Logistics / Project story
Barcodes into organised records.
A desktop tool for reading barcodes from document images and PDFs, with a separate review path for unrecognised codes.
The challenge
Capture, categorise and review.
Barcode information needed to be collected and categorised without scanning each source individually.
PyZbar · OpenCV · PyQt5
The approach
How the workflow comes together.
- 01
Prepare the pages
Convert PDFs and preprocess document images.
- 02
Read and categorise
Detect supported QR, Code128 and EAN codes and organise recognised values.
- 03
Review exceptions
Keep unrecognised codes in a review table and export CSV records.
Project scope
Built for the task.
This story describes an individual project. Scope and results depend on the inputs, environment and requirements of each implementation.
- Image and PDF intake
- Barcode detection
- Exception review table
- CSV export
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