bash bash.letpdf.com

included

• templates
• invoice
• invoice_date
• jpg2text
• ocr
• ocr_file
• ocr_folder
• pdf2jpg
• pdf2txt

start

clone project letpdf/bash: bash.letpdf.com

git clone https://github.com/letpdf/bash.git

Prepare python environment

cd /media/tom/projects/letpdf/bash
python3 -m pip install -r requirements.txt

import templates for invoices

git clone https://github.com/letpdf/templates.git

Invoice2textdata

PDFs are extremely difficult to scrape. Converting them to text files can make extracting their data significantly easier. I have focused on the widely used pdfminer package from python.

Convert from PDF files to this:

    { File Name:  2112.pdf Invoice Number:  INV002112 Invoice Date:  13-Jun-2016 Due Amount: Rs  1,661.09 }
    { File Name:  2137.pdf Invoice Number:  INV002137 Invoice Date:  22-Jun-2016 Due Amount: Rs  45.76 }
    { File Name:  2138.pdf Invoice Number:  INV002138 Invoice Date:  22-Jun-2016 Due Amount: Rs  45.76 }

Prerequisite

Update the config.json file and set the path as shown bellow:

    "src" : "Path where the zip file will be exctracted.",
    "des" : "path to the text file in which the complete data of pdf is exctracted.",
    "zip" : "complete path to the where the zip file is."

Execution

To extract the data from the set of pdf files, the invoive2textdata.py file is executed with the help of command:

                            python invoive2textdata.py config.json  

Usage

    invoice2textdata.py : Is used to convert the file to text and find File Name, Invoice number, Invoice 
                          date, Due amount.

    functions.py        : Has set of functions like:
                            1. convert(), 
                            2. find_invoice_number(), 
                            3. find_date(),
                            4. find_amount()

    config.json         : Has path to Source and Destination.