To do this, businesses rely on modern technology, such as intelligent document processing (IDP) and optical character recognition (OCR). IDP and OCR play important roles in automated data extraction and document processing, although their capabilities and applications differ. In this blog post, we will look into the fundamental differences between IDP and OCR and their respective commercial benefits.
This blog will walk you through the differences between OCR and IDP and their similarities. It will also discuss how the transformation took place and what the new iCustoms IDP offers.
Optical character recognition was used in the early stages of reading the documents into the computer. To read the text and convert the machine-readable document from scanned photos or handwritten text. It is defined as:
OCR converts handwritten or scanned text into machine-readable text. It recognises and converts letter shapes, patterns, and combinations into editable and searchable data using algorithms and pattern recognition.
The optical character recognition process is straightforward and uses a simple framework. It includes the input, reading, and giving the output in the form of machine-readable language. Its workflow operates on the following steps:
IDP or intelligent document processing, is an advanced form of the OCR feature that uses artificial intelligence to read and extract the data. It is defined as:
“Intelligent document processing software used for innovative document processing. It deliberately takes the documents, reads them, and also extracts the required information upon request.”
| Optical character recognition | Intelligent document processing |
|---|---|
| OCR technology reads scanned or handwritten text. | IDP extracts text and contextual information beyond OCR. |
| OCR only extracts text and does not automate operations. | IDP automates end-to-end document-centric procedures using business process management solutions. |
| Complex document formats for fonts could result in OCR issues. | IDP handles exceptions automatically. It handles OCR exceptions, reducing manual involvement. |
| OCR extracts text and offers searchable and editable data, but it does not provide insights or analytics. | IDP analyses extracted data. |
| OCR works well for simple text extraction. Complex documents, tables, and unstructured data may challenge it. | IDP handles tables, forms, and unstructured data. It better understands context and extracts data from various document types. |
Learn about the special qualities that make iCustoms IDP a revolutionary solution for customs automation. Below is an overview of its features and user-friendly design:
iCustoms IDP is carefully designed to meet the unique requirements of customs automation, yielding precise outcomes.
supports a range of document types, giving users freedom when submitting their data, including PDF files and photos.
With its simple UI, iCustoms IDP guarantees a smooth experience for all users, regardless of their level of expertise.
Customise your experience by selecting one service, such as classification, or by selecting many services in accordance with your particular needs.
The procedure of clearing customs is made more convenient and efficient by the safe storage of documents for later use.
Adaptability is increased by giving consumers the choice to extract fresh data or previously unutilised data.
With the advent of IDP and OCR, document processing and data extraction have received a major technological boost. OCR lays the groundwork for digitising documents and automating basic data extraction; IDP expands upon this with its superior capabilities.
Organisations may make educated decisions about which option is best for them based on an awareness of the key distinctions and benefits of IDP and OCR. IDP and OCR can play critical roles in optimising processes and unlocking the true potential of digital transformation by increasing efficiency, enhancing data correctness, and achieving end-to-end automation.
Capture & Upload Data in Seconds with AI & Machine Learning
Capture & Upload Data in Seconds with AI & Machine Learning
