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Baidu's open-weights vision-language OCR model for parsing very long, multi-page documents.

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Unlimited OCR at a glance

What is Unlimited OCR?
Unlimited OCR is a model from Baidu. Baidu's open-weights vision-language OCR model for parsing very long, multi-page documents.
Who makes Unlimited OCR?
Unlimited OCR is made by Baidu.
Does Unlimited OCR work in the EU?
Available in the EU. Open weights are downloadable from Hugging Face and ModelScope and can be self-hosted anywhere, and no EU restriction appears in the provided material. The license text was not seen, so this is not confirmed. Last verified 14 Nov 2026.
How much does Unlimited OCR cost?
Open source. Weights downloadable for free. Also offered through Baidu Cloud OCR; pricing there was not provided.
Where was Unlimited OCR shown?
In 1 creator video by Matthew Berman. Most recently by Matthew Berman on 24 Jun 2026, at 10:11 in “You NEED to try these 12 open-source AI projects RIGHT NOW”.

Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.

About

Unlimited OCR is a document-parsing vision-language model from Baidu, positioned as a follow-up to DeepSeek-OCR. The first version was released in June 2026. Unlimited OCR 2, released on 2026-10-27, adds Sparse Reference Sliding Window Attention (SR-SWA). SR-SWA compresses text-visual attention to a fixed-size set of working references (e.g. 512 tokens), so per-step decoding latency and memory stay nearly constant as documents grow.

The model supports single-page parsing with dynamic tiling and multi-page parsing, where all pages are passed in one request so the model can use cross-page context. Baidu reports state-of-the-art results on MPDocBench and on its own MarathonDocBench, a benchmark for hundred-page documents. These are vendor claims.

It runs with Hugging Face Transformers for quick tests, or with a customized SGLang build recommended for serving. vLLM support was added for version 1, and ms-swift supports training. The README tests on an NVIDIA A800-80GB. It is also listed on ModelScope and Baidu Cloud, with a Hugging Face Spaces demo. A YouTube reviewer described the weights as about 6.5 GB. The license was not stated in the provided material.

Key features
  • Parses multi-page documents in a single request with cross-page context
  • SR-SWA keeps decoding latency and memory near constant for long documents
  • Single-page mode with dynamic tiling (gundam mode)
  • Inference via Transformers, SGLang and vLLM (v1); training via ms-swift
  • Page-window scheduling for very long documents in SGLang
  • Companion MarathonDocBench benchmark for ultra-long document parsing
1 moment

As seen on YouTube

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