Natural Language Processing (NLP) is a critical research area in artificial intelligence, which has spawned a variety of useful applications. However, creating an online NLP service from scratch is still challenging for non-expert users, which has to go through complex steps such as corpus annotation, model training and deployment. Existing tools mainly focus on corpus annotation, which rarely support collaborative annotation or online model training and deployment. To meet the requirement of rapid deployment of NLP services, we develop a novel full process platform nPTAS, which supports collaborative annotation, online model training and model deploying with RESTful interfaces. To validate the effectiveness of the platform, we build a clinical entities recognition service from Chinese Electronic Medical Records on it. The experimental results show that nPTAS improves the efficiency and quality of corpus annotation and greatly reduces the effort to build online NLP services. The platform is available at http://nptas.c2cloud.cn.