lie in researching and simulating real-world systems, particularly in the domains of engineering, physics, and sustainable development. He likes to tackle challenges and work with others to find innovative solutions.