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视频音频生成字幕，生成srt文件。无需申请第三方API，本地实现音频转文本。基于Transformer的视频字幕生成框架。A GUI tool for generating subtitle from videos and generating srt files.
| Date | Stars |
|---|---|
| 2026-07-24 | 1168 |
| 2026-07-25 | 1168 |
| 2026-07-28 | 1169 |
| 2026-07-30 | 1169 |
| 2026-08-06 | 1169 |
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### 项目介绍
Video-subtitle-generator (vsg) 是一款基于语音识别，将音频/视频生成外挂字幕文件(srt格式)的软件。
- 支持中文、英文、韩文、日文、越南语、俄语、西班牙语、葡萄语等语言的字幕生成
<img src="https://github.com/YaoFANGUK/video-subtitle-generator/blob/main/design/gui.png?raw=true" alt="gui" border="1px" >
### DEMO
<img src="https://github.com/YaoFANGUK/video-subtitle-generator/blob/main/design/demo.gif?raw=true" alt="demo">
## 源码使用说明
> 运行要求：需要Nvidia GPU显卡（显存大于1G可使用base模型，大于5G可使用medium模型，大于10G可使用large模型）
#### 1. 下载安装Miniconda
- Windows: <a href="https://repo.anaconda.com/miniconda/Miniconda3-py38_4.11.0-Windows-x86_64.exe">Miniconda3-py38_4.11.0-Windows-x86_64.exe</a>
- MacOS：<a href="https://repo.anaconda.com/miniconda/Miniconda3-py38_4.11.0-MacOSX-x86_64.pkg">Miniconda3-py38_4.11.0-MacOSX-x86_64.pkg</a>
- Linux: <a href="https://repo.anaconda.com/miniconda/Miniconda3-py38_4.11.0-Linux-x86_64.sh">Miniconda3-py38_4.11.0-Linux-x86_64.sh</a>
#### 2. 创建并激活虚机环境
（1）切换到源码所在目录：
```shell
cd <源码所在目录>
```
> 例如：如果你的源代码放在D盘的tools文件下，并且源代码的文件夹名为video-subtitle-generator，就输入 ```cd D:/tools/video-subtitle-generator-main```
（2）创建激活conda环境
```shell
conda create -n vsgEnv python=3.8
```
```shell
conda activate vsgEnv
```
#### 3. 安装依赖文件
请确保你已经安装 python 3.8+，使用conda创建项目虚拟环境并激活环境 (建议创建虚拟环境运行，以免后续出现问题)
安装依赖：
```shell
pip install -r requirements.txt
```
#### 4. 运行程序
- 运行图形化界面版本(GUI)
```SHELL
python gui.py
```
- 运行命令行版本(CLI)
```SHELL
python backend/main.py
```
```SHELL
python backend/main.py -h
-h
usage: main.py [-h]
[-l {auto,en,zh-cn,zh-tw,zh-hk,zh-sg,zh-hans,zh-hant,de,es,ru,ko,fr,ja,pt,tr,pl,ca,nl,ar,sv,it,id,hi,fi,vi,he,uk,el,ms,cs,ro,da,hu,ta,no,th,ur,hr,bg,lt,la,ml,cy,sk,te,fa,lv,bn,sr,az,sl,kn,et,mk,br,eu,is,hy,ne,mn,bs,kk,sq,sw,gl,mr,pa,si,km,sn,yo,so,af,oc,ka,be,tg,sd}]
[filename]
Subtitle Generator
positional arguments:
filename 请输入文件完整路径：
optional arguments:
-h, --help show this help message and exit
-l {auto,en,zh-cn,zh-tw,zh-hk,zh-sg,zh-hans,zh-hant,de,es,ru,ko,fr,ja,pt,tr,pl,ca,nl,ar,sv,it,id,hi,fi,vi,he,uk,el,ms,cs,ro,da,hu,ta,no,th,ur,hr,bg,lt,la,ml,cy,sk,te,fa,lv,bn,sr,az,sl,kn,et,mk,br,eu,is,hy,ne,mn,bs,kk,sq,sw,gl,mr,pa,si,km,sn,yo,so,af,oc,ka,be,tg,sd}, --language {auto,en,zh-cn,zh-tw,zh-hk,zh-sg,zh-hans,zh-hant,de,es,ru,ko,fr,ja,pt,tr,pl,ca,nl,ar,sv,it,id,hi,fi,vi,he,uk,el,ms,cs,ro,da,hu,ta,no,th,ur,hr,bg,lt,la,ml,cy,sk,te,fa,lv,bn,sr,az,sl,kn,et,mk,br,eu,is,hy,ne,mn,bs,kk,sq,sw,gl,mr,pa,si,km,sn,yo,so,af,oc,ka,be,tg,sd}
python backend/main.py test/test_cn.mp4 -l zh-cn
```
- 代码调用：
```shell
# 1.指定音视频文件路径
wav_path = './test/test.flv'
# 2. 新建字幕生成对象，指定语言
sg = SubtitleGenerator(video_path, language='zh-cn')
# 3. 运行字幕生成
ret = sg.run()
```
#### 5. 程序配置
- 设置模型文件
修改settings.ini中的Mode，取值为：base, medium, large，即可使用对应的识别模型
| Mode | 要求显存 | 速度 |
|:------:|:------:|:----:|
| base | 大于1 GB | ~16x |
| medium | 大于5 GB | ~2x |
| large | 大于10 GB | 1x |
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