Achieve High-Accuracy 1:1 Face Match with Didit's Native SDKs

Seamless IntegrationDidit's Native SDKs streamline the integration of high-accuracy 1:1 Face Match into mobile applications, offering superior performance and access to device capabilities like optimized camera and NFC.

Robust Fraud PreventionThe 1:1 Face Match process compares a user's live image with their ID document, effectively combating identity fraud and ensuring the document's legitimate owner is present.

Configurable Verification WorkflowsDidit provides granular control over verification outcomes with configurable review and decline thresholds for face match scores, allowing businesses to tailor risk management to their specific needs.

AI-Native and Developer-First SolutionDidit's AI-native platform delivers a modular, developer-first approach to identity verification, offering Free Core KYC and no setup fees, making advanced biometric security accessible and scalable.

The Critical Role of High-Accuracy 1:1 Face Match in Identity Verification

In today's digital landscape, verifying a user's identity is paramount for security, compliance, and trust. A cornerstone of this process is high-accuracy 1:1 Face Match. This technology compares a live facial image (captured during a verification session) with a reference image, typically extracted from an identity document like a passport or driver's license. The goal is to confirm that the person presenting the document is indeed the rightful owner, preventing impersonation and synthetic identity fraud. Didit's 1:1 Face Match capabilities, integrated within its comprehensive ID Verification suite, provide a robust solution for this critical step.

Without reliable face matching, even the most advanced document verification can be undermined by fraudsters using stolen or forged documents. Didit's AI-native approach ensures that this comparison is not only accurate but also fast, delivering a seamless user experience while maintaining stringent security standards.

Integrating 1:1 Face Match with Didit's Native SDKs

For businesses aiming to provide the best possible user experience and leverage full device capabilities, opting for native SDK integration is crucial. Didit offers official Native SDKs for iOS, Android, React Native, and Flutter. These SDKs are designed to handle the complexities of camera permissions, NFC reading (for ePassports/eIDs), and Passive & Active Liveness detection out of the box, ensuring an optimized workflow.

Integrating Didit's React Native SDK, for example, allows developers to embed advanced identity verification directly into their mobile applications with ease. This provides a superior user flow compared to WebView-based integrations, leading to higher conversion rates and a more secure process. The SDKs facilitate the capture of high-quality facial images and seamlessly transmit them to Didit's backend for 1:1 Face Match analysis, returning a similarity score and clear verification status.

Understanding Face Match Reports and Warnings

Didit's 1:1 Face Match process generates a detailed report, providing transparency and actionable insights. The core of this report is the face_match object, which includes a status (Approved, Rejected, In Review), a similarity score (ranging from 0-100), and temporary URLs for the source and target images. The score indicates how closely the live image matches the reference image. A higher score signifies a stronger match.

Crucially, the report also includes warnings. These warnings highlight potential issues during the face matching process. For instance, a LOW_FACE_MATCH_SIMILARITY warning indicates that the facial features don't closely match, suggesting a potential identity mismatch. Another critical warning is NO_REFERENCE_IMAGE, which automatically declines the verification if a reference image from the ID document is unavailable.

Businesses can configure how these warnings and scores are handled. Didit allows setting configurable thresholds:

• Review threshold: Sessions with scores below this threshold can be flagged for manual review.
• Decline threshold: Sessions with scores below this threshold are automatically declined, ensuring immediate action against high-risk attempts.

This granular control empowers businesses to balance security with user experience, tailoring their risk appetite to specific use cases. All image URLs provided in the reports are temporary and expire after 60 minutes for enhanced security, minimizing the retention of biometric data on client servers.

Enhancing Security with Liveness Detection and Orchestrated Workflows

While 1:1 Face Match is powerful, its effectiveness is significantly amplified when combined with Passive & Active Liveness detection. Liveness detection ensures that the person presenting the face is a real, live human being and not a spoofing attempt using a photo, video, or deepfake. Didit's Liveness capabilities work in tandem with 1:1 Face Match to provide a comprehensive fraud prevention solution.

Beyond individual checks, Didit's platform provides orchestrated workflows through its no-code Business Console. This allows businesses to combine 1:1 Face Match with other identity primitives like ID Verification (OCR, MRZ, barcodes), Proof of Address, and AML Screening & Monitoring. This modular architecture means businesses can easily build and adapt their KYC (Know Your Customer) and KYB (Know Your Business) processes to meet evolving regulatory requirements and combat sophisticated fraud schemes. For instance, age-restricted platforms can leverage 1:1 Face Match alongside Didit's privacy-preserving Age Estimation to ensure compliance.

How Didit Helps

Didit offers an unparalleled solution for high-accuracy 1:1 Face Match, integrated seamlessly into its AI-native, developer-first identity platform. Our Native SDKs for iOS, Android, React Native, and Flutter ensure superior performance and user experience by leveraging device capabilities for optimized camera, NFC, and Passive & Active Liveness detection. This robust biometric comparison ensures that the person presenting an ID is indeed its rightful owner, significantly reducing fraud risks.

Didit's modular architecture allows businesses to easily compose verification workflows, combining 1:1 Face Match with other powerful tools like ID Verification, AML Screening, and Proof of Address. Our configurable thresholds provide precise control over verification outcomes, enabling tailored risk management. With Didit's Free Core KYC, businesses can start verifying identities without upfront costs, benefiting from an AI-native platform designed for global scale and automation over manual review. There are no setup fees, making advanced identity verification accessible to all.

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