supernote 0.13.4

All-in-one toolkit for Supernote devices: parse notebooks, self-host services, access services

supernote

Personal Knowledge Management Hub for Supernote: parse notebooks, self-host services, and unlock AI insights.

This content is shared between the documentation and github repository at github.com/allenporter/supernote-lite.

Features

• Notebook Parsing: Convert .note files to PDF, PNG, SVG, or text
• AI-Powered Insights: OCR, automated summarization, and key metadata extraction via Gemini API
• Supernote Private Server: Self-hosted Supernote Private Cloud with robust background processing
• Developer API: Interact with Supernote Cloud and local data through a modern async Python client
• System Maintenance: Background polling, auto-recovery for stalled tasks, and storage quota management

AI & Automation

Supernote-Lite transforms your handwritten notes into structured knowledge. When configured with a Gemini API key, the server automatically:

• OCR: Transcribes handwriting with high accuracy.
• Summarization: Generates concise summaries of your note journals.
• Entity Extraction: Identifies dates, tasks, and key themes.
• Retrieval Support: Chunks and indexes notes for efficient search (Experimental).

Installation

# Install specific components
pip install supernote              # Notebook parsing only
pip install supernote[server]      # + Private server & AI features
pip install supernote[client]      # + API Client

# Full installation (recommended for server users)
pip install supernote[all]

Local Development Setup

To set up the project for development, please refer to the Contributing Guide.

Quick Start

Start the AI-Powered Server

1. Bootstrap with Gemini:

   export SUPERNOTE_GEMINI_API_KEY="your-api-key"
   supernote serve
   

2. Register & Login:

   # Add your first user (System Admin)
   supernote admin --url http://localhost:8080 user add [e-mail]
   
   # Login via CLI
   supernote cloud login [e-mail] --url http://localhost:8080
   supernote cloud ls
   

See the Bootstrap Guide for detailed deployment and security instructions.

Parse a Notebook

from supernote.notebook import parse_notebook

notebook = parse_notebook("mynote.note")
notebook.to_pdf("output.pdf")

The notebook parser is a fork and slightly lighter dependency version of supernote-tool. All credit goes to the original authors for providing an amazing low-level utility.

Run with Docker

# Build & Run server
docker build -t supernote .
docker run -d -p 8080:8080 -v $(pwd)/storage:/storage supernote serve

See Server Documentation for details.

Developer API

Integrate Supernote into your own Python applications:

from supernote.client import Supernote
# See library docstrings for usage examples

CLI Usage

# Server & Admin
supernote serve
supernote admin user list

# Notebook operations
supernote notebook convert input.note output.pdf
supernote notebook analyze input.note

# Cloud operations
supernote cloud login --url http://localhost:8080 [e-mail]
supernote cloud ls

Contributing

We welcome contributions! Please see our Contributing Guide for details on:

• Local development setup
• Project architecture
• Using Ephemeral Mode for fast testing
• AI Skills for agentic interaction

Acknowledgments

This project is in support of the amazing Ratta Supernote product and community. It aims to be a complementary, unofficial offering that is compatible with the Private Cloud feature.

Comparison with Official Private Cloud

Feature	Official Private Cloud	Supernote-Lite (This Project)
Core AI	No (Basic Sync)	Yes (OCR, Summaries, Insights)
System	Java / Spring	Python (Asyncio)
Source	Closed Source	Open Source
Flexibility	Set-and-forget	High (Developer-friendly, CLI)
Hardware	Docker Required	Python 3.13+ (Low resource)
Status	Stable Product	Community Innovation

Use the Official Private Cloud if:

• You want a supported, "set-and-forget" solution.
• You prefer using Docker containers.

Use Supernote-Lite if:

• You want AI insights and OCR for your notes.
• You want to integrate Supernote data into your local scripts or knowledge workflows.
• You want to run on low-power hardware without Docker overhead.
• You want full control over how your data is processed.

Community Projects

• jya-dev/supernote-tool - Original parser foundation.
• awesome-supernote - Curated resource list.
• sn2md - Supernote to text/image converter.