Turn your PDF Document into Structured Data in seconds
There is a large amount of critical information stored in a semi-structured or unstructured format in PDFs documents. This makes it very difficult to leverage any information inside without digging it manually, which can be quite tedious.
The Doc Reader module uses a sharp technology in natural languages processing and machine learning to automatically extract information from documents and allows you to focus on what matters to you.
In order to extract structured information from pdf documents, we will use Supervised Machine Learning. Meaning we need to construct a dataset that will be used to train the machine learning algorithm in a supervised manner. This dataset needs to contain examples of Input documents and what is the expected output for each of those documents.
The Neural Network model is trained on a sequence of Input-Output pairs and learns how to perform the task. The model can then be applied to new documents that were not seen during training to produce new predictions.
This process allows the user to build custom models that can successfully extract all the information required by the user.