![]() ![]() ocr_image uses Tesseract to OCR the text from an image of a cell.extract_cells extracts and orders cells from a table.extract_tables finds and extracts table-looking things from an image.pdf_to_images uses Poppler and ImageMagick to extract images from a PDF.The package is split into modules with narrow focuses. Processing table /tmp/demo_p9on6m8o/simple/table-000.png.Įxtracted 18 cells from /tmp/demo_p9on6m8o/simple/table-000.png Processing tables for /tmp/demo_p9on6m8o/simple.png. ![]() Running `extract_tables.main().`Įxtracted the following tables from the image: The following should be printed to your terminal after running the above commands. That will run against the following image: You can try it out with one of the images included in this repo. There is a demo module that will download an image given a URL and try to extract tables from the image and process the cells into a CSV. I haven’t looked into the minimum required versions of these dependencies, but I’ll list the versions that I’m using. Along with the python requirements that are listed in setup.py and that are automatically installed when installing this package through pip, there are a few external requirements for some of the modules. ![]()
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