Accelerated Document Processing - Amazon Textract

Get quick, accurate, automated, and intelligent document processing, using Amazon Textract

Manual data entry is a major challenge companies face every day when trying to extract useful data from scanned documents, such as PDFs and images, because it is error prone, expensive, and time-consuming. Simple optical character recognition (OCR) software and APIs for invoice processing and customer-form extraction, for example, requires manual configuration, such as picking up a sample document, configuring fields, testing for accuracy, and validating results for each type of document. 

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. It goes beyond simple OCR to identify, understand, and extract data from forms and tables.

MothersonSumi Infotech & Designs Ltd. (MIND) offers a solution for an accelerated pipeline using Amazon Textract, which helps customers to reduce cycle time, i.e., setup time with additional functionality, like human loop for manual intervention and Amazon Augmented AI (Amazon A2I) enablement, which improves the overall quality of data extraction. Customers can use any scanned documents, including invoices, financial, legal, or medical documents, for easy analysis and review. Pre-processing of these documents is done in AWS Lambda using a function present for image processing in Pillow/Python Imaging Library (PIL). Additional post-processing is done by using validation checks, i.e., comparing summation of individual values extracted vs. total extracted, and implementing custom business rules.

Amazon Textract is a HIPAA-eligible service, which means it can be used to process protected health information (PHI) extracted from images to power healthcare applications. Also, custom redaction algorithms are used to mask personally identifiable information (PII) information in customer documents, which further enhances the security and privacy.


AWS Partner Network | Competency


India, Singapore, United Kingdom, United States


Save overall cycle time

Quickly access documents for analysis and review as the manual process is automated

Get high-quality output

AI-based extraction of text increases accuracy and quality of review and analysis

Save on manual efforts and cost   

With human effort reduced, associated costs are too 

Reap benefits fast

Benefits are realized in days or weeks

  • How it works
  • When companies process a large number of scanned documents, such as PDFs and images, the main challenge they face every day is extracting useful data. This is because the process is usually done by manual data entry, which is error-prone, expensive, and time-consuming. Amazon Textract solves this challenge by quickly processing the documents with high-quality output and lower costs, making document processing much easier and accelerated, with features like pre-processing, post-processing, and the option of human review of outputs using the Amazon Augmented AI (A2I) interface.
    MIND consultants work with business teams to understand key elements from business documents and standard rules to validate extracted data, and will build a customized pipeline using its Accelerated Document Processing solution. The MIND team will test and verify solutions in partnership with customers, so that business objectives are met and end-customers are delighted. MIND will deploy its solution in a customer's AWS account.
  • Key activities
  • 1) Identify Business Requirements

    MIND will conduct workshops with the customer to understand requirements

    2) Pre-Process and Validate Data

    MIND will perform data cleaning and data exploration on a sample data set

    3) Develop a Customized Pipeline

    This pipeline will be built from scratch by integrating AWS services like AWS Lambda, Amazon Textract, and Amazon A2I

    4) Verify and Test the Customized Pipeline

    MIND will verify the solution output for the sample test case and documents

    5) Deploy the Solution

    MIND will deploy the customized pipeline into the customer's AWS account

    6) Process Historical Documents

    MIND will assist in processing historical documents

    7) Implement the Customer Solution

    MIND will assist the customer to use the solution for its intended purpose

    8) Provide Ongoing Support

    MIND can provide ongoing managed support of the service for operations

  • Customer contribution
  • Identify Single Point of Contact

    Appoint project sponsor with participation from technical and business leadership

    Provide Documents for Extraction

    Provide documents in a structured form for processing and some key samples

    Provide Current Document-Processing Overview

    Provide an overview of how documents are processed, analyzed, reviewed, and stored

    Provide System Access and Authorization

    Provide authorization and access to relevant and required systems and assets

    Verify and Test the Customized Pipeline

    Identify critical cases for verification and testing

    Production Environment Access

    Provide access to production environment for deployment

    Verify and Test Historical Documents

    Help with verification and testing of historical documents

    Accept the Solution

    Provide handoff team to accept the solution provided

  • About this consultant
  • MothersonSumi INfotech & Designs Ltd (MIND) is a global technology company that offers a consulting-led approach with an integrated portfolio of industry-leading solutions that encompass the entire enterprise value chain. MIND's technology-driven products and services are built on two decades of innovation, with a future-focused management philosophy, a strong culture of invention and co-innovation, and a relentless focus on customer-centricity. 

    An Software Engineering Institute (SEI) Capability Maturity Model Integration (CMMI) Level 5 company, MIND has delivered services to over 200 customers in 41+ global locations across all continents. MIND is a division of the Motherson Group, a manufacturer of components for the automotive and transport industries worldwide with 135,000 employees across the globe. Its name signifies a relationship of deep trust like that of a mother and child. Trust is sacrosanct in all relationships at Motherson while working towards its vision of being a globally preferred solutions provider.

    MIND is an AWS Advanced Tier Services Partner with the AWS DevOps, Education, Microsoft Workloads, Machine Learning, and SAP Competency designations, as well as the Amazon EMR, Amazon RDS, AWS WAF, Amazon EC2 for Windows Server, and Amazon CloudFront Service Delivery designations. MIND’s certified AWS machine learning (ML) specialists, data specialists, and architects help customers worldwide to realize their business objectives.

  • Architecture diagram

AWS Partner Highlights

MothersonSumi INfotech and Designs Limited’s AWS validated qualifications, customer references, and office locations.

AWS DevOps Competency

MIND has demonstrated deep AWS technical expertise and proven customer success delivering DevOps solutions on AWS.

Amazon EMR Delivery

MIND has demonstrated deep AWS technical expertise and proven customer success delivering Amazon EMR.

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