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Using OpenAI's Whisper to automatically generate YouTube subtitles
| Date | Stars |
|---|---|
| 2026-07-24 | 1445 |
| 2026-07-25 | 1445 |
| 2026-07-28 | 1445 |
| 2026-07-30 | 1445 |
| 2026-08-06 | 1445 |
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# Automatic YouTube subtitle generation
This repository uses `yt-dlp` and [OpenAI's Whisper](https://openai.com/blog/whisper) to generate subtitle files for any youtube video.
## Installation
To get started, you'll need Python 3.7 or newer. Install the binary by running the following command:
pip install git+https://github.com/m1guelpf/yt-whisper.git
You'll also need to install [`ffmpeg`](https://ffmpeg.org/), which is available from most package managers:
```bash
# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg
# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg
# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg
```
## Usage
The following command will generate a VTT file from the specified YouTube video
yt_whisper "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
The default setting (which selects the `small` model) works well for transcribing English. You can optionally use a bigger model for better results (especially with other languages). The available models are `tiny`, `tiny.en`, `base`, `base.en`, `small`, `small.en`, `medium`, `medium.en`, `large`.
yt_whisper "https://www.youtube.com/watch?v=dQw4w9WgXcQ" --model medium
Adding `--task translate` will translate the subtitles into English:
yt_whisper "https://www.youtube.com/watch?v=dQw4w9WgXcQ" --task translate
Run the following to view all available options:
yt_whisper --help
## License
This script is open-source and licensed under the MIT License. For more details, check the [LICENSE](LICENSE) file.
Excerpt of 1,573 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9d67e8e6a3f01c9f, topic:whisper
