Seamless Face Match with Didit Verification Links
Implement robust 1:1 Face Match verification effortlessly using Didit's Verification Links. This powerful combination allows for secure identity confirmation against ID documents without extensive coding, accelerating your time.

Effortless IntegrationDidit Verification Links enable rapid deployment of 1:1 Face Match without requiring any frontend development, allowing businesses to launch secure verification flows in minutes.
Enhanced Security and AccuracyBy comparing a live image with an ID document's photo, Didit's Face Match ensures the person presenting the document is its rightful owner, supported by configurable thresholds for review and decline.
Streamlined User ExperienceThe entire verification process, from ID document scanning to liveness checks, is hosted by Didit, providing a smooth and secure journey for end-users across multiple channels.
Didit's AdvantageDidit offers a modular, AI-native platform with Free Core KYC, allowing businesses to build custom, secure, and scalable identity verification workflows, complete with real-time updates and low-code API integration.
In today's digital-first world, verifying user identities accurately and efficiently is paramount for businesses across all sectors. From preventing fraud to ensuring compliance, the ability to confirm that a user is who they claim to be is non-negotiable. One of the most powerful tools in this arsenal is 1:1 Face Match, a biometric verification technique that compares a user's live facial image against a photo on their identity document. When combined with Didit's innovative Verification Links, implementing this critical security measure becomes remarkably simple and fast.
Understanding 1:1 Face Match in Identity Verification
1:1 Face Match is a core component of modern identity verification. It works by taking a live selfie or video of a user and comparing it to the facial image extracted from their ID document (like a passport or driver's license). The goal is to determine if both images belong to the same individual. This process is crucial for:
- Fraud Prevention: It stops imposters from using stolen or fabricated documents.
- Identity Confirmation: It ensures the person physically present is the legitimate owner of the presented document.
- Compliance: Many regulations, especially in financial services, require strong identity proofing that often includes biometric matching.
Didit's 1:1 Face Match technology provides a similarity score, typically ranging from 0-100, indicating how closely the two faces match. Businesses can configure specific thresholds for this score: a 'review threshold' for flagging sessions for manual inspection and a 'decline threshold' for automatically rejecting verifications that fall below a certain level of similarity. This granular control allows for tailored risk management based on your specific business needs and risk appetite.
The Power of Didit Verification Links
Imagine launching a complete identity verification flow, including robust 1:1 Face Match, in minutes without writing a single line of frontend code. This is precisely what Didit Verification Links enable. A Verification Link is a secure, unique URL that directs your end-user to a Didit-hosted verification flow. You design this flow using Didit's no-code Business Console, specifying the exact sequence of checks required, such as ID Document Scan followed by a Liveness Check and then 1:1 Face Match.
The beauty of Verification Links lies in their simplicity and versatility:
- No Frontend Development: Didit handles the entire user interface, data capture, and security, freeing your development team from building complex verification UIs.
- Rapid Deployment: Create and distribute links instantly, accelerating your time to market for new services or user onboarding.
- Multi-Channel Delivery: Share links via email, SMS, in-app messages, or even as QR codes for physical onboarding scenarios.
- Orchestrated Workflows: Leverage Didit's powerful workflow engine to customize the verification journey precisely.
This integration path is perfect for businesses seeking speed, efficiency, and minimal development overhead while maintaining the highest standards of security and compliance.
Integrating 1:1 Face Match with Verification Links
Implementing 1:1 Face Match using Didit Verification Links is a straightforward process. First, you configure your desired verification workflow in the Didit Business Console. This workflow will include an ID Verification step to capture the document and extract the portrait, followed by a Passive or Active Liveness check to ensure the user is present and real, and finally, the 1:1 Face Match to compare the live liveness image with the document photo.
Once your workflow is defined, you can generate a Verification Link. This can be done either directly from the Business Console for manual processes and quick starts, or programmatically via a simple API call. The API approach allows for full automation, where your application makes a POST request to Didit's /v3/session/ endpoint, providing your workflow_id and any relevant vendor_data (like a user ID). Didit then returns a unique URL, ready to be sent to your user.
As the user progresses through the verification steps, Didit provides real-time updates to your configured webhook URL. This means you'll know instantly when a user starts, completes, or abandons the process, and critically, when the final verification result, including the Face Match score and status, is available. This enables you to automate downstream decisions based on the verification outcome, minimizing manual review.
Handling Face Match Outcomes and Warnings
Didit's 1:1 Face Match not only provides a similarity score but also detailed reports and warnings to help you understand the verification outcome. The report includes the match status (Approved, Rejected, In Review), the score, and temporary URLs for the source (liveness) and target (document) images for audit purposes. These URLs are secure and expire after 60 minutes, ensuring biometric data privacy.
Key warnings you might encounter include LOW_FACE_MATCH_SIMILARITY, indicating a potential mismatch, or NO_REFERENCE_IMAGE if the document photo couldn't be extracted. Didit allows you to configure how these warnings impact the overall verification status. For instance, a low similarity score might automatically trigger an 'In Review' status, prompting a manual compliance check, while a score below a certain threshold could lead to an automatic 'Declined' status. This flexibility ensures that your fraud prevention measures are robust and tailored to your specific risk profile.
How Didit Helps
Didit stands out as the premier solution for implementing 1:1 Face Match and comprehensive identity verification through Verification Links. Our AI-native, developer-first platform offers unparalleled flexibility and ease of use. With Didit's modular architecture, you can plug and play identity checks like ID Verification, Passive & Active Liveness, and 1:1 Face Match into custom workflows tailored to your exact needs. Our no-code Business Console empowers non-technical teams to design and manage complex verification journeys, while clean APIs and an instant sandbox cater to developers seeking deep integration.
Didit's commitment to automation over manual review streamlines your operations, reducing costs and improving user experience. We provide Free Core KYC, meaning you can get started with essential identity checks without upfront investment. Our transparent pay-per-successful-check pricing model and no setup fees further underscore our dedication to providing accessible and scalable identity solutions. By leveraging Didit Verification Links, businesses can deploy secure, compliant, and highly effective 1:1 Face Match processes faster than ever before, dramatically enhancing their fraud prevention capabilities and ensuring trust in every interaction.
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