Intelligent Document Processing (IDP)

Optical Character Recognition (OCR) + Deep Learning +

Robotic Process Automation (RPA) + Human-in-the-loop (HITL)

Our Offerings
Intelligent document processing

>97%

accuracy can be achieved by AI-based Intelligent Document Processing

IDP Offerings

OCR

RPA

HITL

ML

Intelligent document processing
Intelligent Document Processing (IDP) processes documents with greater speed and accuracy than traditional Optical Character Recognition (OCR) technology.
An IDP solution uses an integrated technology set of Optical Character Recognition (OCR), Human-in-the-Loop (HITL), Machine Learning (ML), and Robotic Process Automation (RPA). IDP can handle multiple document types and process any type of structured or semi-structured documents, ranging from invoices to customer forms to patient records.

Optical character recognition (OCR)

analyzes an image, detects whether it contains text based on patterns, and extracts that text into a machine-readable format. It can also help convert handwritten characters into a machine-readable format.

Machine learning (ML)

is a computer system’s ability to independently improve its own performance through data exposure, outcomes, and a feedback loop. Patterns in vast volumes of data can be detected and interpreted using machine learning.

Human-in-the-loop (HITL)

brings human intelligence into the loop to decide on exceptions, approvals, and escalations, which enables seamless automation of complex processes. This provides training for machine learning algorithms and enhances throughput.

Our Process

Straight-through processing

Capture

  • Multiple sources
  • Multiple document types

Recognize

  • Customer / country detection

Classify

  • Image-based
  • Content-based
  • Rule-based

Validate

  • Automatic rule validation
  • External data matching

Verify

  • Human intelligence to manually correct errors

Integrate

  • Input structured data into target system (e.g. ERP)

OCR

Human in the loop (HITL)

OCR vs. IDP

IDP solutions offer more resiliency when it comes to changing document templates and can process documents with greater accuracy than OCR.

OCR/Template-Based Solution

IDP Solution

Document images are converted into machine-encoded text through OCR, which extracts template-specific fields.
OCR may be used to convert document images into digital formats, but it uses machine learning or deep learning to extract specific information.
It uses rule-based or template-based extraction. For each template type, the system needs to be trained by users.
The extraction does not depend on the template but content. Minimal training may be required for minor template changes.
Manual review is required for each converted document unless the documents inputted are standard in quality or positional elements.
Straight Through Processing (STP) can be enabled after the system is trained. The percentage of STP achieved can vary.
Cannot process unstructured documents, such as contracts and emails.
With the help of Natural Language Processing (NLP) capabilities, the system can process complex unstructured documents and can also create summaries.

OCR/Template-Based Solution

Document images are converted into machine-encoded text through OCR, which extracts template-specific fields.
It uses rule-based or template-based extraction. For each template type, the system needs to be trained by users.
Manual review is required for each converted document unless the documents inputted are standard in quality or positional elements.
Cannot process unstructured documents, such as contracts and emails.

IDP Solution

OCR may be used to convert document images into digital formats, but it uses machine learning or deep learning to extract specific information.
The extraction does not depend on the template but content. Minimal training may be required for minor template changes.
Straight Through Processing (STP) can be enabled after the system is trained. The percentage of STP achieved can vary.
With the help of Natural Language Processing (NLP) capabilities, the system can process complex unstructured documents and can also create summaries.

Our Technology

Insights from our experts

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