I wrote a tool for this called CX_DB8. It's better than any other "TextRank" based extractive summarizer in that it utilizes the latest in word embeddings, and supports queryability. Furthermore, it is the only word-level extractive summarizer to support all of this. Mostly aimed at the competitive debate community but anyone can use it.

https://github.com/Hellisotherpeople/CX_DB8

Hopefully you'll see my paper about this in EMNLP 2019 System Demos...

I actually commented[1] similar to this. I may end up eventually writing one, though I have no idea what is involved. What are your use cases? Are you aware of anything even close? I could definitely use jumping off points for implementation, as I've got no idea how to write something like this.

[1]: https://news.ycombinator.com/item?id=20547875

This is very similar to https://smmry.com/

Enjoy

NLTK (python) will do it. I'm working on a similar project and the text summaries are great, even for non English articles.

Something like this is built in to macOS.