Traditional clustering often results in imbalanced clusters, limiting its suitability for real-world problems. In response, capacitated clustering methods have emerged, aiming to achieve balanced clusters by limiting points in each cluster. In this paper, we introduce online algorithms with provable bounds on opened centers and cost approximation. We validate our methods experimentally. © 2024 Owner/Author.