PhiTag is an open source platform for your text annotation needs. As a leading research university in machine learning in Europe, we know the importance of custom data labeling, and understand the importance of annotation quality! We want to make it as easy as possible for you to get the data that you need, which is why we offer a wide range of annotator selection options and have built-in quality control mechanisms. Our introductory guide will help you get started with PhiTag, and for our more advanced users, we have a detailed guides on our different use cases, such as how to use PhiTag as an annotator or how to use PhiTag as an annotation manager, as well as how to use the PhiTag in-built corpus section. We know that one size does not fit all, which is why we have made PhiTag as flexible as possible and open source, so that the platform can be adapted to your needs. Please take a look at our Supported Tasks to see if PhiTag already supports your use case, and if not, please contact us to discuss how we can help you. Do also check our use cases.