reMarkable Tablet Integration (rmapi)
name: remarkable
by coolmanns · published 2026-03-22
$ claw add gh:coolmanns/coolmanns-remarkable-sync---
name: remarkable
description: Bidirectional sync with reMarkable tablet via Cloud API (rmapi). Fetch handwritten notes/sketches, process with AI, and push content back. Use for sketch enhancement, journal extraction, or sending documents/images to the tablet.
---
# reMarkable Tablet Integration (rmapi)
Bidirectional sync with reMarkable tablet via Cloud API. Fetch sketches and notes, process them (AI enhancement, text extraction), and push content back to the tablet.
Typical Use Cases
1. **Sketch → AI → Tablet loop** — Fetch rough sketch → enhance with AI → push polished version back
2. **Journal entries** — Fetch handwritten thoughts → interpret → append to memory/journal
3. **Brainstorming** — Fetch diagrams/lists → extract structure → add to project docs
4. **Send reading material** — Push PDFs/documents to tablet for offline reading
5. **AI art to tablet** — Generate images → convert to PDF → push for viewing on e-ink
Bidirectional Pipeline
┌─────────────────────────────────────────────────────────────────┐
│ FETCH (tablet → agent) │
├─────────────────────────────────────────────────────────────────┤
│ reMarkable → Cloud sync → rmapi get → .rmdoc │
│ ↓ │
│ unzip → .rm file → rmc → SVG │
│ ↓ │
│ cairosvg → PNG │
│ ↓ │
│ ┌──────────┴──────────┐ │
│ Text content? Visual/sketch? │
│ ↓ ↓ │
│ OCR/interpret AI image editing │
│ ↓ ↓ │
│ Add to memory Enhanced image │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ PUSH (agent → tablet) │
├─────────────────────────────────────────────────────────────────┤
│ Image/document → Convert to PDF (if needed) → rmapi put │
│ ↓ │
│ Cloud sync → tablet │
└─────────────────────────────────────────────────────────────────┘Prerequisites
1. Install rmapi
Download the latest release from [juruen/rmapi](https://github.com/ddvk/rmapi/releases) (ddvk fork recommended):
# Example for Linux amd64
curl -L https://github.com/ddvk/rmapi/releases/latest/download/rmapi-linux-amd64 -o ~/bin/rmapi
chmod +x ~/bin/rmapi2. Install conversion tools
pip install --user rmc cairosvg pillow3. Authenticate (ONE-TIME)
1. Go to https://my.remarkable.com/connect/desktop
2. Log in and copy the 8-character code
3. Run `rmapi` and paste the code when prompted
4. Token saved to `~/.rmapi` — future runs are automatic
Commands
Fetch (Download from tablet)
# List files/folders
rmapi ls
rmapi ls -l -t # Long format, sorted by time
# Refresh from cloud
rmapi refresh
# Navigate
rmapi cd "folder name"
# Find files
rmapi find --starred / # Starred items
rmapi find --tag="my-tag" / # By tag
rmapi find / ".*sketch.*" # By regex
# Download single file
rmapi get "filename"
rmapi get "Folder/Notebook"
# Download with annotations (best for handwritten content)
rmapi geta "filename"
# Bulk download folder
rmapi mget -o ./sync-folder/ "/My Folder"Push (Upload to tablet)
# Upload single file (PDF or EPUB only)
rmapi put document.pdf
rmapi put document.pdf "Target Folder/"
# Bulk upload
rmapi mput ./local-folder/ "Remote Folder/"
# Create folder on tablet
rmapi mkdir "New Folder"**Supported formats:** PDF, EPUB
Conversion Workflows
Fetch: .rmdoc → PNG
reMarkable notebooks download as `.rmdoc` (a ZIP archive containing stroke data):
# 1. Download the notebook
rmapi get "Folder/MyNotebook"
# 2. Extract (it's a zip)
unzip "MyNotebook.rmdoc" -d extracted/
# 3. Find the .rm stroke file(s)
# Structure: extracted/<doc-uuid>/<page-uuid>.rm
find extracted -name "*.rm"
# 4. Convert .rm → SVG
rmc -t svg -o page.svg "extracted/<doc-uuid>/<page-uuid>.rm"
# 5. Convert SVG → PNG (reMarkable dimensions: 1404×1872)
python3 -c "
import cairosvg
cairosvg.svg2png(url='page.svg', write_to='page.png', output_width=1404, output_height=1872)
"Push: Image → PDF
reMarkable only accepts PDF/EPUB, so convert images first:
from PIL import Image
img = Image.open('image.png')
rgb = img.convert('RGB')
rgb.save('image.pdf', 'PDF', resolution=150)Then push:
rmapi put image.pdf "My Folder/"Full Workflow Example
**Sketch enhancement loop:**
# 1. Fetch sketch from tablet
rmapi get "Sketches/MyDrawing"
# 2. Extract and convert to PNG
unzip MyDrawing.rmdoc -d MyDrawing_extracted/
RM_FILE=$(find MyDrawing_extracted -name "*.rm" | head -1)
rmc -t svg -o sketch.svg "$RM_FILE"
python3 -c "import cairosvg; cairosvg.svg2png(url='sketch.svg', write_to='sketch.png', output_width=1404, output_height=1872)"
# 3. [Your AI enhancement step here]
# Example: use any image-to-image AI tool to enhance sketch.png → enhanced.png
# 4. Convert to PDF and push back
python3 -c "from PIL import Image; Image.open('enhanced.png').convert('RGB').save('enhanced.pdf', 'PDF', resolution=150)"
rmapi put enhanced.pdf "Sketches/"Sharing Strategies
Create a dedicated sync folder on your tablet, or use:
Notes
Troubleshooting
| Issue | Solution |
|-------|----------|
| `rmapi` not connecting | Re-authenticate: delete `~/.rmapi` and run `rmapi` again |
| File not found after upload | Wait for cloud sync, or refresh tablet manually |
| `rmc` format warnings | Usually safe to ignore; output still generated |
| SVG looks empty | Check if the correct `.rm` file was used (multi-page notebooks have multiple) |
More tools from the same signal band
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
Sign plugins, rotate agent credentials without losing identity, and publicly attest to plugin behavior with verifiable claims and authenticated transfers.
The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your...