Our methodology is based on automatic document image labeling which is done by a deep convolutional neural network (CNN) trained for font classification. As artificial intelligence typically requires a great amount of data, we manually prepared a training dataset of more than 35’000 document images, each labeled with the used fonts. We recently published this dataset along with a complete description of the approach we used (Seuret et al. 2019). For these test pages, we reach an accuracy slightly higher than 98% for recognising the main font.