percollate
url-to-epub
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percollate | url-to-epub | |
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14 | 1 | |
4,108 | 13 | |
- | - | |
5.9 | 0.0 | |
3 months ago | almost 2 years ago | |
JavaScript | JavaScript | |
MIT License | MIT License |
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percollate
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The Case Against AI Everything, Everywhere, All at Once
You can still choose automation. The easier route for me is to use wallabag to save the article. Then on my remarkable tablet I can grab a very readable document with https://github.com/koreader/koreader.
The other option is to use https://github.com/danburzo/percollate to convert a webpage to a nice document directly. I use both tools depending on my needs.
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Share my down(load) function!
This function is just a simple combination with yt-dlp and percollate.
- Selfhosted service to screenshot websites - but I'm not finding the options I need
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Reverse Engineering or Recreating the Chrome Extension?
If someone hasn't already done this and I can't figure out how they are converting HTML, I have also considered using Percollate to convert, then sending to ReMarkable via rmapi.
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ArchiveBox Alternative
The Cli Tool Percollate offers a different approach, but is also very good: https://github.com/danburzo/percollate
- Reading web articles on the reMarkable
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Is there a command line program to convert web pages into readable markdown/htm/pdf format? preferably markdown
Concerning pdf there is the well known wkhtmltopdf , but let me say that I love the not so well known percollate
- CLI to turn web pages into beautiful, readable PDF, ePub, or HTML docs
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Show HN: Lurnby, a tool for better learning, is now open source
Since I'm working on a similar project, this is how I am planning to pull content from the web, utilizing percollate[1] to get the HTML content, I haven't written any implementation for this in Python yet.
If you don't mind me asking, how were you going to implement spaced repetition? Since the Incremental Reading algorithm has never been published as far as I know.
[1]: https://github.com/danburzo/percollate
- What Are The Best Linux Apps?
url-to-epub
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Reading from the web offline and distraction-free
I do a lot of this work[3] (web to documents) and it's interesting to see other approaches. The medium image problem is something I've faced as well, but never got around to fixing. I'm planning to get a Remarkable soon, so will definitely be trying this out.
My personal solution has been https://github.com/captn3m0/url-to-epub/ (Node/readability), which I've tested against the entirety of Tor's original fiction collection[0] where it performs well enough (I'm biased). Another tool that does this beautifully well is percollate[1], but it doesn't give enough control of the metadata to the user - something I really care about.
I've also started to use rdrview[2], which is a C-port of the current Firefox implementation of "reader view". It is very unix-y, so it is easy to pipe content to it (I usually run it through tidy first). Quite helpful in building web-archiving or web-to-pdf or web-to-kindle pipelines easily.
[0]: https://www.tor.com/category/all-fiction/original-fiction/
[1]: https://github.com/danburzo/percollate
[2]: https://github.com/eafer/rdrview
[3]: https://captnemo.in/ebooks/
What are some alternatives?
rdrview - Firefox Reader View as a command line tool
zimit - Make a ZIM file from any Web site and surf offline!
koodo-reader - A modern ebook manager and reader with sync and backup capacities for Windows, macOS, Linux and Web
SingleFile - Web Extension for saving a faithful copy of a complete web page in a single HTML file
ricecooker - Python library for creating Kolibri channels and uploading to Studio
monolith-of-web - A chrome extension to make a single static HTML file of the web page using a WebAssembly port of monolith CLI
BasicCrawler - Basic web crawler that automates website exploration and producing web resource trees.
parser - 📜 Extract meaningful content from the chaos of a web page
Readability4J - A Kotlin port of Mozilla‘s Readability. It extracts a website‘s relevant content and removes all clutter from it.
Lurnby - A tool for active reading and personal knowledge management