Unlimited OCR: One-Shot Long-Horizon Parsing

2026-06-23 | original

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Why This Matters

Unlimited OCR introduces a groundbreaking one-shot long-horizon parsing model that significantly enhances the ability to process complex, multi-page documents and images efficiently. Its deployment on popular frameworks like Huggingface and compatibility with NVIDIA GPUs makes it accessible for a wide range of applications, promising to advance document analysis and automation in the tech industry.

Key Takeaways

Supports multi-page and PDF parsing with high accuracy and efficiency.
Built on transformer architecture, optimized for NVIDIA GPUs and popular AI frameworks.
Available on ModelScope, enabling easy integration into existing workflows.

Unlimited OCR Works

Welcome the Era of One-shot Long-horizon Parsing.

Release

[2026/06/23] 📄 Our paper is now available on arXiv.

[2026/06/23] 🤝 Thanks to the ModelScope community for their support. Our model is now available at ModelScope.

[2026/06/22] 🚀 We present Unlimited-OCR, aiming to push Deepseek-OCR one step further.

Inference

Transformers

Inference using Huggingface transformers on NVIDIA GPUs. Requirements tested on python 3.12.3 + CUDA12.9：

torch==2.10.0 torchvision==0.25.0 transformers==4.57.1 Pillow==12.1.1 matplotlib==3.10.8 einops==0.8.2 addict==2.4.0 easydict==1.13 pymupdf==1.27.2.2 psutil==7.2.2

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Explore topics: unlimited-ocr modelscope huggingface nvidia baidu