If DjVu document has color images, then they'll be usually placed on background layer in this case user can take advantage of tools like ddjvu (extract only background layer) and imagemagick (auto-crop) to output just images instead whole canvas, but it can't be automated for creating PDF outputĪnother saner, but slower approach is use of regular OCR GUI tools. Lengthy comments below discuss representing smaller images from DjVu document page as separate objects, which is not easily possible because DjVu document page is itself just a single image with optional text layer, with no "information" about smaller images as separate objects. Homebrew takes care of downloading all its dependencies. Mac users can also run brew install djvu2pdf to install the program and djvu2pdf file.djvu to convert. On mac you djvu2pdf is available via MacPorts. Which is identical to input DjVu file and has text layer inside: 1 Answer Sorted by: 3 You can use xpdf to extract the scan images from inside your PDF files Then use imagemagick to convert each image into pbm format: convert page-000.png page-000.pbm Then convert your pbm images into djvu pages with djvulibre. Installing djvulibre-bin using apt-get and then installing the deb file in that link did the trick. Then this nifty program takes care of everything that's inside this folder (HTML and TIFF files with same base name) and produces output PDF file with some by-products: sample.djvu This is where pdfbeads comes in play, and we simple execute: So that we end with these file in out work folder: sample.djvu Now we extract DjVu page to TIFF format with:ĭdjvu -format=tiff -page=10 sample.djvu pg10.tif Sed intervention corrects class names in output hOCR (which is just simple HTML file) We can use djvu2hocr command (from ocrodjvu package) to extract hidden text layer from DjVu file (it doesn't do any OCR or similar, it just extracts text layer with geometry), i.e.:ĭjvu2hocr -p 10 sample.djvu | sed 's/ocrx/ocr/g' > pg10.html pdfbeads, that has it's own requirements which can be found by Google.Here is one way, which would require some not so common tools:
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