How Does Automated Document Processing Work?

Step 1: Pre and Image Processing

When you add a document to process and grab data, IDP Software applies many techniques such as noise reduction, de-skewing, and binarization to maximize the quality of the documents. The Computer vision of the software first understands the structure and, identifies its type of it such as text, graphs, and images.

Step 2: Document Classification

Document Classification is the recognition and separation of the elements of the document using machine learning and natural language processing. Machine learning can recognize patterns in each document and take care of them by quickly classifying their type. IDP is also ideal for other documents such as bills of lading, commercial invoices, and accounts payable invoices.

Step 3: Data Extraction from the Raw Data

After uploading your document, the AI of the IDP Software ​​performs an initial classification. For example, if it is an image-based document, it uses OCR to extract the data. This system re-structure the unstructured data to the structured and mapped to our document schema. One of the key deliverables of IDP systems is the ability to identify valuable information and extract it for further analysis or processing. After all, it is appreciating all the different components classifying them properly, and taking them to the next destination.

Step 4: Data Exceptions and Validation

Data Extraction Exceptions is managing the exception log through a logistics-focused exception manager. Here, the fact is if the logs are not sent to the TMS, the manager will see and make some changes to the document and the app will automatically update.

On the other hand, the IDP Platform Pre Configures Dictionarie and Leverage External Document databases for validating the extracted document from the documents by using human-in-the-loop and machine learning frameworks. This process ensures the quality of data collected in the right format and ready for immediate use.

Step 5: Converting and Integrating Data into the Desired Format

After validating the data and continuously learning and improving its accuracy over time. Once the documents are scanned, the data is transferred to your software system, updating the work record with information from the documents, it is time to integrate the data into the larger enterprise system.

Many small or big business businesses spend countless hours manually processing documents, whether the size of the industry is big or small. Automatic document processing is very beneficial in this case to double up the speed of the operations. In this article, we will learn the exact reason and benefits of using automation software for document processing in your business.