Open-weights vision language model from Baidu for fast OCR and document analysis, shown highlighting a PDF. The model is about 6.5 GB and was released a couple of days earlier.
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.
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.
- 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
As seen on YouTube
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
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