Are there any open source libraries that support table identification &amp; extraction?

By this I mean: 

 1. Identify a table structure exists
 2. Classify the table from its contents
 3. Extract data from the table in a useful output format e.g. JSON / CSV etc.

I have looked through similar questions on this topic and found the following:

 - [PDFMiner][1] which addresses problem 3, but it seems the user is required to specify to PDFMiner where a table structure exists for each table (correct me if I&#39;m wrong)
 - [pdf-table-extract][2] which attempts to address problem 1 but according to the [To-Do][3] list, cannot currently identify tables that are separated by whitespace. This is a problem as all tables in my PDFs are separated by whitespace!

Currently, I am thinking that I would have to spend a lot of time developing a Machine Learning solution to identify table structures from PDFs. Therefore, any alternative approaches would be more than welcome!


  [1]: https://pypi.python.org/pypi/pdfminer/
  [2]: https://github.com/ashima/pdf-table-extract
  [3]: https://github.com/ashima/pdf-table-extract/blob/master/TODO.md

All Pdf Parsing Solutions on Gang of Coders

Total of 1 Pdf Parsing Solutions

Extract / Identify Tables from PDF python