Transcription factors are proteins able to selectively bind DNA short traits, namely Transcription Factors Binding Sites, in order to regulate gene expression both in terms of repression and activation. Despite plenty of studies focusing on Transcription Factors and on the role they play in specific biological tasks or diseases, is available in literature, to our knowledge there is no tool able to automatically provide a list of Transcription Factors involved in this task and the associated interaction network through a solid computational analysis. TRANSPARENT (TRANScriPtion fActor REgulatory NeTwork) is a user-friendly python tool designed to help researchers in studying given biological tasks or given diseases in human, by identifying Transcription Factors controlling and regulating the expression of genes associated with that task or disease. The list of Transcription Factors, that are significantly associated with a gene pool and the correspondent P-value are provided together with the related Transcription Factors network that can be directly visualized through STRING database. The effectiveness and reliability of the tool was assessed by applying it to two different test-cases: Schizophrenia and Autism disorders. The obtained results clearly show that identified TFs, for both datasets, are significantly associated with those disorders, both in terms of gene enrichment and coherence with literature. The proposed tool TRASPARENT can be a useful instrument to investigate transcription factor networks and unveil the role that TFs play in given biological tasks and diseases.