TokLabel (Tokamak Label Suite) is an open-source fusion data labeling platform co-developed by Startorus Fusion and Tsinghua University, built on the open-source Label Studio and released under the Apache 2.0 license. Fusion AI researchers spend roughly 70% of their time on data preparation, and TokLabel targets exactly this stage.It turns raw discharge data into labeled datasets ready for fusion AI. Researchers simply input a shot number to automatically retrieve data and generate labeling tasks — labeling feature moments such as breakdown, disruption, and end on one-dimensional time series, and configuration information such as the last closed flux surface on two-dimensional visible-light images. Labeling results are stored by shot number and directly consumed by downstream model training such as disruption prediction, discharge feature recognition, and configuration recognition, saving roughly 70% of data-preparation time.