Convert audio to SRT subtitles using OpenAI Whisper with automatic GPU acceleration for Intel XPU / NVIDIA CUDA / AMD ROCm / Apple Metal. Ideal for content creators as a free alternative to paid subtitle generation.
Convert audio files to SRT subtitles using local Whisper models — completely free, offline, and GPU accelerated.
| Device | Acceleration | FP16 |
|---|---|---|
| Intel Arc Series | XPU | ❌ Auto disabled |
| NVIDIA GPUs | CUDA | ✅ Auto enabled |
| AMD GPUs | ROCm | ✅ Auto enabled |
| Apple M Series | Metal | ✅ Auto enabled |
| No GPU | CPU | ❌ Auto disabled |
Place the audio file in your current working directory and tell the AI:
Convert xxx.mp3 to SRT subtitles
Or specify the full path directly:
Convert /path/to/audio.mp3 to SRT subtitles
Convert xxx.mp3 to English subtitles using large-v3-turbo model
Convert xxx.mp3 to subtitles, language is Japanese
AI will execute the scripts/transcribe.py script, which will:
turbo)pip install torch==2.10.0+xpupip install torch --index-url https://download.pytorch.org/whl/cu121pip install torchpip install openai-whisper~/.cache/whisper by default, use symlink/Junction to redirect to another diskTip for China users: If model download fails, manually download from mirror sites and place in
~/.cache/whisper/
| Model | Size | Speed | Accuracy |
|---|---|---|---|
tiny | 39M | Fastest | Low |
base | 74M | Fast | Medium |
small | 244M | Medium | Medium |
medium | 769M | Slow | High |
turbo | 809M | Medium | High ✅ Recommended |
large-v3 | 1550M | Slowest | Highest |
large-v3-turbo | 1550M | Slow | Highest |
使用本地 Whisper 模型将音频文件转录为 SRT 字幕,完全免费,无需联网,支持 GPU 加速。
| 设备 | 加速方式 | FP16 |
|---|---|---|
| Intel Arc 系列 | XPU | ❌ 自动禁用 |
| NVIDIA 显卡 | CUDA | ✅ 自动启用 |
| AMD 显卡 | ROCm | ✅ 自动启用 |
| Apple M 系列 | Metal | ✅ 自动启用 |
| 无独显 | CPU | ❌ 自动禁用 |
将音频文件放入当前工作目录,然后告诉 AI:
把 xxx.mp3 转成 SRT 字幕文件
或者直接指定路径:
把 /path/to/audio.mp3 转成 SRT 字幕
把 xxx.mp3 用 large-v3-turbo 模型转成英文字幕
把 xxx.mp3 转成字幕,语言是日语
AI 会调用 scripts/transcribe.py 脚本执行转录,脚本会:
turbo)pip install torch==2.10.0+xpupip install torch --index-url https://download.pytorch.org/whl/cu121pip install torchpip install openai-whisper 自动安装~/.cache/whisper,可用软链接/Junction 指向其他磁盘国内用户提示:首次运行会自动下载模型,如下载失败可手动从镜像站下载后放入
~/.cache/whisper/
| 模型 | 大小 | 速度 | 准确度 |
|---|---|---|---|
tiny | 39M | 最快 | 低 |
base | 74M | 快 | 中 |
small | 244M | 中 | 中 |
medium | 769M | 慢 | 高 |
turbo | 809M | 中 | 高 ✅ 推荐 |
large-v3 | 1550M | 最慢 | 最高 |
large-v3-turbo | 1550M | 慢 | 最高 |