# Baidu Wenxin Open-Sources End-to-End Document Parsing Model Unlimited OCR 2

- Category: Flash (快讯)
- Published: 2026-10-28T11:56:00.000Z
- Source date: 2026-10-28
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Baidu Wenxin has released and open-sourced Unlimited OCR 2, an end-to-end document parsing model capable of continuously recognizing documents exceeding 3,600 pages. Its core SR-SWA attention mechanism, combined with chunked decoding, reduces peak KV cache for hundred-page tests by approximately 96% and increases 16-way concurrent throughput by 3.65 times.

## At a glance

- Unlimited OCR 2 supports continuous recognition of 3,600+ page documents and is open-source
- SR-SWA mechanism reduces KV cache by ~96% and boosts concurrent throughput by 3.65x

## The update

Baidu Wenxin has officially launched and open-sourced Unlimited OCR 2, an end-to-end document parsing model. This model is capable of handling ultra-long documents, continuously recognizing the entire Harry Potter series which contains over 3,600 pages. Technically, Unlimited OCR 2 employs a core SR-SWA attention mechanism that simulates human transcription behavior by filtering relevant pages and information blocks on demand. Combined with a chunked decoding mechanism, the model significantly optimizes resource efficiency. In hundred-page tests, its peak KV cache dropped substantially from 47GB to 1.77GB, a reduction of approximately 96%. Additionally, the system's 16-way concurrent throughput increased to 3.65 times its previous level.

## Sources

- [量子位](https://mp.weixin.qq.com/s/3UdLpbh6iXwlQMitklHVTw) (2026-10-28)

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