Web-assembly powered WYSIWYG LaTeX Editor, supporting nearly all LaTeX package

SwiftLaTeX

A Browser-based Fast LaTeX Visual Editor.

Key features:

  1. WYSIWYG
  2. Fast compilation thanks to LaTeX checkpointing
  3. Cloud file storage

Try it here: https://www.swiftlatex.com/oauth/login_oauth?type=sandbox

Short Introduction

SwiftLaTeX is a Web-browser based editor to create PDF documents such as reports, term projects, slide decks, in the typesetting system LaTeX. In contrast to other web-based editors SwiftLaTeX is true WYSIWYG, What-you-see-is-what-you-get: You edit directly in a representation of the print output. You can import a LaTeX document at any stage of completeness into SwiftLaTeX. You can start a new document with SwiftLaTeX, or you can use SwiftLaTeX for final copy-editing. For advanced operation you can edit the so-called LaTeX source code, which gives you more fine-grained control. SwiftLaTeX is collaborative; you can share your project with others and work on it at the same time. SwiftLaTeX stores your data in the cloud under your account; currently it supports Google Drive and DropBox.

Run SwiftLaTeX using Docker in 3 Steps.

  1. Install Docker
  2. Run "docker build . -t swiftlatex/swiftlatex"
  3. Run "docker-compose up"

Run SwiftLaTeX using Python3 in 3 Steps

  1. Install Python3 && Pip3
  2. Run "pip3 install -r requirements.txt"
  3. Run "python3 wsgi.py"

Adding Google Drive and Dropbox Support

  1. You first need to be a Google API Developer to retrieve a Google API Client ID and Secret. See here ( https://developers.google.com/identity/protocols/OAuth2 )
  2. Edit config.py and put your Client ID and Secret Inside. (You can use environment variables instead.)

Known bug lists

  1. WYSIWYG

Formulas are absolute positioned, therefore, the correct display only comes after a compilation. Reductant spaces occurs between words.

  1. Slow Upload to Google

Our system abstracts your cloud storage as a POSIX-like file system to simplify user interface implementation at the cost of a little bit performance. We are working hard to improve our implementation to reduce the network turn around time.

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