To evaluate the ∼20, 000 remaining MOFs in QMOF and CDP-MOF, we make use of two pretrained machine-learning models, MOFTransformer and GPT-J to predict five photocatalytic descriptors -charge transport (m * red ), charge separation (Λ), visible light absorption (VIS), and alignment to the photoredox reactions (HER and OER). For each of these properties, we develop a binary classification model to predict whether a given MOF meets the criteria (see SI for thresholds).