Chest X-rays are one of the most common form of radiological examinations. They are relatively inexpensive and quick to perform. However, the ability to interpret a radiograph may take years of training for a highly skilled practitioner. Automatic generation of radiology reports, therefore, can be an attractive method to support clinical pathways and patient care. In this work, we present RATCHET: RAdiological Text Captioning for Human Examined Thoraxes. RATCHET is trained on free-text radiology reports from the MIMIC-CXR dataset, which demonstrated to be highly linguistic fluent whilst being clinically accurate.