labelbuddy

labelbuddy is a desktop application for text labelling: tagging spans of text with different labels. Manual text annotations are useful for information extraction, a variety of Natural Language Processing tasks, literature reviews, and in many other contexts.

labelbuddy is a lightweight application, easy to install and use. To get started, download labelbuddy, and have a look at the documentation. You can also see some screenshots.

labelbuddy is open-source, and the source code is hosted on GitHub.

labelbuddy was created to support text-mining and meta-analysis research projects in the ORIGAMI lab at McGill University. It should be suitable for a wide variety of text annotation projects.

Some features of labelbuddy

Open source. It is completely free and always will be.
Easy to install on Linux, Windows or MacOS. You can also download and run labelbuddy without installing it. No accounts, configuration, or containers — start labelling right away!
Sequence labelling with predefined labels or free-form annotations. A simple interface and keyboard shortcuts help annotate documents quickly.
Simple file formats to import your data from. Choose between JSON, JSONLines or plain text. Export your annotations to these same formats.
Native application — not a web application running on a server. An annotation database is a single ordinary file. Data can be imported and exported with a command-line interface.