PyPDFOCR - Tesseract-OCR based PDF filing This program will help manage your scanned PDFs by doing the following: • Take a scanned PDF file and run OCR on it (using the Tesseract OCR software from Google), generating a searchable PDF • Optionally, watch a folder for incoming scanned PDFs and automatically run OCR on them • Optionally, file the scanned PDFs into directories based on simple keyword matching that you specify • Evernote auto-upload and filing based on keyword search • Email status when it files your PDF More links: • • •. Filing based on filename match: If no keywords match the contents of the filename, you can optionally allow it to fallback to trying to find keyword matches with the PDF filename using the -n option. For example, you may have receipts always named as receipt_2013_12_2.pdf by your scanner, and you want to move this to a folder called ‘receipts’. Assuming you have a keyword receipt matching to folder receipts in your configuration file as described below, you can run the following and have this filed even if the content of the pdf does not contain the text ‘receipt’: pypdfocr filename.pdf -f -c config.yaml -n. Configuration file for automatic PDF filing The config.yaml file above is a simple folder to keyword matching text file. It determines where your OCR’ed PDFs (and optionally, the original scanned PDF) are placed after processing.

An example is given below: target_folder: 'docs/filed' default_folder: 'docs/filed/manual_sort' original_move_folder: 'docs/originals' folders: finances: - american express - chase card - internal revenue service travel: - boarding pass - airlines - expedia - orbitz receipts: - receipt The target_folder is the root of your filing cabinet. Any PDF moving will happen in sub-directories under this directory. The folders section defines your filing directories and the keywords associated with them. In this example, we have three filing directories (finances, travl, receipts), and some associated keywords for each filing directory. For example, if your OCR’ed PDF contains the phrase “american express” (in any upper/lower case), it will be filed into docs/filed/finances The default_folder is where the OCR’ed PDF is moved to if there is no keyword match. The original_move_folder is optional (you can comment it out with # in front of that line), but if specified, the original scanned PDF is moved into this directory after OCR is done. Otherwise, if this field is not present or commented out, your original PDF will stay where it was found.

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If there is any naming conflict during filing, the program will add an underscore followed by a number to each filename, in order to avoid overwriting files that may already be present. Evernote filing configuration file The config file shown above only needs to change slightly.

The folders section is completely unchanged, but note that target_folder is the name of your “Notebook stack” in Evernote, and the default_folder should just be the default Evernote upload notebook name. Target_folder: 'evernote_stack' default_folder: 'default' original_move_folder: 'docs/originals' evernote_developer_token: 'YOUR_TOKEN' folders: finances: - american express - chase card - internal revenue service travel: - boarding pass - airlines - expedia - orbitz receipts: - receipt. Using pip PyPDFOCR is available in PyPI, so you can just run: pip install pypdfocr Please note that some of the 3rd-party libraries required by PyPDFOCR wiill require some build tools, especially on a default Ubuntu system. If you run into any issues using pip install, you may want to install the following packages on Ubuntu and try again: • gcc • libjpeg-dev • zlib-bin • zlib1g-dev • python-dev For those on Windows, because it’s such a pain to get all the PIL and PDF dependencies installed, I’ve gone ahead and made an executable called You still need to install Tesseract, GhostScript, etc. As detailed below in the external dependencies list. Download Lagu Kim Dong Wok My Heart Is Calling. Manual install Clone the source directly from github (you need to have git installed): git clone Then, install the following third-party python libraries: • Pillow (Python Imaging Library) • ReportLab (PDF generation library) • Watchdog (Cross-platform fhlesystem events monitoring) • PyPDF2 (Pure python pdf library) These can all be installed via pip: pip install Pillow pip install reportlab pip install watchdog pip install pypdf2 You will also need to install the external dependencies listed below.

External Dependencies PyPDFOCR relies on the following (free) programs being installed and in the path: • Tesseract OCR software • GhostScript • ImageMagick • Poppler () Poppler is only required if you want pypdfocr to figure out the original PDF resolution automatically; just make sure you have pdfimages in your path. Note that the provided pdfimages does not work for this, because it does not support the -list option to list the table of images in a PDF file. On Mac OS X, you can install these using homebrew: brew install tesseract brew install ghostscript brew install poppler brew install imagemagick On Windows, please use the installers provided on their download pages. ** Important ** Tesseract version 3.02.02 or newer required (apparently 3.02. Motorola Manual. 01-6 and possibly others do not work due to a hocr output format change that I’m not planning to address). On Ubuntu, you may need to compile and install it manually by following Also note that if you want Tesseract to recognize rotated documents (upside down, or rotated 90 degrees) then you need to find your tessdata directory and do the following: cd /usr/local/share/tessdata cp eng.traineddata osd.traineddata osd stands for Orientation and Script Detection, so you need to copy the.traineddata for whatever language you want to scan in as osd.traineddata. If you don’t do this step, then any landscape document will produce garbage.