High-throughput tensile testing enables rapid generation of stress-strain data from hundreds or even thousands of specimens, creating a need for efficient fracture surface characterization. Until now, fracture surface analysis has not been possible at this scale. This project developed a rapid and standardized fracture characterization workflow, creating the capability to correlate fracture morphology with mechanical behavior across large experimental datasets. To enable fracture characterization at this large scale, a standardized imaging setup was developed and evaluated. A sample holder was designed for 50 fractured specimens, and an automated imaging sequence captured 351 images at different Z-heights per fracture surface. Imaging cropping and aligning were used to create fully focused images, followed by height maps and 3D reconstructions for fracture feature identification. A digital workflow was also developed for sample tracking and data organization. The approach was demonstrated on 25 tensile specimens, generating 50 fracture surfaces. Tensile testing and imaging were completed in approximately 1.45 hours, producing 17,550 images. Stress-strain data could be linked to fracture morphology, while 3D reconstruction revealed surface height variations and features such as dimples, necking, and cracks. These results establish a foundation for automated ductile-brittle classification and large-scale fracture-property correlations.