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We present a simple tool for extracting text and markup information from printouts of (not only) scientific documents. While the heavy-lifting OCR is done by off-the-shelf tesseract, our focus is on detection, extraction, and basic categorization of color-highlighted text sections, as well as on providing a framework for downstream processing of extraction results. The tool can be useful for document analysis tasks that must, or benefit from being able to, use printed paper.
We describe a simple procedure for the automatic creation of word-level alignments between printed documents and their respective full-text versions. The procedure is unsupervised, uses standard, off-the-shelf components only, and reaches an F-score of 85.01 in the basic setup and up to 86.63 when using pre- and post-processing. Potential areas of application are manual database curation (incl. document triage) and biomedical expression OCR.