OCRBench v2
A large-scale bilingual (English/Chinese) text-centric benchmark of ~10,000 human-verified QA pairs across 31 scenarios that evaluates large multimodal models on visual text localization, recognition, parsing, and reasoning.
What this benchmark measures
A large-scale bilingual (English/Chinese) text-centric benchmark of ~10,000 human-verified QA pairs across 31 scenarios that evaluates large multimodal models on visual text localization, recognition, parsing, and reasoning.
Rows on this page are sourced from public benchmark artifacts, leaderboard exports, or source-linked model reports. Each row keeps benchmark version, source model name, and available run details attached to the score.
The metric shown here is accuracy. It should be interpreted within OCRBench v2, not compared as part of a site-wide ranking.