Benchmark category
Image To Text evaluations, model coverage and rankings. Each benchmark keeps its original scale and methodology.
Data as of 2026-08-11
Select a benchmark to inspect model results, evidence fields and scoring direction.
| DocVQA | DocVQA | multimodal | Score | 26 | featured | B | Yes |
| OCRBench | OCRBench | multimodal | Score | 22 | featured | B | Yes |
| TextVQA | TextVQA | multimodal | Score | 15 | featured | B | Yes |
| SimpleVQA | SimpleVQA | multimodal | Score | 13 | featured | B | Yes |
| OCRBench-V2 (en) | OCRBench-V2 (en) | multimodal | Score | 12 | featured | B | Yes |
| OCRBench-V2 (zh) | OCRBench-V2 (zh) | multimodal | Score | 11 | featured | B | Yes |
Leading results from high-coverage benchmarks with at least two models.
How this category is assembled on llmboard.ai.
This page groups benchmarks whose primary or display category matches image to text. It does not average incompatible metrics into a new category score.
Open an individual benchmark to inspect score direction, evidence level, participant count and model results.
Benchmarks are grouped by their primary and display categories.