rmrl VS remarkable-layers

Cool project! Note that if you want to support the Remarkable scribbles, there's a Python project that does that:

https://github.com/rschroll/rmrl

If you need a high detail at the cost of cosmetics (e.g. pencil texture), rmrl is a pretty good renderer: https://github.com/rschroll/rmrl

100% and yet it's still worth it. I write this as a programmer meaning that, ironically enough, my distraction is when I pick the reMarkable to start reading or sketching but despite the minimalist setup still get distracted. Not by social network notifications or the possibility of a web search but rather here for example to suggest you https://github.com/rschroll/rmrl for your PDF and if its too limited (it always is) to consider what prototypes I could build that challenge the very way I read and write. I believe it's worst for researchers because the process itself must be described in order to publish a result. One must step back and describe the experiment so that it can be both challenged and reproduced. Consequently there is always on the back of the mind a simple and justified question "Is this the right way to do that?". I believe it is quite taxing but it still worth because, and that's just my view, thinking itself relies extensively on tools. We like to imagine that it's a pure process of the mind but for any complex enough thought, we need tools. We run simulations, we sketch diagram, we organize a bibliography which represents the thoughts and experiments of others, etc. This is literally unmanageable without tools regardless of ones "intelligence". This in turns mean that the better the tool, at least in regard to the final goal, the further one can go.

Then use https://github.com/rschroll/rmrl to convert the data files you get from the previous point to pdf.

I love this tool: https://github.com/rschroll/rmrl

Reading/parsing .rm files has been already implemented by these 2 Python libraries: * https://github.com/bsdz/remarkable-layers (not maintained any longer) * https://github.com/rschroll/rmrl (looks up-to-date)

This would also be less of an issue if you ran your own infrastructure (see rmfakecloud, or use something like Syncthing or Nextcloud together with rmrl for file conversion).

This has been a gripe of mine for a while. The problem is that reMarkable isn't implementing the PDF standard correctly. Their highlights are just visual overlays but not Annotation objects. I have submitted a pull request to the RMRL python library to fix this, but the author has not been responsive. I also submitted a support request referencing the specific standard, but I'm not holding my breath. In the mean time you can always try using my version of RMRL, but it requires use of the command line and a working python install.

One way to manage the issue, would be to look into rmlr, install python and pip via Entware/Toltec, and try to have rmlr running on the RM if all the dependencies can be found for the ARM architecture.

Specifically for this test I relied on https://github.com/bsdz/remarkable-layers

I personally prefer not to rely on the reMarkable cloud so what I would do is directly do this on the device. Meaning with Toltec I'd install Python, the dependencies to my script then run it. For the notebooks themselves the challenge is reMarkable specific format. You can bypass that entirely by relying on a background layer but if you want to be able to tinker with the content itself https://github.com/bsdz/remarkable-layers could help.

Regarding vectorized brushes I gave an example of a basic hack going from a library of shapes in SVG to the Lines .rm format then copy/pasting them a year ago https://twitter.com/utopiah/status/1317090050258178048 thanks to https://github.com/bsdz/remarkable-layers . Usable as-in but not the most convenient.

Convert image to SVG using e.g Inkscape then SVG to .rm using https://github.com/bsdz/remarkable-layers then on device copy/paste that image as a sketch to the first page of your notebook then set cover as 1st page. I think.

I found out that I am not the only one with this problem, this hack is supposed to fix it: https://github.com/bsdz/remarkable-layers

Running command git clone -q https://github.com/bsdz/remarkable-layers.git 'C:\Users\rocco\AppData\Local\Temp\pip-req-build-fqt72p3j'

Reading/parsing .rm files has been already implemented by these 2 Python libraries: * https://github.com/bsdz/remarkable-layers (not maintained any longer) * https://github.com/rschroll/rmrl (looks up-to-date)

Actually, checking out the awesome-reMarkable git repo I saw this https://github.com/bsdz/remarkable-layers

Not sure I understand as the reMarkable doesn't have an image viewer. That being said here are some examples using scp https://gist.github.com/Utopiah/e2d5c944bbd632e3ae0530e602977f45#file-remarkable_functions-sh and specifically for conversion https://github.com/bsdz/remarkable-layers https://github.com/lschwetlick/maxio/blob/master/rm_tools/rM2svg.py

You can install remarkable-layers on a Linux PC. The resulting notebook file will be uploaded to your reMarkable cloud storage (using rmapy). I could not test it myself though.