DeepIDV
The Client
DeepIDV is an AI-powered identity and fraud prevention platform helping organizations verify people, detect deepfakes, and manage identity risk through a unified verification ecosystem. Its technology brings identity verification, biometrics, KYC/KYB, AML screening, deepfake detection, and fraud prevention together through APIs and SDKs built for fast integration and global scale.
With more than 2 million identities verified and coverage across 211+ countries and territories, DeepIDV is advancing how businesses establish trust online while responding to increasingly sophisticated digital fraud and AI-generated threats.
Summary
AI-Powered Identity Verification Platform
Identity Verification, FinTech & Fraud Prevention
Amazon SageMaker, Amazon Textract, Amazon S3, AWS Lambda, AWS IAM, Amazon CloudWatch
Solution Architecture, Delivery Management, AI/Data Engineering, DevOps Engineering
RevStar partnered with DeepIDV to advance its identity verification platform with an AI-powered image enhancement workflow designed to improve text extraction from low-quality identity documents while preserving document integrity and keeping sensitive data within DeepIDV’s AWS environment.
Established a scalable image enhancement and OCR fallback workflow designed to improve verification reliability, expand accessibility across varying image conditions, and provide a measurable framework for evaluating OCR performance, processing time, and cost as verification volumes grow.
The Challenge
As DeepIDV continued scaling its AI-powered identity verification platform, the organization identified an opportunity to further improve verification experiences for users submitting identity documents across a wide range of devices and environments.
Variations in camera resolution, lighting, and image clarity can affect the amount and quality of text extracted from identity documents. DeepIDV sought to make its verification workflow more resilient to these real-world conditions while maintaining the data integrity, security, and efficiency required for sensitive identity information.
The initiative also supported DeepIDV’s broader growth strategy by creating an intelligent fallback path capable of improving accessibility and scaling alongside increasing verification volumes.
The Problem
DeepIDV sought a scalable way to improve optical character recognition reliability when identity documents could not be confidently processed on the first attempt. The solution needed to enhance document clarity without altering underlying identity information, maintain sensitive image processing within DeepIDV’s AWS environment, and integrate efficiently with the company’s existing Amazon Textract workflow.
The Solution
RevStar partnered with DeepIDV to design an AI-powered image enhancement production accelerator that adds an intelligent fallback layer to its existing identity verification workflow.
Using Amazon SageMaker, the solution enhances document clarity before images are reprocessed through Amazon Textract, creating an additional path for recovering text from challenging submissions. The workflow was designed to preserve original document information while improving characteristics such as contrast, sharpness, and text clarity without generative reconstruction or facial alteration.
The AWS-native architecture keeps sensitive identity documents within DeepIDV’s environment while providing a scalable foundation for future verification growth. RevStar also established before-and-after OCR testing, latency measurement, and cost analysis to help DeepIDV evaluate performance and guide future production scaling decisions.
The Team
