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m1guelpf/yt-whisper has 1,442 GitHub stars and 144 forks. GitHot measured -1 stars in 24 hours and -1 in 7 days. Last checked 2026-11-11 20:05 UTC. Last push 2024-01-16.

How these counts are measured

Using OpenAI's Whisper to automatically generate YouTube subtitles

Measured star growth

in 24h
-1
in 7 days
-1
in 15 days
Update delayed
in 1 month
Update delayed

Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.

README.md

Original

Automatic YouTube subtitle generation

This repository uses yt-dlp and OpenAI's 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, which is available from most package managers:

# 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 file.

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