Welcome to Eben Moglen's Course Wiki

DejaVu

DejaVu is a data format designed specifically for compressing and displaying scanned images of printed material, such as book pages, a task at which it excels. Scanned materials for this course will be made available in DejaVu (.djvu) format, which is smaller, faster and more flexible than Portable Document Format (.pdf). Each image of a page also contains a hidden layer of text built by "optical character recognition" (OCR). This enables you to search through the text of the work you are reading, or to copy the text easily into another document.

Desktop readers

Linux --- Most Linux distributions will have a package named djview or djview4. Simply install that viewer and any other related djvu software you wish through your distribution's standard mechanisms.

Mac OSX --- A free software viewer can be downloaded from Djvu Libre.

Windows --- A free software viewer can be downloaded from Djvu Libre.

Alternate readers for all major operating systems can be downloaded from SourceForge

Browser viewing

Linux - Most Linux distributions should have a package named "djview-plugin" or similar, which will integrate with your browser of choice. Simply install that plugin and any other related djvu software you wish through your distribution's standard mechanisms.

Mac OSX - A free software browser plugin can be downloaded from Caminova.

Windows - A free software browser plugin can be downloaded from Caminova.

Mobile readers

Android - The "Document Viewer" application available from the free software F-droid.org repository should handle all of your DejaVu or PDF reading needs.

iOS - A number of DejaVu readers are available through the app store.

Go

Navigation

Webs Webs

r4 - 24 Sep 2023 - 20:19:06 - EbenMoglen
This site is powered by the TWiki collaboration platform.
All material on this collaboration platform is the property of the contributing authors.
All material marked as authored by Eben Moglen is available under the license terms CC-BY-SA version 4.
Syndicate this site RSSATOM