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README.md

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### Introduction
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- Video hard subtitle extraction, automatically generate the corresponding `srt | ass | txt` file.
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- Supported subtitle languages: Chinese | English (For other supported languages, see: [List of supported languages](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.1/doc/doc_ch/multi_languages.md#%E8%AF%AD%E7%A7%8D%E7%BC%A9%E5%86%99))
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- The advantages are as follows:
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- **Faster extraction**: Used in conjunction with [VideoSubFinder](https://sourceforge.net/projects/videosubfinder/) software to extract key subtitle frames faster.
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- **More accurate recognition**: Use [RapidOCR](https://github.com/RapidAI/RapidOCR) as the recognition library.
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- **More convenient to use**: pip can be installed directly and used.
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`rapid_videocr` is a tool designed for the automatic extraction of hard subtitles from videos and generates corresponding `srt | ass | txt` files.
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- For desktop EXE version, please go to [RapidVideOCRDesktop](https://github.com/SWHL/RapidVideOCRDesktop).
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- If it helps you, please give a star ⭐.
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Supported subtitle languages: [List of Supported Languages](https://rapidai.github.io/RapidOCRDocs/main/model_list/#_4). Since this tool relies on the `rapidocr` library, any language supported by `rapidocr` for recognition is also supported by `rapid_videocr`.
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Its advantages include:
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- **Faster Extraction**: When used in conjunction with the [VideoSubFinder](https://sourceforge.net/projects/videosubfinder/) software, it can extract key subtitle frames more quickly.
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- **More Accurate Recognition**: It utilizes [RapidOCR](https://github.com/RapidAI/RapidOCR) as its recognition library.
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- **Easier to Use**: It can be installed directly via pip and is ready to use.
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For the desktop EXE version, please visit [RapidVideOCRDesktop](https://github.com/SWHL/RapidVideOCRDesktop).
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If this tool has been helpful to you, please give it a star ⭐.
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### [Online Demo](https://huggingface.co/spaces/SWHL/RapidVideOCR)
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<div align="center">
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<img src="https://github.com/SWHL/RapidVideOCR/releases/download/v2.0.1/OnlineDemo.gif" alt="Demo" width="100%" height="100%">
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<img src="https://github.com/SWHL/RapidVideOCR/releases/download/v2.0.1/OnlineDemo.gif" alt="Demo" width="60%" height="60%">
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</div>
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### Overall framework
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### Documentation
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Full documentation can be found on [docs](https://swhl.github.io/RapidVideOCR), in Chinese.
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Full documentation can be found on [docs](https://swhl.github.io/RapidVideOCR) in Chinese.
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### Code Contributors
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docs/README_zh.md

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### 简介
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- 视频硬字幕提取,自动生成对应`srt | ass | txt`文件。
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- 支持字幕语言:中文 | 英文 (其他可以支持的语言参见:[支持语种列表](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.1/doc/doc_ch/multi_languages.md#%E8%AF%AD%E7%A7%8D%E7%BC%A9%E5%86%99))
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- 优势如下:
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- **提取更快**:与[VideoSubFinder](https://sourceforge.net/projects/videosubfinder/)软件结合使用,提取关键字幕帧更快。
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- **识别更准**:采用[RapidOCR](https://github.com/RapidAI/RapidOCR)作为识别库。
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- **使用更方便**:pip直接安装即可使用。
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`rapid_videocr`是一个自动视频硬字幕提取,生成对应`srt | ass | txt`文件的工具。
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- 桌面EXE版,请移步[RapidVideOCRDesktop](https://github.com/SWHL/RapidVideOCRDesktop)
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- 如果有帮助到您的话,请给个小星星⭐。
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支持字幕语言:[支持语种列表](https://rapidai.github.io/RapidOCRDocs/main/model_list/#_4),因为该工具依赖`rapidocr`库,因此`rapidocr`支持识别的语言,`rapid_videocr`均是支持的。
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优势如下:
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- **提取更快**:与[VideoSubFinder](https://sourceforge.net/projects/videosubfinder/)软件结合使用,提取关键字幕帧更快。
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- **识别更准**:采用[RapidOCR](https://github.com/RapidAI/RapidOCR)作为识别库。
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- **使用更方便**:pip直接安装即可使用。
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桌面EXE版,请移步[RapidVideOCRDesktop](https://github.com/SWHL/RapidVideOCRDesktop)
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如果有帮助到您的话,请给个小星星⭐。
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### [在线Demo](https://www.modelscope.cn/studios/liekkas/RapidVideOCR/summary)
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<div align="center">
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<img src="https://github.com/SWHL/RapidVideOCR/releases/download/v2.0.1/OnlineDemo.gif" alt="Demo" width="100%" height="100%">
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<img src="https://github.com/SWHL/RapidVideOCR/releases/download/v2.0.1/OnlineDemo.gif" alt="Demo" width="60%" height="60%">
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</div>
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### 整体框架
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请确保适当更新测试。
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### 加入我们
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### 加入社区
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- 微信扫描以下二维码,关注 **RapidAI公众号**,回复video即可加入RapidVideOCR微信交流群:
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<div align="center">
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<img src="https://raw.githubusercontent.com/RapidAI/.github/main/assets/RapidAI_WeChatAccount_round_corner.png" width="25%" height="25%" align="center">
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</div>
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微信扫描以下二维码,关注 **RapidAI公众号**,回复video即可加入RapidVideOCR微信交流群:
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<div align="left">
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<img src="https://raw.githubusercontent.com/RapidAI/.github/main/assets/RapidAI_WeChatAccount_round_corner.png" width="20%" height="20%" align="center">
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</div>
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- 扫码加入QQ群(706807542):
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<div align="center">
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<img src="https://github.com/SWHL/RapidVideOCR/releases/download/v2.0.1/QQGroup.png" width="25%" height="25%" align="center">
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</div>
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扫码加入QQ群(706807542):
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<div align="left">
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<img src="https://github.com/SWHL/RapidVideOCR/releases/download/v2.0.1/QQGroup.png" width="20%" height="20%" align="center">
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</div>
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### [赞助](https://swhl.github.io/RapidVideOCR/docs/sponsor/)
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docs/index.en.md

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### [Online Demo](https://huggingface.co/spaces/SWHL/RapidVideOCR)
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<div align="center">
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<img src="https://github.com/SWHL/RapidVideOCR/releases/download/v2.0.1/OnlineDemo.gif" alt="Demo" width="100%" height="100%">
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<img src="https://github.com/SWHL/RapidVideOCR/releases/download/v2.0.1/OnlineDemo.gif" alt="Demo" width="60%" height="60%">
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</div>

docs/index.md

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### 简介
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- 视频硬字幕提取,自动生成对应`srt | ass | txt`文件。
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- 支持字幕语言:中文 | 英文 (其他可以支持的语言参见:[支持语种列表](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.1/doc/doc_ch/multi_languages.md#%E8%AF%AD%E7%A7%8D%E7%BC%A9%E5%86%99))
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- 优势如下:
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- **提取更快**:与[VideoSubFinder](https://sourceforge.net/projects/videosubfinder/)软件结合使用,提取关键字幕帧更快。
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- **识别更准**:采用[RapidOCR](https://github.com/RapidAI/RapidOCR)作为识别库。
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- **使用更方便**:pip直接安装即可使用。
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- 如果有帮助到您的话,请给个小星星⭐。
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`rapid_videocr`是一个自动视频硬字幕提取,生成对应`srt | ass | txt`文件的工具。
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支持字幕语言:[支持语种列表](https://rapidai.github.io/RapidOCRDocs/main/model_list/#_4),因为该工具依赖`rapidocr`库,因此`rapidocr`支持识别的语言,`rapid_videocr`均是支持的。
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优势如下:
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- **提取更快**:与[VideoSubFinder](https://sourceforge.net/projects/videosubfinder/)软件结合使用,提取关键字幕帧更快。
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- **识别更准**:采用[RapidOCR](https://github.com/RapidAI/RapidOCR)作为识别库。
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- **使用更方便**:pip直接安装即可使用。
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如果有帮助到您的话,请给个小星星⭐。
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### 整体框架
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### [在线Demo](https://huggingface.co/spaces/SWHL/RapidVideOCR)
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<div align="center">
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<img src="https://github.com/SWHL/RapidVideOCR/releases/download/v2.0.1/OnlineDemo.gif" alt="Demo" width="100%" height="100%">
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<img src="https://github.com/SWHL/RapidVideOCR/releases/download/v2.0.1/OnlineDemo.gif" alt="Demo" width="60%" height="60%">
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</div>

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