This study provides validity evidence for automated scoring of oral reading fluency (ORF) using off-the-shelf automatic speech recognition (ASR) models. A corpus of 320 audio recordings of 63 children collected with a digital literacy platform was used to estimate words correct per minute (WCPM) with six model variants.