Additional verification checks
Updated on 16.01.26
4 minutes to read
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Overview
Additional verification checks provide a layer of granular, data-point-specific validation on top of the core ID Verification process. These checks allow you to enforce precise business rules and compliance requirements by validating specific fields extracted from identity documents.
This suite of checks is designed to prevent fraud and ensure data accuracy by cross-referencing user-provided information against data extracted via OCR. By combining these specific checks with SEON’s 900+ unique fraud signals, you can build a highly customized and robust verification workflow that assesses not only data validity but also the user's true intent.
Types of additional verification checks
These checks offer precise control over your verification workflow.
| Check | What it validates |
| Date of birth (DoB) verification | Strictly validates that the provided Date of Birth exactly matches the DOB extracted from the identity document. Returns a clear PASS/FAIL result. |
| Postal code validation | Matches a reference postal code against the postal code extracted from the document's address block. |
| State/region validation | Restricts document acceptance to specific states or regions within a country. Ideal for geo-specific compliance. Supported in US, CA, AU, MX, IN, PK, BR. |
| Age verification | Automatically calculates the user's age from the extracted DOB and validates it against a configurable minimum or maximum age threshold (e.g., 18+). |
| Name check | Ensures the provided name matches the name on the document using fuzzy matching (Levenshtein distance). An optional strict mode can be enabled for exact family name matching. |
Use cases
Age-restricted product onboarding: Automatically enforce age requirements (e.g., 18+, 21+) for gaming, alcohol or financial services by using the Age Verification check.
Geo-specific compliance: Limit new user sign-ups to specific states or regions where you are licensed to operate using the State/Region Validation check.
High-accuracy data matching: Enforce exact DOB matching for high-risk financial products or services to ensure data integrity.
Preventing minor data entry errors: Use the fuzzy matching Name Check to allow for small typos during data entry while still ensuring the core identity matches.
API and rule engine integration
Additional verification checks are configured and managed within SEON. The results of each check are available in the API response for the verification session, allowing you to build powerful, granular rules in the SEON Scoring Engine.
For example, you could create a rule that automatically flags any user who fails the date of birth verification check, even if the rest of the document is valid.
