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JHOVE is not an effective PDF/A validator, as detailed in this article: http://www.pdfa.org/2014/12/ensuring-long-term-access-pdf-validation-with-jhove/ In short, it's buggy. Out of 670 invalid PDF/A files in a test suite, it only flagged 5. It only looks for certain problems that Ghostscript generated PDFs are unlikely to have. So use qpdf as a final check for general ill-formed PDF problems since it is quite reliable. JHOVE 1 is no longer maintained. There's a JHOVE 2 but it has no PDF support. I also don't know if it's appropriate to bundle JHOVE, with an LGPL, under this project and its current license. Removing a dependency on Java is a huge win. A world with less Java is a world with less AbstractFactoryConstructorInterfaces.
OCRmyPDF ======== OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched. Main features ------------- - Generates a searchable `PDF/A <https://en.wikipedia.org/?title=PDF/A>`__ file from a PDF file containing only images - Places OCRed text accurately below the image to ease copy / paste - Keeps the exact resolution of the original embedded images - or if requested oversamples the images before OCRing so as to get better results - If requested deskews and/or cleans the image before performing OCR - Validates the generated file against the PDF/A-1b specification using `JHOVE <http://jhove.sourceforge.net/>`__ - Provides debug mode to enable easy verification of the OCR results - Processes several pages in parallel when more than one CPU core is available - Uses Tesseract OCR engine For details: please consult the `release notes <RELEASE_NOTES.rst>`__ Motivation ---------- I searched the web for a free command line tool to OCR PDF files on Linux/UNIX: I found many, but none of them were really satisfying. - Either they produced PDF files with misplaced text under the image (making copy/paste impossible) - Or they did not display correctly some escaped HTML characters located in the hOCR file produced by the OCR engine - Or they changed the resolution of the embedded images - Or they generated PDF files having a ridiculous big size - Or they crashed when trying to OCR some of my PDF files - Or they did not produce valid PDF files (even though they were readable with my current PDF reader) - On top of that none of them produced PDF/A files (format dedicated for long time storage) ... so I decided to develop my own tool (using various existing scripts as an inspiration) Install ------- Download OCRmyPDF here: https://github.com/fritz-hh/OCRmyPDF/releases You can install it within a virtual environment or system-wide. To install the HEAD revision from sources in development mode:: git clone -b master https://github.com/fritz-hh/OCRmyPDF.git cd OCRmyPDF pip3 install -e . On certain Linux/UNIX platforms such as Ubuntu, you may need to use run the install command as superuser:: sudo pip3 install -e . Note that this will alter your system's Python distribution. If you prefer to not install as superuser, you can install the package in a Python virtual environment:: git clone -b master https://github.com/fritz-hh/OCRmyPDF.git pyvenv venv source venv/bin/activate cd OCRmyPDF pip3 install -e . If your platform does not have ``pip3``, make sure that Python 3.4+ and the `pip` package are installed. To run the program:: ocrmypdf --help If not yet installed, the script will notify you about dependencies that need to be installed. The script requires specific versions of the dependencies. Older version than the ones mentioned in the release notes are likely not to be compatible to OCRmyPDF. Support ------- In case you detect an issue, please: - Check if your issue is already known - If no problem report exists on github, please create one here: https://github.com/fritz-hh/OCRmyPDF/issues - Describe your problem thoroughly - Append the console output of the script when running the debug mode (-v 1 option) - If possible provide your input PDF file as well as the content of the temporary folder (using a file sharing service like www.file-upload.net) Press & Media ------------- - `c't 1-2014, page 59 <http://www.heise.de/ct/inhalt/2014/1/58/>`__: Detailed presentation of OCRmyPDF v1.0 in the leading German IT magazine c't - `heise Open Source, 09/2014: Texterkennung mit OCRmyPDF <http://www.heise.de/-2356670>`__ Disclaimer ---------- The software is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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