For successful scene text recognition (STR) models, synthetic image generators have alleviated the lack of annotated images from real world. Specifically, they generate multiple with diverse backgrounds, font styles, and shapes enable STR models to learn visual patterns that might not be accessible manually data. In this paper, we introduce a new generator, SynthTIGER, by analyzing techniques u...