# Table of Contents
1. [Overview ](#org9a73e36 )
2. [Requirements ](#org1b4cf16 )
1. [External ](#orgf001e21 )
3. [Modules ](#org96344fe )
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# Overview
This python package contains modules to help with finding and extracting tabular
data from a PDF or image into a CSV format.
Given an image that contains a table…
![img ](resources/examples/example-page.png )
Extract the the text into a CSV format…
PRIZE,ODDS 1 IN:,# OF WINNERS*
$3,9.09,"282,447"
$5,16.66,"154,097"
$7,40.01,"64,169"
$10,26.67,"96,283"
$20,100.00,"25,677"
$30,290.83,"8,829"
$50,239.66,"10,714"
$100,919.66,"2,792"
$500,"6,652.07",386
"$40,000","855,899.99",3
1,i223,
Toa,,
,,
,,"* Based upon 2,567,700"
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# Requirements
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.
I haven’ t looked into the minimum required versions of these dependencies, but I’ ll list the versions that I’ m using.
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## External
- `pdfimages` 20.09.0 of [Poppler ](https://poppler.freedesktop.org/ )
- `tesseract` 5.0.0 of [Tesseract ](https://github.com/tesseract-ocr/tesseract )
- `mogrify` 7.0.10 of [ImageMagick ](https://imagemagick.org/index.php )
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# Modules
The package is split into modules with narrow focuses.
- `pdf_to_images` uses Poppler and ImageMagick to extract images from a PDF.
- `extract_tables` finds and extracts table-looking things from an image.
- `extract_cells` extracts and orders cells from a table.
- `ocr_image` uses Tesseract to OCR the text from an image of a cell.
- `ocr_to_csv` converts into a CSV the directory structure that `ocr_image` outputs.
The outputs of a previous module can be used by a subsequent module so that they
can be chained together to create the entire workflow, as demonstrated by the
following shell script.
#!/bin/sh
PDF=$1
python -m table_ocr.pdf_to_images $PDF | grep .png > /tmp/pdf-images.txt
cat /tmp/pdf-images.txt | xargs -I{} python -m table_ocr.extract_tables {} | grep table > /tmp/extracted-tables.txt
cat /tmp/extracted-tables.txt | xargs -I{} python -m table_ocr.extract_cells {} | grep cells > /tmp/extracted-cells.txt
cat /tmp/extracted-cells.txt | xargs -I{} python -m table_ocr.ocr_image {}
for image in $(cat /tmp/extracted-tables.txt); do
dir=$(dirname $image)
python -m table_ocr.ocr_to_csv $(find $dir/cells -name "*.txt")
done
The package was written in a [literate programming ](https://en.wikipedia.org/wiki/Literate_programming ) style. The source code at
< https: / / eihli . github . io / image-table-ocr / pdf_table_extraction_and_ocr . html > is
meant to act as the documentation and reference material.