Streamline Face Search (1:N) with Didit Verification Links

Effortless 1:N Face Search IntegrationDidit's Verification Links provide a no-code or low-code solution to integrate 1:N Face Search into your identity verification workflows, making it accessible for all businesses.

Enhanced Fraud PreventionLeverage Face Search to proactively identify duplicate accounts, blocklisted individuals, and fraudsters, significantly strengthening your security posture.

Customizable Workflows for PrecisionDesign tailored verification journeys in the Didit Business Console, combining Face Search with other powerful checks like ID Verification and Liveness Detection.

Real-time Insights and AutomationReceive instant updates via webhooks and detailed reports, enabling automated decision-making and minimizing manual review for efficient operations.

In today's digital landscape, robust identity verification is paramount. As businesses scale, the challenge of preventing duplicate accounts, identifying fraudsters, and ensuring user uniqueness becomes increasingly complex. One of the most powerful tools in this fight is Face Search, specifically 1:N (one-to-many) Face Search, which compares a new user's face against a database of previously verified or blocklisted individuals. While incredibly effective, implementing such advanced biometric capabilities can often be a daunting technical task. This is where Didit's innovative Verification Links come into play, transforming complex Face Search integration into a streamlined, no-code or low-code process.

Understanding 1:N Face Search and Its Importance

1:N Face Search, also known as face recognition, involves comparing a newly captured facial image against a large database of existing facial biometrics to find potential matches. This differs from 1:1 Face Match, which simply compares two faces (e.g., a selfie to an ID document photo) to confirm they belong to the same person. For businesses, 1:N Face Search is critical for:

• Fraud Prevention: Detecting if a user has attempted to create multiple accounts or is associated with known fraudulent identities. Didit's Face Search can identify individuals on a blocklist, automatically declining sessions.
• Duplicate Account Detection: Ensuring each user has only one account, which is vital for fair usage policies, loyalty programs, and preventing abuse.
• Enhanced Security: Adding an extra layer of biometric security for access control or high-value transactions.
• Compliance: Meeting stringent KYC/AML regulations by ensuring the uniqueness of verified individuals.

Didit's 1:N Face Search capabilities are designed to be highly accurate and configurable. Our system extracts features from a submitted image, compares them against your database of verified faces, and generates similarity scores. You can configure the similarity threshold to balance between accuracy and the number of potential matches, ensuring it aligns with your risk appetite. Furthermore, options to allow or disallow multiple faces in the search image provide granular control over the verification process.

The Power of Verification Links for Biometric Workflows

Traditionally, integrating advanced biometric features like 1:N Face Search requires significant frontend development to capture facial images, manage liveness checks, and handle data submission. Didit's Verification Links eliminate this barrier entirely. A Verification Link is a secure, unique URL or QR code that directs your end-user to a complete verification flow hosted by Didit. This means:

• No Frontend Development: Didit handles the entire user interface, from guiding users through identity document capture with Didit's ID Verification to performing Passive & Active Liveness checks and capturing the face for 1:N Face Search.
• Rapid Deployment: Launch a robust, secure, and compliant biometric verification process in minutes or hours, not weeks or months.
• Multi-Channel Delivery: Easily send verification requests via email, SMS, in-app messages, or embed QR codes for physical onboarding scenarios.
• Orchestrated Workflows: Design intricate verification journeys in the Didit Business Console, combining Face Search with other essential checks like AML Screening & Monitoring, Proof of Address, and Phone & Email Verification.

This approach allows businesses of all sizes, even those without extensive developer resources, to deploy sophisticated identity verification and fraud prevention measures with ease.

Configuring Your Face Search Workflow with Didit

Implementing 1:N Face Search using Didit's Verification Links is straightforward. The process centers around configuring your workflow in the Didit Business Console:

1. Design Your Workflow: In the Didit Business Console, use the no-code editor to build a workflow. This workflow defines the exact sequence of checks your users will undergo. For 1:N Face Search, you'll typically include an ID Verification step (which captures a reference face) and then a Face Search step configured to search across your approved identities. You might also include Passive & Active Liveness to ensure the user is present and real.

2. Generate a Verification Link: Once your workflow is defined, you can generate a unique session for a user. This can be done directly from the Business Console for manual processes or via a single API call to the /v3/session/ endpoint for automated integration. The API response will provide the unique verification url.

3. Share the Link: Distribute the generated URL to your user. They will click the link, complete the Didit-hosted verification flow, and their captured biometric data will be used for the 1:N Face Search.

4. Receive Real-time Results: Didit sends automated updates to your configured webhook URL as the user progresses and when the final verification result, including the Face Search outcome, is ready. The Face Search report provides details like total_matches, similarity_percentage for each match, and any relevant warnings such as NO_FACE_DETECTED or FACE_IN_BLOCKLIST.

This modular approach allows you to seamlessly integrate advanced biometrics without the heavy lifting of development, ensuring compliance and security from day one.

How Didit Helps

Didit is the AI-native, developer-first identity platform that makes managing crucial identity checks like 1:N Face Search simple and efficient. Our platform is built on an open, modular architecture, allowing you to compose verification, orchestrate risk, and automate trust globally and at scale. With Didit, you get:

• Free Core KYC: Start verifying identities without upfront costs, making enterprise-grade identity solutions accessible to businesses of all sizes.
• AI-Native Face Search: Our 1:N Face Search and 1:1 Face Match capabilities are powered by advanced AI, ensuring high accuracy in detecting duplicates and identifying blocklisted individuals.
• Seamless Verification Links: Launch complete identity verification flows, including advanced biometrics, in minutes with our no-code Verification Links, eliminating the need for complex frontend development.
• Comprehensive Fraud Prevention: Combine Face Search with Didit's Passive & Active Liveness detection, ID Verification (OCR, MRZ, barcodes), and other tools to build multi-layered fraud defenses.
• Orchestrated Workflows: Our no-code Business Console allows you to design and automate complex identity workflows, tailoring the verification journey to your specific needs and risk profiles.
• Developer-First Approach: For those who prefer API integration, Didit offers clean APIs and comprehensive documentation, alongside an instant sandbox for testing.

Didit empowers you to prevent fraud, ensure compliance, and provide a frictionless user experience by simplifying the integration and management of critical identity verification steps like 1:N Face Search.

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