Author criticizes OmniParseBench OCR leaderboards for flawed metrics

The author examines the pitfalls of public OCR benchmarks, arguing that many popular leaderboards rely on flawed metrics, model-biased ground truths, and formatting rules that penalize correct readings. To accurately evaluate OCR for specific production pipelines, the author recommends building a customized evaluation using targeted unit tests, strict metrics, and rigorous error analysis. Open article →