Through in silico screening, this study seeks to demonstrate a connection between ethnopharmacological claims and the bioactive components found in Garri against potential targets for diabetes. The process of molecular docking involving different bonding modes of compounds in Garri with active cavities of target receptors for proteins human pancreatic alpha-amylase (HPA) and human lysosomal acid-alpha-glucosidase (GAA) was carried out in autodock vina. Density functional theory was used for quantum chemical analysis, while ADME/T properties of the top binding compounds were predicted using the Admetsar and Swissadme database. From the results, (20E)-6-hydroxycholesta-9(11),20( 22)-diene-3,23-dione, 25-dedhydrotigogenin, cochlioquinone B, and psi-diosgenin, showed the best docking results (> −8.1 to −9.8 kcal/mol), when compared with the standard control drugs acarbose (−7.9 kcal/mol) and 1-deoxynojirimycin (< −5.1 kcal/mol). The results from the ADME/T prediction also revealed that the compounds had good pharmacokinetic properties. The study provided insights into the development of better inhibitors to treat diabetes from garri.