Correct to Select: Choosing OCR Without Ground Truth
TL;DR for operators A team has a new collection of forms, receipts, exam papers, or clinical notes and must choose an OCR engine before paying to transcribe the collection. A fixed benchmark winner is not enough: in the paper’s evaluation, no single OCR engine consistently leads across datasets and languages. That creates a practical sequencing problem. The best engine depends on the documents, but directly measuring which engine is best normally requires the ground-truth labels the team is trying to avoid creating before selection. ...