Pdf Labeler is a web-based document annotation and labeling platform designed to manage the full workflow around preparing structured training data. It allows users to upload and organize files, manage datasets, suppliers, metadata, and review processes, then annotate PDF documents through a dedicated labeler editor.

Its feature-rich editor provides an interactive PDF workspace where users can inspect document pages, create and adjust labeled regions, assign semantic labels, manage page-level and box-level annotations, and review extracted or manually entered data. These annotations capture meaningful document structure and labeled data points, which can later be exported or used as high-quality training data for machine learning models.