What you’re describing is a typical use case for industrial OCR systems, which are specifically designed to handle variable, imperfect and real-world text environments like warehouses and logistics operations. Unlike generic OCR tools, industrial OCR is engineered to recognize text even when fonts vary, prints are faded, or images are captured on the production line, and integrates with workflows or databases so extracted data can be pushed directly into your back-end systems. You can explore the capabilities of industrial-grade OCR — including adaptive recognition, label and form handling, and scalable processing — here:
https://ocrstudio.ai/industrial-ocr/ . These systems can save countless hours of manual data entry and significantly improve accuracy without requiring perfect scans.