Intelligent Document Processing (IDP) Solution | Automated Document Processing Software - InferIQ
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Generative AI-Powered Intelligent Document Processing

Extract unstructured data from PDFs, handwritten forms, images, and scanned documents with InferIQ.

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Intelligent Document Processing (IDP)

Extract unstructured data from PDFs, handwritten forms, images, and scanned documents with InferIQ.

20-30 Sec

Save Significant Time

Reduce Data Extraction time from 24-48 hours to 20-30 seconds.

75%

Reduce Costs

Reduce the expense of manual document processing by 75%

99%

Data Accuracy

Achieves over 99% accuracy hence significantly reducing data errors and improving productivity.

Common Problems and Bottlenecks Solved by InferIQ

   ​Manual errors that compromise data integrity

   ​​Time and complexity of processing unstructured data

   ​​​External/Internal application compatibility issues that lead to Increased costs

   ​Manual workforce costs and resource management challenges

   ​​Inability to scale during seasonal/event-driven influxes

   ​Human worker burnout and exhaustion with manual, and repetitive tasks

AI-Powered Intelligent Data Extraction

Idexcel's new revolutionary framework InferIQ comes with built-in Generative AI capabilities that enable quick extraction and processing of unstructured data from PDFs, handwritten forms, images, and scanned documents. InferIQ utilizes AWS Textract a productive machine learning tool, and our intelligent solution's storage and security protocols are one of the finest in the market.

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Extract Data from any unstructured or structured documents

With cognitive capabilities, InferIQ sees the scanned documents the same way the human mind reads. Capture, convert and analyse data from any JPG, PNG, TIFF, or PDF documents. With the InferIQ solution, an enormous number of paper-based documents in different formats, varying layouts, and multiple languages can be digitized into various formats that can be stored and analyzed more easily.

How it works

With the InferIQ solution framework, an enormous number of paper based documents in different formats, varying layouts, and multiple languages can be digitized into various formats that can be stored and analyzed more easily.

Key Business Advantages of InferIQ

With InferIQ, businesses can streamline their document processing workflows and improve overall efficiency. InferIQ achieves over 99% accuracy hence significantly improving productivity, reducing data errors, and costs.

Generative-AI Capabilities

Enhanced Data Value

Language Agnostic
Extraction Power

Improve Compliance

Faster Operations to
Improve Productivity

Case Studies

Read the below Case studies and see how InferIQ solutions reduced data extraction Cost, Time, and Improved Accuracy and Efficiency.

Case Study

Empowering Structured Information Extraction from Tax Forms

As unstructured document processing is critical in the financial industry, organizations are challenged with implementing an efficient way to extract data into a structured format.

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Case Study

Fast Forward from Financial
Statements to Lending Loans

For Banks and Financial Lenders, a critical process in assessing credit risk is obtaining and analyzing the borrower’s financial statements to calculate financial ratios (also known as financial spreading).

Read More 
Explore Our Case Studies

Blog

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Blog

5 Ways Automated Bank Statement Extraction Benefits Loan Underwriting

Accurate and timely loan underwriting is key to keeping up with borrower demands and minimizing risk. A crucial part of the underwriting...

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Blog

How Generative AI Can Enhance Accuracy in Financial Statement Extraction

In today’s financial sector, handling large volumes of unstructured data—especially financial statements—is essential yet challenging...

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Blog

How to Extract Data from Financial Statements

Extracting data from financial statements is a crucial task for banks and financial institutions. Financial statements provide key insights into a company’s performance, financial health, and operational efficiency...

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We would like to know how the InferIQ can solve the data extraction challenges and enable new business outcomes.

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