Abstract: A computer implemented method includes accessing training data that includes images, associated alternative text, and proximately located text providing instructions describing a user interface. The images are paired with text captions derived from the proximately located text and image's alternative text, training a vision and language model in a self-supervised manner using language masking, region masking, and image-text alignment techniques on respective image region features and tokenized text captions. Fine-tuning of the vision and language model is performed to obtain a specialized model representing user interface elements and associated functions.