feat(README): update changelog for version 1.3.0 release

- Installation and compatibility optimizations:
- Replace PaddleOCR with paddleocr2torch to resolve conflicts between Paddle and PyTorch
  - Remove layoutlmv3 usage to solve compatibility issues with detectron2
  - Extend PyTorch version compatibility to2.2~2.6  - Extend CUDA compatibility to 11.8~12.6
  - Extend Python version compatibility to 3.10~3.12

- Performance optimizations:
 - Support batch processing for multiple PDF files
  - Optimize mfr model loading and usage to reduce memory consumption and improve speed
  - Reduce minimum memory requirement to 6GB
  - Improve running speed on MPS devices

- Parsing effect optimization:
  - Update mfr model to unimernet(2503) to fix line break issues in multi-line formulas

README.md

@@ -47,6 +47,20 @@ Easier to use: Just grab MinerU Desktop. No coding, no login, just a simple inte
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 # Changelog
+- 2025/04/03 Release of version 1.3.0, with many changes in this version:
+  - Installation and compatibility optimization
+    - By using paddleocr2torch, completely replaced the paddle framework and paddleocr used in the project, resolving conflicts between paddle and torch (OCR speed under single-process is slightly slower compared to the paddle framework).
+    - Removed the use of layoutlmv3 in layout, solving compatibility issues caused by `detectron2`.
+    - Extended torch version compatibility to 2.2~2.6.
+    - CUDA compatibility extended to 11.8~12.6 (CUDA version determined by torch), addressing compatibility issues for some users with 50-series and H-series GPUs.
+    - Python compatible versions extended to 3.10~3.12, resolving the issue of automatic downgrade to 0.6.1 during installation in non-3.10 environments.
+  - Performance optimization (compared to version 1.0.1, formula parsing speed improved by over 1400%, and overall parsing speed improved by over 500%)
+    - Supported batch processing for multiple PDF files, enhancing the parsing speed of batch files.
+    - Optimized the loading and usage of the mfr model, reducing memory usage and improving parsing speed.
+    - Optimized memory usage, allowing the project to run with as little as 6GB.
+    - Improved running speed on mps devices.
+  - Parsing effect optimization
+    - Updated the mfr model to unimernet(2503), solving the issue of missing line breaks in multi-line formulas.
 - 2025/03/03 1.2.1 released, fixed several bugs:
   - Fixed the impact on punctuation marks during full-width to half-width conversion of letters and numbers
   - Fixed caption matching inaccuracies in certain scenarios

README_zh-CN.md

@@ -46,6 +46,20 @@
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 # 更新记录
+- 2025/04/03 1.3.0 发布，在这个版本我们做出了许多改变：
+  - 安装与兼容性优化
+    - 通过使用paddleocr2torch，完全替代了paddle框架以及paddleocr在项目中的使用，解决了paddle和torch的冲突问题（单进程下ocr速度相比paddle框架略有小幅下降）
+    - 通过移除layout中layoutlmv3的使用，解决了由`detectron2`导致的兼容问题
+    - torch版本兼容扩展到2.2~2.6
+    - cuda兼容扩展到11.8~12.6（cuda版本由torch决定），解决部分用户50系显卡与H系显卡的兼容问题
+    - python兼容版本扩展到3.10~3.12，解决了在非3.10环境下安装时自动降级到0.6.1的问题
+  - 性能优化（与1.0.1版本相比，公式解析速度最高提升超过1400%，整体解析速度提升超过500%）
+    - 通过支持多个pdf文件的batch，提升了批量文件的解析速度 
+    - 通过优化mfr模型的加载和使用，降低了显存占用并提升了解析速度
+    - 优化显存占用，最低仅需6GB即可运行本项目
+    - 优化了在mps设备上的运行速度
+  - 解析效果优化
+    - mfr模型更新到unimernet(2503)，解决多行公式中换行丢失的问题
 - 2025/03/03 1.2.1 发布，修复了一些问题：
   - 修复在字母与数字的全角转半角操作时对标点符号的影响
   - 修复在某些情况下caption的匹配不准确问题