Labelbox users now have the capability to upload and annotate documents and conversational text to train language models tailored to specific business needs, with enhancements made to the video editor and data review processes. The platform supports native upload and annotation of PDFs for tasks like Named Entity Recognition (NER) and Optical Character Recognition (OCR), which are crucial in industries such as financial services and healthcare. Users can annotate conversational texts to understand user intent and sentiment, leveraging natural language processing advancements. Labelbox also introduced a cuboid tool to capture 3D space in images, enhancing the ability to annotate dimensions and orientations. The video editor now features improvements like click-and-drag classification and beta bounding box tracking to streamline video labeling. Additionally, a new batch-based queueing system has been implemented to optimize data labeling and review workflows, enabling users to manage data rows more effectively. This rollout, initially available to Free, Education, and Starter users, began reaching Pro and Enterprise customers in December 2023, with a migration path for older projects planned for Q1 2023.