If you need to convert files from one markup format into another, pandoc is your swiss-army knife. Need to generate a man page from a markdown file? No problem. A Word document from textile source? Sure. HTML to MediaWiki? Yes, that too. Pandoc can read markdown and (subsets of) reStructuredText, textile, HTML, and LaTeX, and it can write plain text, markdown, reStructuredText, HTML, LaTeX, ConTeXt, PDF, RTF, DocBook XML, OpenDocument XML, ODT, GNU Texinfo, MediaWiki markup, textile, groff man pages, Emacs org-mode, AsciiDoc, Microsoft Word docx, EPUB ebooks, and S5 and Slidy HTML slide shows. PDF output (via LaTeX) is also supported. ·
The overall price of your project is determined using our price matrix. This involves three characteristics: typeface, legibility, and condition. A text that uses a standard modern or equivalent typeface is easier to digitize than a text that uses an obscure or difficult to decipher typeface or handwriting. Likewise, a text that is clear and uses a minimal number of character sets, or a text on pages that are not marred by physical damage such as smudges, tears, or unusual textual features, will be easier to digitize than a smudged text on worn pages. Learn more about the types of documents that can be submitted. ·
The New Zealand Electronic Text Centre collections provide open access to significant New Zealand and Pacific Island texts and materials.
This encompasses both digitised heritage material and born-digital resources. The collections contain over 2,600 texts (around 65,000 pages) which are made available in several formats and, where possible, under a Creative Commons license. ·
DocumentCloud is a catalog of primary source documents and a tool for annotating, organizing and publishing them on the web. Documents are contributed by journalists, researchers and archivists. We're helping reporters get more out of documents and helping newsrooms make their online presence more engaging. ·
Sanghun Ju, and Kyu-Baek Hwang. Proceedings of the ECML/PKDD 2009 Discovery Challenge Workshop, part of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (2009)