OCR Label Verification


In manufacturing, warehousing, and logistics operations, reducing manual checks, increasing first-pass yields, and maintaining traceability are key. Frequent label changes and poor print quality can make traditional optical character recognition (OCR) projects time-consuming to set up and maintain, and often with variable results. Teams must spend significant engineering time training font recognition patterns to prevent exceptions from stacking up at inspection points, risking rework and compliance issues. Deep learning-based OCR simplifies setup with pre-trained models that read a wide range of fonts, sizes, and low-contrast text out of the box.

Zebra VS40 scanning print and applying labels in manufacturing

Verify labels faster with deep learning-based OCR that reads variable fonts and low‑contrast text, and ties results into your existing workflows

Deploy deep learning-based OCR for label recognition

Aurora Focus software delivers a deep learning-based OCR tool that provides accurate results out of the box with no lengthy training required. Pre-trained on thousands of fonts, Deep learning-based OCR enables rapid setup in minutes via an intuitive, drag-and-drop workflow. The algorithm adjusts for changing fonts, variable backgrounds, and low-contrast print to output characters even in scenarios too challenging for conventional tools. This makes it ideal for manufacturing, packaging lines and warehouse/logistics label checks where products, SKUs, and compliance text change frequently.

VS40 Scanning Labels on a Pharmaceutical packing production line conveyer

Integrate OCR into your workflow

Use Zebra smart cameras and industrial scanners to run deep learning-based OCR directly on the devices, allowing them to quickly and reliably capture high-quality images and process text in real time, even on fast-moving production lines. Choose compact fixed scanners for an all-in-one traceability solution across machine-readable codes and human-readable text. Or deploy flexible smart cameras when you need OCR alongside simple inspection or assembly verification tools. Devices output data strings and pass/fail signals, which are transmitted via digital I/O or industrial Ethernet. These signals are sent to PLCs (Programmable Logic Controllers) or back-end systems for easy integration. This enables smooth operation within manufacturing inspection cells and warehouse/logistics workflows, including receiving, putaway, and shipping compliance checks.

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