process-workIntelligent Document Processing (IDP) solutions transform unstructured and semi-structured information into usable data. Business data is at the heart of digital transformation; unfortunately, 80% of all business data is embedded in unstructured formats like business documents, emails, images and PDF documents.

Intelligent document processing is the next generation of automation, able to capture, extract, and process data from a variety of document formats. It uses AI technologies such as natural language processing (NLP), Computer Vision, deep learning and machine learning (ML) to classify, categorize, and extract relevant information, and validate the extracted data.



IDP makes any and all data accessible for business processing

The amount of data found in enterprises is growing.

By 2025, IDC predicts worldwide data to exceed 175 zettabytes. With most of this information locked in emails, text, PDFs, and scanned documents think for a moment of the volume of data in email alone it poses a real barrier to automation and digital transformation.






Intelligent Document Processing (IDP) converts unstructured data

Both unstructured and semi-structured data can be converted into structured, usable information, providing end-to-end automation to document-centric business processes.
Without IDP-like solutions, RPA automation processes will require knowledge workers to read documents and extract data. IDP is key to unlocking the value of RPA.




RPA needs intelligence, and AI needs automation to scale.

Together, IDP and RPA provide a simple yet effective tool to automate enterprise business processes. Like RPA, IDP tools are completely non-invasive, integration-friendly, and widely applicable across industries and business functions.






Intelligent Document Processing (IDP) provides:

  • Direct cost savings. Reduces expenses by dramatically cutting costs to process large volumes of data
  • Higher straight-through processing (STP). Minimize the need for knowledge workers to manually process documents
  • Ease of use. Allows businesses to get set up faster and automate more processes
  • Process efficiency. Enables end-to-end automation of document-centric processes
  • Accuracy uplift. See immediate significant increases in data accuracy with the use of AI
  • Strategic goal boost. Automated data processing supports business goals like improving customer experience


What are the benefits of combining IDP with RPA?

Empower business users to automate any business process that involves documents, by themselves

IDP is an essential ingredient of intelligent automation. Automation can reach only so far as data is available to work with. With standard RPA systems, setting up data extraction to run automation is often a separate 3rd party project, which adds ongoing costs as well as fragile integration points.

Effectively extracting data and structuring information is the gateway to automating the lion’s share of business processes that today rely on manual inputs and intervention. Embedding Intelligent Document Processing within the RPA platform is what enables business users to automate processes end-to-end. When IDP and RPA live together in the same platform, you have the biggest pieces of the automation puzzle working in sync, effortlessly.