# ThaiOCRBench: A Task-Diverse Benchmark for Vision-Language Understanding in Thai
**ThaiOCRBench** is the first comprehensive benchmark for evaluating vision-language models (VLMs) on Thai text-rich visual understanding tasks.
Inspired by OCRBench v2, it contains **2,808 human-annotated samples** across **13 diverse tasks**, including table parsing, chart understanding, full-page OCR, key information extraction, and visual question answering.
The benchmark enables standardized zero-shot evaluation for both proprietary and open-source models, revealing significant performance gaps and paving the way for document understanding in low-resource languages.
🚀 **Our paper _ThaiOCRBench_ has been accepted to the IJCNLP-AACL 2025 Main Conference!**
## 📊 Dataset Statistics
| Task Type | Number of Samples |
|-------------------------------|-------------------|
| Text Recognition | 333 |
| Table Parsing | 193 …
