Case Study – Information Extraction From PDF
- Master Policy No.
- Certificate No.
- GST NO.
Steps- Extract Information from pdf
The above diagram depicts the steps involved in the extraction of information from a pdf file. As you can see, there are three steps involved in this process.
- Convert PDF to text – In this step, we need to convert the PDF file to a text string. This can be achieved via python packages like pdfminer.six or PyPDF2. In the code example for this tutorial, I have used PyPDF2. Please note that this process extracts texts only from text-based PDFs.
- Extract Information from Text – Once the text data is available, the next step is to find the required fields. This can be found with the help of regular expressions.
- Reformat and Extract– After the required information is extracted and stored. This step ensures that the information is stored in such a way so as to make the data interpretable and easy to extract. This can be done with the help of pandas library of python.