Terminal Reader Mode with Pandoc and Less
The other day Aosheng send me an article to read from the verge. When I tried to read it, it took about 5 minutes to load because of the 15 various JavaScript things that were running in addition to ads loading in the background. Firefox was unhappy, and even when I tried to turn on “Reader View” (which strips out all of the junk) it took another minute to load. I’ve been on a UNIX binge lately so I figured there had to be a clever hack to make my own reader view in a terminal. This is where pandoc comes to the rescue. I’ve written about this tool in the past discussing how to easily convert Markdown to PDF. It turns out that pandoc also supports arbitrary URL arguments which means that you can convert HTML files on the fly without having to download them first. This means that we can take an arbitrary URL, pass it into pandoc, and spit out plain text. Furthermore, we can pipe this into less to get a nice pager for longer documents. The full string is shown below:
pandoc -f html -t plain https://www.theverge.com/2017/5/4/15547314/edward-snowden-cory-doctorow-nypl-talk-walkaway | less
-f specifies the input filetype, in this case HTML. -t specifies the conversion filetype, in this case plain text. Pandoc supports a ton of different formats, you can read the man pagefor more info.The next logical step is to make a script like my wordpress mutt posterto make this even easier. You could make a simple program called readerand put it in /usr/local/bin/reader. The contents of this script are:
1 2 3 4 5 6 | #!/bin/bash # Terminal Reader Mode using Pandoc and Less |
reader $URL.Thank you for reading! Share your thoughts with me on bluesky, mastodon, or via email.
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This is a collection of the last 8 posts that I bookmarked.
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Articles from blogs I follow around the net
Time
via Christopher Butler November 3, 2026Internet Archive’s alphabet
I love the Internet Archive, but I don’t love its interface. It’s just… not great all around, homely and confusing. It has some endearing qualities, harking back to the web of the 1990s without endless commerce and incessant growth hacking – Wikipedia feel...
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Yesterday's hot paper was Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights by Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab. The paper (OK, the authors classify is as a "blog post", but it's paper-shaped)...
via Simon Willison's Weblog: Entries November 3, 2026Generated by openring