shows that to this moment, about 90% of the experimental COFs originally queried for this work remain unexplored for photocatalysis. Given a large number of already synthesized COFs, 9 computational screening approaches can aid the exploration of properties and structure-property relationships by quickly surveying many variables, thus redirecting experimental efforts. Here, we developed a high-throughput density functional theory (DFT)-based workflow to discover photocatalytically active COFs. The strategy behind our workflow is to implement cost-effective DFT calculations enabling us to discover materials of interest given a high number of COFs structures. Our methodology defines a set of descriptors to evaluate the material's performance in the fundamental steps of photocatalysis. The descriptors are obtained through post-processing of DFT outputs to properly assess photocatalysis-specific features associated with the material's performance. The screening workflow takes as input the "Clean, Uniform, Refined with Automatic Tracking from Experimental Database" (CURATED) COFs, a database of reported experimental COFs.