Lot code reading: Datasets & Models
Automatically read and verify lot codes, batch numbers, and date stamps printed on product packaging using computer vision OCR. Turns camera images of labels into structured, machine-readable text for traceability.
Lot code reading
This workflow performs lot code detection and OCR on images of product packaging, locating printed or etched lot codes, batch numbers, and date stamps on cartons, bottles, and labels. It takes camera or scanner images as input and returns the recognized codes as structured text your systems can validate for traceability and quality control.
Try it out
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Why automate lot code reading
Manual lot code verification is slow, error-prone, and hard to sustain at line speed, operators squinting at fuzzy inkjet prints or misread date stamps directly cause mislabeled shipments, failed audits, and costly recalls. Automating lot code detection with an OCR model catches unreadable, missing, or incorrect codes in real time, before pallets leave the dock. For manufacturing and QC teams, that means consistent traceability enforcement without adding headcount or slowing throughput. It also creates a searchable digital record of every code read, which simplifies compliance reporting and root-cause analysis.
Key benefits
Teams gain reliable, high-speed lot code reading that runs on existing line cameras and inspection hardware, reducing labeling defects and rework. The OCR model handles variable print quality, fonts, and substrates, and scales across multiple lines or facilities without retraining from scratch. Results integrate with MES, ERP, and quality databases so verification and traceability happen automatically.
How to use it
- Upload an image: Drop any photo into the widget above to try lot code reading for free, right on this page.
- Preview instant results: The model detects lot code, date stamp, batch number, product label, barcode within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
- Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train OCR / document model on your own images for production accuracy.
- Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.
Recommended model for lot code reading
When you're ready to build a production model for lot code reading, we recommend training OCR / document model. Unlike the ready-to-use model in the demo above, you fine-tune it on your own labeled images for higher accuracy, then deploy to a Serverless Cloud API endpoint.
Not sure where to start?
Describe your Lot Code Reading project to Roboflow Agent.