Updated daily at 05:00 UTC
Benchmarks
OCR & documents
Reading text, tables, formulas and layout from scanned or born-digital documents and turning them into structured output.
How the score works
A model's score is built only from results that someone other than its maker ran.
- The scoring set is the benchmarks chosen for this specialty. A benchmark takes part only when at least 5 models have an independent or third-party result on it.
- Each result is rescaled to 0 to 1, and a model's best setting counts.
- The score is the average over the benchmarks a model has, times 100.
- A model ranks only when it has results on enough of them. The rest show "Not enough independent results yet".
- Self-reported results are shown but never counted.
Method: category-2026-09-29.1
Scoring set and effective set
Scoring set: GDP.pdf, OCRBench v2, olmOCR-Bench.
Effective set (used for the score today): none yet.
- GDP.pdf: no importable independent results yet
- OCRBench v2: no importable independent results yet
- olmOCR-Bench: no importable independent results yet
All benchmarks
- DocVQAActiveSaturated0 results
- GDP.pdfActiveHeadroomCounts toward the score0 results
- IDP Leaderboard (Intelligent Document Processing)ActiveHeadroom0 results
- OCRBench v2ActiveHeadroomCounts toward the score0 results
- OmniDocBenchActiveSaturated0 results
- olmOCR-BenchActiveHeadroomCounts toward the score0 results