video-to-article 0.1.3

Turn YouTube videos into articles using subtitles and AI (OpenAI or local MLX).

video-to-article

Turn YouTube videos into articles: downloads subtitles and description with yt-dlp, then uses an AI model to draft an article and optionally add a critical review section. Output is saved as HTML (and intermediate files) under a per-video directory.

Mac users new to the command line: see MAC_SETUP.md for installing Python, Homebrew, and running the tool in Terminal.

Install

pip install video-to-article

For local models (MLX on Apple Silicon):

pip install video-to-article[mlx-lm]

On M3 Pro Mac we recommend the Qwen/Qwen3-8B model: v2a <url> -m Qwen/Qwen3-8B.

You can also install from source with uv: uv sync then uv run v2a ....

Setup

• OpenAI: For cloud models, set OPENAI_API_KEY. Get a key at API keys.
• YouTube / yt-dlp: Subtitle download uses EJS and impersonation (included). For full compatibility, a JavaScript runtime on your PATH is recommended so yt-dlp can run its challenge solver (otherwise you may see warnings and some videos may fail). Install Deno if you don’t have one—e.g. brew install deno (macOS) or see Deno’s install guide for Linux/Windows.

Usage

Usage: v2a [OPTIONS] VIDEO_URLS...

Convert YouTube videos to articles using AI.

Extra options (e.g. --temperature 0.7) are passed to the model.

╭─ Arguments ─────────────────────────────────────────────────────────────────────────────────────────────╮
│ *    video_urls      VIDEO_URLS...  YouTube video URLs to process [required]                            │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─ Options ───────────────────────────────────────────────────────────────────────────────────────────────╮
│ --model        -m      TEXT  Model name or path [default: gpt-5.2]                                      │
│ --output-dir   -o      PATH  Output directory for results [default: articles]                           │
│ --open-browser / --no-open-browser        Open the result HTML in the browser [default: open-browser]   │
│ --overwrite    -f            Overwrite cached step results                                              │
│ --skip-review                Skip the critical review step                                              │
│ --help                       Show this message and exit.                                                │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────╯

Example:

v2a "https://www.youtube.com/watch?v=..." -o articles

Run v2a --help anytime for the same reference.

Contributing

Contributions are welcome. In particular, support for other LLM clients (e.g. for Linux or Windows, or other cloud providers) would make the tool more useful—see the generator layer and open an issue or PR.

License

MIT