Transcription factors are proteins that regulate all eukaryotic gene transcription, and therefore, understanding them is essential to properly understanding an organism’s metabolic pathways and how it may react to stresses. Transcription factors have been extensively investigated in many organism groups, including land plants, yet poorly investigated in the red algae (phylum Rhodophyta). Red algae are a clade of globally distributed marine and aquatic organisms, containing both microalgae and seaweeds. Historically, red algae have had limited genomic and transcriptomic resources available, however, there has recently been an overwhelming increase in the number of assemblies released, providing an opportunity for in-depth bioinformatic analysis. In this research, we collated a dataset of 35 genome and 38 transcriptome assemblies from various red algae into a database, AlgaeDB (AlgaeDB - https://www.algaedb.org), which is a free publicly available database platform inclusive of functional gene annotations, such as those involved in the regulation of gene expression. AlgaeDB can be explored using dynamic graphing capabilities, interactive searches, and has BLAST capability. Our interrogation of AlgaeDB predicted transcription factor proportions were largely consistent with prior studies, however, in several red algae we also identified a putative trihelix family protein, a light sensitive transcription factor involved in secondary metabolism and stress response, as well as a YABBY transcription factor that was identified across multiple Galdieria species. This represents the first report for trihelix family and YABBY transcription factors present in red algae. These predictions were supported through phylogenomic analysis and structural protein predictions. In summary, we prepared a wide range of public genome and transcriptome red algal assemblies into AlgaeDB, which was utilised to investigate their transcription factors, and identified two transcription factors not previously identified.