We present , an off-the-shelf language identification tool. We discuss the design and implementation of , and provide an empirical comparison on 5 longdocument datasets, and 2 datasets from the microblog domain. We find that maintains consistently high accuracy across all domains, making it ideal for end-users that require language identification without wanting to invest in preparation of in-domain training data.