Inquiry icon START A CONVERSATION

Share your requirements and we'll get back to you with how we can help.

Thank you for submitting your request.
We will get back to you shortly.

Drive Business Process Automation with Intelligent Document Processing

AI-powered document processing can extract information from semi-structured and unstructured documents with accuracy. Let’s help you move beyond traditional document extraction techniques and enable end-to-end process automation.

Drive Business Process Automation with Intelligent Document Processing
Intelligent Document Processing (IDP)

Intelligent Document Processing (IDP)

IDP enables businesses to process structured, semi-structured, and unstructured content with zero or minimal manual effort. With this kind of intelligent automation, enterprises can achieve transformational efficiency in document processing resulting in a strategic boost to their business goals.

How Intelligent Document Processing
Streamlines Business Processes

Business documents can include emails, scanned images, videos, PDFs, or Word files. Automated data extraction aids in processing large quantities of information contained in such unstructured formats eliminating the need for manual data entry.

AI technologies such as machine learning, deep learning, natural language processing, and computer vision are employed to capture, extract, and process information in an IDP system. The self-learning system enables accurate extraction and validation before sending the data to other enterprise systems for downstream processing.

Faster turnaround with continuously improving accuracy leads to process efficiency and higher customer satisfaction.

Stages in Intelligent Document Processing

Input
1. Input

Forms / test reports / ID documents received as emails, JPEGs, PDFs, DOC files

Pre-processing
2. Pre-processing

Noise removal, deskewing, thresholding to clean up input files

Detection
3. Detection

Contour detection, cropping, segmentation

Extraction
4. Extraction

OCR, Machine Learning, NLP, Deep Learning

Post-processing
5. Post-processing

Domain-specific business logic, RPA, ERP integration

Stages in Intelligent Document Processing

Input
Pre-processing
Detection
Extraction
Post-processing

Use Cases for Intelligent Document Processing

IDP in Banking

Banks deal with countless document-based workflows that involve data entry and processing in huge volumes. With the help of IDP, they can complete typical processes such as customer onboarding, mortgage applications, or KYC document verification in a much shorter time and ensure greater customer satisfaction.

IDP in Healthcare

The administrative overhead at hospitals in processing documents such as admission forms, health insurance claim forms, consent forms, and such are enormous. Adopting IDP can expedite processing and provide a trouble-free experience for patients as well as hospital staff.

IDP in Logistics

The end-to-end bills of lading processes such as receipt of bills, bill verification, and delivery confirmation can be managed and processing time cut down with IDP. Intelligent data processing can be used to extract key data points from paper documents, integrate with enterprise systems, and automatically generate emails to concerned parties.

IDP in Insurance

Claim forms have to be verified against policy documents for eligibility and extent of coverage. Supporting documents have to be verified as well before a claim can be accepted and payment determined. Adopting intelligent document processing, insurers can automate the claims adjudication process.

IDP in Banking

Banks deal with countless document-based workflows that involve data entry and processing in huge volumes. With the help of IDP, they can complete typical processes such as customer onboarding, mortgage applications, or KYC document verification in a much shorter time and ensure greater customer satisfaction.

IDP in Healthcare

The administrative overhead at hospitals in processing documents such as admission forms, health insurance claim forms, consent forms, and such are enormous. Adopting IDP can expedite processing and provide a trouble-free experience for patients as well as hospital staff.

IDP in Logistics

The end-to-end bills of lading processes such as receipt of bills, bill verification, and delivery confirmation can be managed and processing time cut down with IDP. Intelligent data processing can be used to extract key data points from paper documents, integrate with enterprise systems, and automatically generate emails to concerned parties.

IDP in Insurance

Claim forms have to be verified against policy documents for eligibility and extent of coverage. Supporting documents have to be verified as well before a claim can be accepted and payment determined. Adopting intelligent document processing, insurers can automate the claims adjudication process.

Robotic and Cognitive Automation for the Insurance Industry

Robotic and Cognitive Automation for the Insurance Industry

Download Brochure

Success Stories

Want to apply IDP in your business context?