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The digital solution for your professional 2D animation projects.

Turn standard photographs and laser scans into high-precision 3D reality meshes for infrastructure and smart city development.

ContextCapture, a flagship solution by Bentley Systems (transitioning into the iTwin Capture suite for 2026), is an enterprise-grade photogrammetry and reality modeling engine designed to produce highly detailed 3D meshes from simple photographs and point clouds. Its technical architecture is built on advanced computer vision algorithms that perform rigorous aerotriangulation and hybrid reconstruction. By 2026, ContextCapture has solidified its market position as the backbone for heavy infrastructure digital twins, leveraging GPU acceleration and distributed computing (ContextCapture Center) to process massive datasets ranging from individual bridge components to entire city blocks. The software excels in 'hybrid' processing, seamlessly merging RGB imagery with Lidar point clouds to achieve millimeter-level accuracy. As Bentley moves toward a cloud-first ecosystem, ContextCapture provides the foundational geometric data for iTwin applications, enabling real-time asset monitoring and predictive maintenance. It remains a critical tool for surveyors, civil engineers, and urban planners who require scalable, geometrically accurate models that integrate directly into CAD and GIS workflows without the high overhead of manual 3D modeling.
ContextCapture, a flagship solution by Bentley Systems (transitioning into the iTwin Capture suite for 2026), is an enterprise-grade photogrammetry and reality modeling engine designed to produce highly detailed 3D meshes from simple photographs and point clouds.
Explore all tools that specialize in orthomosaic creation. This domain focus ensures ContextCapture delivers optimized results for this specific requirement.
Combines RGB imagery with Lidar point clouds using a weighted algorithm to fill gaps in areas with poor texture.
Proprietary level-of-detail (LOD) format that allows massive meshes to be streamed over the web.
Allows multiple 'Engines' across a network to process a single project in parallel.
AI-driven point cloud classification to separate terrain from vegetation and structures.
Drapes thermal infrared imagery over 3D geometry for heat loss or energy audits.
Mathematical optimization of camera parameters including lens distortion and interior orientation.
C++ and Python interfaces for automating reconstruction workflows and UI customization.
Install ContextCapture Master and Engine on a high-performance workstation with a dedicated NVIDIA GPU.
Create a new Project and 'Block' to organize the dataset.
Import photographs ensuring EXIF metadata (GPS/Altitude) is present for faster alignment.
Optional: Import Lidar point clouds (LAS/LAZ) to supplement photographic data in occluded areas.
Run Aerotriangulation (AT) to compute the camera positions and orientations.
Import and mark Ground Control Points (GCPs) to georeference the model with high precision.
Define the Reconstruction area and set tiling options for large-scale datasets.
Select the Production format (e.g., 3MX for web viewing or OBJ for CAD software).
Launch the ContextCapture Engine to perform the heavy computational processing.
Review the Quality Report and export the final 3D reality mesh.
All Set
Ready to go
Verified feedback from other users.
"Users praise the software's ability to handle extremely large datasets and its precision, though many note the steep learning curve and hardware requirements."
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