The paper introduces the common methods for automatic de-identification of clinical texts, including the method based on rules, machine learning method, comprehensive method, etc., states the challenges for clinical texts practicability, system universality and scalability of clinical texts de-identification research, analyzes the further research direction, and provides reference for researchers of this field.