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hOCR is a format for representing OCR output, including layout information, character confidences, bounding boxes, and style information. It embeds this information invisibly in standard HTML. By building on standard HTML, it automatically inherits well-defined support for most scripts, languages, and common layout options. Furthermore, unlike previous OCR formats, the recognized text and OCR-related information co-exist in the same file and survives editing and manipulation. hOCR markup is independent of the presentation.

OCRopus(tm) is a state-of-the-art document analysis and OCR system, featuring pluggable layout analysis, pluggable character recognition, statistical natural language modeling, and multi-lingual capabilities.

The DjVuLibre XML Tools provide for editing the metadata, hyperlinks and hidden text associated with DjVu files. Unlike djvused(1) the DjVuLibre XML Tools rely on the XML technology and can take advantage of XML editors and verifiers.

With optical character recognition (OCR), you can scan the contents of a document into a single file of editable text. This article, which focuses on scanning books, describes the steps you need to take to prepare pages for optimal OCR results, and compares various free OCR tools to determine which is the best at extracting the text.

This is a BETA implementation of an XSLT file to transform a citation microformat encoded XHTML file into the corresponding citation file. The DRAFT specification for citation encodings can be found at the microformats.org wiki.