HCLTech's Document HyperAutomation Framework (iDoRAN)

and text mining capabilities to uncover critical business insights. With its

modular components, iDoRAN facilitates the automated correction,

extraction, validation, enrichment, classification, and analysis of images

and documents. With innovation at its core, it helps companies significantly

improve operational efficiency, achieve cost savings, and enhance the

customer experience.

Solution benefits:​

• Uncover critical

business insights from documents​

• Reduction in

manual efforts, leading to a decrease in error probability​

• Enhancement in

process time and efficiency, ultimately leading to increased profitability

Key features:​

• Data extraction and

classification: Extracts and classifies

data from unstructured documents like PDFs, images, and videos

for insightful business analysis.​​

• Enhanced image clarity and

metadata extraction: Enhances

image clarity and extracts business metadata

from various documents, including CAD drawings and engineering

manuals.​​

• AI-powered artifact approval

process: Utilizes AI

for image/video extraction, validation, and feedback, streamlining

the artifact approval process.​​

• Automated image super resolution

and drawing comparison: Employs iDoRAN for

image super-resolution and drawing comparison, enhancing

analysis with high-resolution images and easy comparison of drawings.​

Solutions built

using iDoRAN:​

• Invoice Extraction and

Insights​

• Contract Abstraction and

Validation​

• Engineering Drawing

Extraction​

• Unstructured Engineering

Data Analytics​

• Document Alteration

Detector Discovery​

• Document Translation​
• Document Automation

Azure Services consumed:​

• Azure CDN, AKS​
• Azure AD, Blog Storage​
• Azure VMs, Azure LB​
• Azure API_GW​​