Shipping Label Extraction with Qwen 3.5 VL in Roboflow Workflows
Blog post from Roboflow
Global shipping operations face significant financial losses due to inefficiencies in documentation, with manual data entry errors in shipping labels being a major contributing factor. To address this, Roboflow has integrated the Qwen 3.5 VL block into its Workflows, leveraging advanced optical character recognition (OCR) across 39 languages to streamline the extraction of data from international shipping labels. This process transforms label images into structured JSON data, ready for integration into warehouse operations, and is built using a visual interface that allows for easy deployment on local GPU-based systems. The workflow involves a two-stage process: initially using a pretrained object detection model to locate labels, followed by the Qwen 3.5 VL to extract detailed information from cropped images. This system is adaptable to changing business needs through prompt updates, eliminating the need for model retraining and offering a scalable, efficient solution for shipping label data extraction.