What is intelligent document processing (IDP)? The term “intelligent document processing” (IDP) refers to a group of solutions that automate document processing by applying artificial intelligence, computer vision, and machine learning.
IDP solutions use these technologies to extract unstructured data from documents like emails, PDFs, and scanned documents, and convert it to structured data.
The goal of IDP technologies is to automate data processing in documents. It helps users understand the information contained in the document, extracts it, and processes it for analysis. IDP captures, extracts, categorizes, and exports data by using AI technologies.
IDP solutions are offered as packages or bespoke implementations. Organizations use intelligent document processing for an array of use cases, such as:
This kind of document processing not only scans a document but also makes it intelligible, extracting the content, the layout, and even the images. Intelligent document processing is a form of intelligent process automation (IPA) that combines technologies such as natural language processing (NLP) and machine learning (ML) to automate tasks in document processing.
IDP helps organizations that receive a high volume of unstructured and semi-structured data. Unstructured documents like sales orders, invoices, and such, usually cannot be processed using traditional automation software.
Intelligent document processing involves several steps:
IDP helps organizations combine the data from paper documents with the massive amounts of digital data available. It provides organizations with visibility and a comprehensive evaluation of the data. IDP also facilitates end-to-end process automation. Since it can be integrated into any platform, it helps streamline processes. Additionally, this technology helps other AI analytics and machine learning processes, which require structured data to train and operate.
OCR (optical character recognition) is a technology that captures and converts an image into machine-readable text. This process is useful for digitizing documents. However, it doesn’t extract context from the content or interpret the data.
Here is where IDP comes in. IDP uses OCR technology to convert an image of the text into readable text. Next, it uses machine learning and deep learning to classify, interpret, and process the data. Additionally, the data can automatically integrate existing workflows for further processing.
IDP goes beyond OCR capabilities, processing a wide range of paper and digital documents, unstructured and structured data, handwritten text, etc. IDP recognizes and captures the content and extracts the context from the content.
As an example, processing a simple check requires several layers of processing:
Intelligent document processing identifies and extracts data from documents, processing it so it can be ready for analysis. Some benefits of intelligent document processing tools include:
Intelligent document processing converts unstructured data from documents into structured data. It classifies, extracts, and automates the processing of data from documents. There is an array of document processing solutions, offering a range of features. What should you focus on when trying to select an intelligent document processing tool?
This kind of document processing not only scans a document but also makes it intelligible, extracting the content, the layout, and even the images. Intelligent document processing is a form of intelligent process automation (IPA) that combines technologies such as natural language processing (NLP) and machine learning (ML) to automate tasks in document processing.
IDP helps organizations that receive a high volume of unstructured and semi-structured data. Unstructured documents like sales orders, invoices, and such, usually cannot be processed using traditional automation software.
Intelligent document processing involves several steps:
IDP helps organizations combine the data from paper documents with the massive amounts of digital data available. It provides organizations with visibility and a comprehensive evaluation of the data. IDP also facilitates end-to-end process automation. Since it can be integrated into any platform, it helps streamline processes. Additionally, this technology helps other AI analytics and machine learning processes, which require structured data to train and operate.
OCR (optical character recognition) is a technology that captures and converts an image into machine-readable text. This process is useful for digitizing documents. However, it doesn’t extract context from the content or interpret the data.
Here is where IDP comes in. IDP uses OCR technology to convert an image of the text into readable text. Next, it uses machine learning and deep learning to classify, interpret, and process the data. Additionally, the data can automatically integrate existing workflows for further processing.
IDP goes beyond OCR capabilities, processing a wide range of paper and digital documents, unstructured and structured data, handwritten text, etc. IDP recognizes and captures the content and extracts the context from the content.
As an example, processing a simple check requires several layers of processing:
Intelligent document processing identifies and extracts data from documents, processing it so it can be ready for analysis. Some benefits of intelligent document processing tools include:
Intelligent document processing converts unstructured data from documents into structured data. It classifies, extracts, and automates the processing of data from documents. There is an array of document processing solutions, offering a range of features. What should you focus on when trying to select an intelligent document processing tool?