BizOnAI-OCR
A Korean-optimized OCR model for industrial document processing developed by ONTHEIT.
Built on Qwen3-VL-8B, BizOnAI-OCR is tuned for real-world Korean documents — contracts, medical records, financial forms, government paperwork, and more. It handles Korean-specific layouts, mixed Korean/English/Chinese text, decorative spacing, vertical tables, and complex forms that trip up general-purpose OCR models.
Highlights
- Korean-first: fine-tuned on Korean industrial documents
- Bilingual: remains competitive on English OCR benchmarks
- Markdown output: structured output with tables, headings, and formatting preserved
- vLLM-ready: served efficiently via vLLM (OpenAI-compatible API) or plain
transformers
Benchmark Results
KDoc-OCRBench (Korean)
Evaluated on KDoc-OCRBench — 14,738 unit-test-style assertions across 804 Korean industrial PDFs.
| Model | Baseline | Header/Footer | Long Text | Table | Overall |
|---|---|---|---|---|---|
| BizOnAI-OCR | 98.1 | 88.8 | 77.0 | 68.0 | 83.0 |
| olmOCR v0.2.0 | 99.9 | 88.5 | 73.7 | 53.4 | 78.9 |
| PaddleOCR-VL | 100.0 | 90.5 | 65.7 | 57.6 | 78.4 |
| DeepSeek OCR | 99.8 | 88.3 | 66.0 | 53.1 | 76.8 |
| GLM OCR | 99.9 | 96.3 | 41.8 | 31.0 | 67.2 |
olmOCR-bench (English)
Evaluated on olmOCR-bench by Allen AI.
| Model | ArXiv | Old Scans Math | Tables | Old Scans | Headers & Footers | Multi Column | Long Tiny Text | Base | Overall |
|---|---|---|---|---|---|---|---|---|---|
| BizOnAI-OCR | 84.0 | 74.2 | 89.7 | 47.3 | 92.4 | 80.2 | 92.5 | 98.7 | 82.4 |
| PaddleOCR-VL | 85.7 | 71.0 | 84.1 | 37.8 | 97.0 | 79.9 | 85.7 | 98.5 | 80.0 |
| olmOCR v0.2.0 | 78.8 | 77.5 | 71.9 | 45.4 | 94.2 | 78.6 | 81.4 | 99.8 | 78.5 |
| DeepSeek OCR | 77.2 | 73.6 | 80.2 | 33.3 | 96.1 | 66.4 | 79.4 | 99.8 | 75.7 |
Quick Start
Full installation instructions, CLI tools, and the benchmark pipeline are in the GitHub repository.
Serve with vLLM (recommended)
python -m vllm.entrypoints.openai.api_server \
--model ONTHEIT/BizOnAI-OCR \
--port 8000 \
--dtype bfloat16 \
--max-model-len 16384 \
--trust-remote-code \
--served-model-name bizonai-ocr
Python CLI
git clone https://github.com/ONTHEIT-AI/BizOnAI-OCR.git
cd BizOnAI-OCR && uv venv && source .venv/bin/activate
uv pip install -e .
bizonai-ocr input.pdf ./output
Tested Environment
Python 3.12, vllm==0.11.0, transformers==4.57.6, torch==2.8.0+cu128 (CUDA 12.8)
Credits
- Qwen3-VL by Alibaba
- olmocr by Allen AI
- olmOCR-bench by Allen AI
- vLLM
License
This repository is released under the Apache2.0 and OpenRAIL. See the LICENSE file for details.