From d9ea2a41084408cf055ce56e5b8c3ceb14517e73 Mon Sep 17 00:00:00 2001 From: zhangwei13 Date: Fri, 20 Mar 2026 01:15:46 +0800 Subject: [PATCH] update readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e8bdcc3..592774e 100755 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ dots.ocr **dots.ocr** Designed for universal accessibility, it possesses the capability to recognize virtually any human script. Beyond achieving state-of-the-art (SOTA) performance in standard multilingual document parsing among models of comparable size, dots.ocr-1.5 excels at converting structured graphics (e.g., charts and diagrams) directly into SVG code, parsing web screens and spotting scene text. ## News -* ```2026.2.16 ``` 🚀 We release [dots.ocr-1.5](https://huggingface.co/rednote-hilab/dots.ocr-1.5), designed to recognize all human scripts and symbols. This model extends beyond standard document parsing to include comprehensive image parsing. We are simultaneously releasing [dots.ocr-1.5-svg](https://huggingface.co/rednote-hilab/dots.ocr-1.5-svg), which offers more robust performance for image parsing tasks. +* ```2026.03.19 ``` We have rebranded `dots.ocr-1.5` as [dots.mocr](https://github.com/rednote-hilab/dots.mocr). For technical details, please refer to our [paper](https://arxiv.org/abs/2603.13032v1). The model weights are available on Hugging Face: [dots.mocr](https://huggingface.co/rednote-hilab/dots.mocr) and [dots.mocr-svg](https://huggingface.co/rednote-hilab/dots.mocr-svg). * ```2025.10.31 ``` 🚀 We release [dots.ocr.base](https://huggingface.co/rednote-hilab/dots.ocr.base), foundation VLM focus on OCR tasks, also the base model of [dots.ocr](https://huggingface.co/rednote-hilab/dots.ocr). Try it out! * ```2025.07.30 ``` 🚀 We release [dots.ocr](https://huggingface.co/rednote-hilab/dots.ocr), — a multilingual documents parsing model based on 1.7b llm, with SOTA performance.