

To extract tabular content either the use of vertical and horizontal lines we can identify a table through this else the libraries mentioned help us in identifying the table. To make things easy there are tools that do it end to end although none have achieved 100% accuracy in all the task but have divided the documents into various categories such as (Invoice ,ID Card, Purchase Orders, Income Proof, Tax Form, Mortgage forms)ġ.Structured PDF- If it is a tabular data we can use camelot, tabula or pdftotext library to directly convert the data into a dataframe. recognizing the text (printed / handwritten).Finding the text also get it‘s relative coordinates with respect to the scanned page.Scanned PDF : These documents are challenging as there are a number of hidden task attached to it
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Scanned PDF - (structured / semi-structured / unstructured data / text in the wild).To freed the PDF data into a database in some structured format these documents(PDF) needs to be first extracted there are several ways to extract the data depending on the type of PDF These PDF are can be divided into structured / semi-structured / unstructured data. Today most of the document are in the form of a PDF either it is a scanned PDF or a text based extracted PDF.
