In this paper, we present a videotext detection system based on automated neural network training. Compared with previous work [3, 5, 7] which detects only graphical text with fixed parameters, our system 1) provides a training mechanism so the parameters of the system can be adapted to changing environments, 2) can detect both graphical text and scene text located in complex backgrounds, 3) can detect text in any orientation and 4) can perform multilingual text detection. Experiments show the effectiveness of our system in various text detection tasks.