Markup for note taking

Overview

Subtext: markup for note-taking

Subtext is a text-based, block-oriented hypertext format. It is designed with note-taking in mind. It has a simple, people-friendly syntax with a passing resemblance to Markdown.

See the Speculative Specification.

We're experimenting with Subtext as part of Subconscious, a new tool for thought.

Warning to implementors: Subtext is currently experimental status. We'll be spending some time living with Subtext and building experimental tools on top of it before committing to anything. The language design is just a hypothesis! It might undergo radical breaking changes! This is work in progress, and shared in the spirit of working with the garage door open.

A bit of Subtext

Here’s an example:

# Heading

Plain text

- List item
- List item

> Quoted text

& example.csv
& https://example.com

Subtext is line-oriented. Each line in the file is treated as a discrete block of content. The type of a line is determined by a sigil character, like #, &, >, at the front of the line. If a line doesn’t have a sigil character, it is treated as plain text. This makes Subtext very easy to parse, and very easy to write. It is currently impossible to write broken Subtext, which is nice!

Subtext is for notes

Today the book is already… an outdated mediation between two different filing systems. For everything that matters is to be found in the card box of the researcher who wrote it, and the scholar studying it assimilates it into his own card index. (Walter Benjamin)

HTML comes in web pages. The analogy for an HTML document is quite literally a page. The image that springs to mind is of an 8.5x11” sheet, carefully typeset, with multiple fonts, headings, complex formatting, perhaps laid out across many columns. HTML is a publication format, designed to produce complete, indivisible artifacts, called pages.

The right mental analogy for Subtext is not the page. It is the the index card.

Subtext deliberately avoids the kind of complex presentation features offered by publishing formats like HTML, PDF, and LaTex. It has no opinions about fonts, colors, sizes.

Like a stack of index cards, there are many ways to use Subtext, beyond simple linear layout. It isn’t just for narrative. It’s hypertext montage.

Subtext is block-oriented

Subtext represents block-oriented documents as line-oriented markup.

A block-oriented document is made up of a list of blocks of different types (or occasionally, a tree of blocks). Each block type may be displayed differently. For example, a quote block may render as quote-formatted text, while an image block may render an image in-place.

Some of the earliest hypertext proposals were block-oriented, including Ted Nelson's ELF (Nelson, 1965). Block-oriented documents have also independently evolved within many contemporary tools-for-thought, including Notion, Roam, and Ward Cunningham's Federated Wiki.

Why does this pattern keep re-emerging? One reason might be that block-oriented editing is an easy way to express rich formatting. But more importantly…

Blocks are composable

Blocks are thought legos. A block-oriented document is composable (and decomposable). You can break it apart into component blocks, filter it down to blocks of a particular type, merge documents, pluck out blocks, link to specific blocks, etc.

In theory, this is true of any tree-based markup language, such as HTML. But try meaningfully merging two HTML files in practice... Yikes! Tag soup!

A linear block-oriented format resolves the problem by radically simplifying it. With a linear data model, the range of meaningful document structures is narrowed, and this means you can make complex, yet meaningful programmatic decisions, without much context about the specific document:

  • Excerpt a document by taking the first text block
  • Select all quotes from a collection of documents
  • Select all links, and generate a link graph for a collection of documents
  • Find all backlinks and append them to the document as links

Linear block-oriented documents are like shipping containers for discrete thoughts. Because blocks are structurally uniform, they can be automatically moved around and reorganized. Software can split, join, and merge documents easily and effectively, because the document structure is simple.

Subtext is hypertext

Link blocks (&) are the most important feature in Subtext. They let you reference other files, and URLs. You can link to any kind of file, including other Subtext files!

The plan is to have Subconscious display these links as transclusions. Rather than linked words in text, imagine something more like a quote tweet… Links to images display as literal images, links to videos display as playable videos with playback controls, links to documents display some or all of the content inside of the linked document. This lets you compose hypertext documents from many smaller documents.

This keeps Subtext simple. Rather than extending the syntax of Subtext to include a complex feature like tables, we might, for example, link to a .csv file, which then gets rendered as a table. This also means the data stays in its native file type, and can be used in other applications.

One of the many attempts of nature to evolve a Xanadu

By an accident of convergent evolution, Subtext happens to have some similarities to Ted Nelson's ELF format (Nelson, 1965).

Ted Nelson “A File Structure for the Complex, the Changing, and the Indeterminate”, 1965

Like ELF, Subtext documents are made up of a list of small blocks. Also like ELF, links are transcluded. Big documents can be composed by linking to small documents.

I discovered Ted Nelson’s ELF paper after writing up my first draft of Subtext. Uncovering this bit of convergent evolution was encouraging! It suggests I’m pulling on a worthwhile thread. Xanadu by way of Markdown? Something like that.

Why not Markdown?

I took a deep breath before thinking about the jump from Markdown. If you’re a programmer, Markdown is a de-facto standard for formatted text. For many, it is the first obvious choice for this kind of thing. So why Subtext?

Subtext has evolved out personal experiments with plain-text note-taking, spanning 10 years and 12k notes. Many of these notes are written in Markdown. However, over time, I noticed that my markup needs for note-taking were different from my markup needs for publishing. My note-taking style organically converged on a tiny subset of Markdown's features: text, links, lists, quotes, and one level of heading. To have more may be useful for publishing, but is often overkill for note-taking.

At the same time, I began to write small generative programs that worked with this collection of notes, little scripts that would combine ideas, remix notes, algorithmically generate new notes… these were the seeds that would later become Subconscious.

Here, I started to run into limitations with Markdown and HTML. As a complex publishing format, it is unclear how to meaningfully decompose or merge Markdown/HTML documents. When you combine documents, heading levels may need to be changed, lists may need to be flattened or nested. Because the document format is complex, foreknowledge of the meaning of the document is necessary to make meaningful changes. That limits what you can do with software.

Subtext is an attempt to resolve the problem by radically simplifying it. Paradoxically, by limiting the format to a flat list of blocks, we radically expand what software can usefully do with it. Blocks are easy to parse, easy to work with, and you can do all sorts of interesting generative algorithmic things with them.

The syntax is also simple, and hard to mess up, and I’m happy about that, too.

Project links

Owner
Gordon Brander
Building something new (prev @google, @mitmedialab, @mozilla).
Gordon Brander
This repository summarized computer vision theories.

This repository summarized computer vision theories.

3 Feb 04, 2022
Awesome Spectral Indices in Python.

Awesome Spectral Indices in Python: Numpy | Pandas | GeoPandas | Xarray | Earth Engine | Planetary Computer | Dask GitHub: https://github.com/davemlz/

David Montero Loaiza 98 Jan 02, 2023
A bot that plays TFT using OCR. Keeps track of bench, board, items, and plays the user defined team comp.

NOTES: To ensure best results, make sure you are running this on a computer that has decent specs. 1920x1080 fullscreen is required in League, game mu

francis 125 Dec 30, 2022
Primary QPDF source code and documentation

QPDF QPDF is a command-line tool and C++ library that performs content-preserving transformations on PDF files. It supports linearization, encryption,

QPDF 2.2k Jan 04, 2023
governance proposal to make fei redeemable for eth

Feil Proposal 🌲 Abstract Migrate all ETH from Fei protocol-controlled value into Yearn ETH Vault. Allow redemptions of outstanding FEI for yvETH. At

13 Mar 31, 2022
An expandable and scalable OCR pipeline

Overview Nidaba is the central controller for the entire OGL OCR pipeline. It oversees and automates the process of converting raw images into citable

81 Jan 04, 2023
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

RepMLP RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition Released the code of RepMLP together with an example o

260 Jan 03, 2023
📷 Face Recognition using Haar-Cascade Classifier, OpenCV, and Python

Face-Recognition-System Face Recognition using Haar-Cascade Classifier, OpenCV and Python. This project is based on face detection and face recognitio

1 Jan 10, 2022
Just a script for detecting the lanes in any car game (not just gta 5) with specific resolution and road design ( very basic and limited )

GTA-5-Lane-detection Just a script for detecting the lanes in any car game (not just gta 5) with specific resolution and road design ( very basic and

Danciu Georgian 4 Aug 01, 2021
One Metrics Library to Rule Them All!

onemetric Installation Install onemetric from PyPI (recommended): pip install onemetric Install onemetric from the GitHub source: git clone https://gi

Piotr Skalski 49 Jan 03, 2023
A simple Security Camera created using Opencv in Python where images gets saved in realtime in your Dropbox account at every 5 seconds

Security Camera using Opencv & Dropbox This is a simple Security Camera created using Opencv in Python where images gets saved in realtime in your Dro

Arpit Rath 1 Jan 31, 2022
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

EasyOCR Ready-to-use OCR with 80+ languages supported including Chinese, Japanese, Korean and Thai. What's new 1 February 2021 - Version 1.2.3 Add set

Jaided AI 16.7k Jan 03, 2023
Reference Code for AAAI-20 paper "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels"

Reference Code for AAAI-20 paper "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels" Please refer to htt

Ke Sun 1 Feb 14, 2022
TextBoxes++: A Single-Shot Oriented Scene Text Detector

TextBoxes++: A Single-Shot Oriented Scene Text Detector Introduction This is an application for scene text detection (TextBoxes++) and recognition (CR

Minghui Liao 930 Jan 04, 2023
SemTorch

SemTorch This repository contains different deep learning architectures definitions that can be applied to image segmentation. All the architectures a

David Lacalle Castillo 154 Dec 07, 2022
Layout Analysis Evaluator for the ICDAR 2017 competition on Layout Analysis for Challenging Medieval Manuscripts

LayoutAnalysisEvaluator Layout Analysis Evaluator for: ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records ICD

17 Dec 08, 2022
RRD: Rotation-Sensitive Regression for Oriented Scene Text Detection

RRD: Rotation-Sensitive Regression for Oriented Scene Text Detection For more details, please refer to our paper. Citing Please cite the related works

Minghui Liao 102 Jun 29, 2022
"Very simple but works well" Computer Vision based ID verification solution provided by LibraX.

ID Verification by LibraX.ai This is the first free Identity verification in the market. LibraX.ai is an identity verification platform for developers

LibraX.ai 46 Dec 06, 2022
textspotter - An End-to-End TextSpotter with Explicit Alignment and Attention

An End-to-End TextSpotter with Explicit Alignment and Attention This is initially described in our CVPR 2018 paper. Getting Started Installation Clone

Tong He 323 Nov 10, 2022
Textboxes_plusplus implementation with Tensorflow (python)

TextBoxes++-TensorFlow TextBoxes++ re-implementation using tensorflow. This project is greatly inspired by slim project And many functions are modifie

81 Dec 07, 2022