The techniques developed within the field of Biomedical Text Mining (BioTM) have been mainly tested and evaluated over a set of known corpora built by a few researchers with a specific goal or to support scientific competitions. The generalized use of BioTM software therefore requires that an enlarged set of corpora is made available covering a wider range of biomedical re-search topics. This work proposes a soft-ware tool that facilitates the task of building a BioTM corpus by providing a user-friendly and interoperable tool that allows both automatic and manual annotation of biomedical documents (supporting both ab-stracts and full text). This tool is also inte-grated in a more comprehensive BioTM framework.