In this paper, an end-to-end inpainting network for incomplete text (INIT), which can reconstruct the incomplete text into a complete text. On the incomplete text dataset reconstructed by INIT, the existing text recognition method can achieve high recognition accuracy, for instance ASTER can reach 82.99%, which verifies the effectiveness of our proposed INIT. Furthermore, we propose a method of incomplete text generation and build a synthesized incomplete text dataset.