case study

TrustStamp: Enhancing the Accuracy of Identity Verification with Amazon Textract

Information Technology & Services Sports

Business Impacts


extraction accuracy for processed documents


latency reduction for quicker turnaround time

Customer Key Facts

  • Country : Atlanta, Georgia, United States.
  • Industry : Software Development

Problem Context

Trust Stamp, a leading provider of AI-based identity services across various industries, was planning to shift from their current solution for extracting identity information. The goal of this pivot was to further improve the accuracy of the information captured while reducing the high maintenance costs associated with their current solution


  • Had issues w.r.t the accuracy and processing turnaround time of the extracted information
  • Maintaining their existing solution that was labor-intensive, leading to higher costs

Technologies Used

Amazon Textract (AnalyzeID API)

Amazon Textract (AnalyzeID API)

AWS Lambda

AWS Lambda

Amazon Simple Queue Service (SQS)

Amazon Simple Queue Service (SQS)

Amazon S3

Amazon S3

Amazon Aurora RDS

Amazon Aurora RDS

Enabling identity information extraction from different ID Documents


  • Quantiphi developed a custom solution enabling the extraction of identity information from different ID Documents issued by the US Government - driver's licenses, state IDs, and passports.
  • Quantiphi used a sample size of 171 documents and categorized them into three groups according to their visual appearance and image quality. Additionally, we undertook a comprehensive comparative analysis of the output with the existing solution and generated reports for each type of ID document.


Successfully demonstrated our expertise in document processing and text extraction, resulting in quicker processing times with improved accuracy of 16.5% from the existing solution.

"Quantiphi assisted in demonstrating the possibilities of a new Amazon technology and testing the value of the solution. Quantiphi's team was extremely professional. They came prepared for every meeting and completed all of their deliverables on time. They interfaced well with our team and met all of the program objectives."

Scott Francis, Chief Technology Officer

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