Non-Document Verification in Bangladesh: NID-Based Identity Checks

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

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Non-document verification confirms identity without physical document uploads by combining a national identification number, a live selfie, biometric matching, and demographic checks against an authoritative database. In Bangladesh, this approach can rely on the Election Commission’s NID database, which reportedly covers about 95% of adults and contains biometric and personal data linked to 10- or 17-digit NID numbers, including newer Smart NID infrastructure. A typical process involves entering an NID number, completing AI-based liveness detection, matching the selfie to the government-recorded photo, validating demographic details, and receiving an automated approval, rejection, or review decision, often within 30 seconds. The method is presented as supporting Bangladesh Bank KYC and anti-money-laundering requirements, reducing onboarding friction for mobile financial services, improving remittance controls, and advancing financial inclusion. Didit markets an API-based service for this process, claiming low per-check pricing, free monthly checks, NID database validation, liveness detection, AML screening, real-time decisions, and support for verification across more than 220 countries and territories.

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