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@@ -583,7 +583,7 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
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- Automatically recognize and convert formulas in the document to LaTeX format.
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- Automatically recognize and convert tables in the document to HTML format.
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- Automatically detect scanned PDFs and garbled PDFs and enable OCR functionality.
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-- OCR supports detection and recognition of 84 languages.
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+- OCR supports detection and recognition of 109 languages.
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- Supports multiple output formats, such as multimodal and NLP Markdown, JSON sorted by reading order, and rich intermediate formats.
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- Supports various visualization results, including layout visualization and span visualization, for efficient confirmation of output quality.
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- Supports running in a pure CPU environment, and also supports GPU(CUDA)/NPU(CANN)/MPS acceleration
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@@ -680,9 +680,9 @@ A WebUI developed based on Gradio, with a simple interface and only core parsing
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<sup>1</sup> Accuracy metric is the End-to-End Evaluation Overall score of OmniDocBench (v1.5), tested on the latest `MinerU` version.
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<sup>2</sup> Linux supports only distributions released in 2019 or later.
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-<sup>3</sup> MLX requires macOS 13.5 or later.
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-<sup>4</sup> Windows vLLM support via WSL2.
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-<sup>5</sup> Servers compatible with the OpenAI API, such as `vLLM`/`SGLang`/`LMDeploy`, etc.
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+<sup>3</sup> MLX requires macOS 13.5 or later, recommended for use with version 14.0 or higher.
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+<sup>4</sup> Windows vLLM support via WSL2(Windows Subsystem for Linux).
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+<sup>5</sup> Servers compatible with the OpenAI API, such as local or remote model services deployed via inference frameworks like `vLLM`, `SGLang`, or `LMDeploy`.
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### Install MinerU
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myhloli