Didit

Face Match and IP Analysis form the second major feature group. Face Match compares the portrait on the presented ID with the selfie captured during the liveness step, producing a similarity score from 0 to 100. This prevents identity theft where someone uses another person’s document. IP Analysis checks the originating connection for VPN, proxy, Tor, and hosting provider usage, and assigns an abuse risk score. Together, these signals give a real-time assessment of whether the user is who they claim to be and whether their connection is suspicious. Didit scores 200+ fraud signals in real time on every session, including device fingerprint, behavioral patterns, and geolocation anomalies. The result is a multi-layered defense against synthetic identity fraud, account takeover, and bot attacks, all in under two seconds.

The Workflow Builder and real-time fraud signals add a third layer of control. From the Business Console, users drag and drop verification modules into custom flows, set conditional branching based on risk scores, and run A/B tests — all without writing code. This means a developer can start with a basic KYC flow, then gradually add AML screening, database validation, or custom questions as compliance requirements evolve. The platform also includes blocklisting, duplicate detection, and case management for manual reviews. Integration is flexible: embed via Web, iOS, Android, React Native, or Flutter SDK; redirect to a hosted page; or simply send a verification link via email, SMS, or WhatsApp. There is even a ready-to-use integration prompt for AI coding agents like Claude Code, Cursor, and Devin that provisions the entire setup in one session.

How the product works is straightforward: create a workflow once via the dashboard or POST /v3/workflows/ endpoint, selecting the four bundled features (ID_VERIFICATION, LIVENESS, FACE_MATCH, IP_ANALYSIS). Then, for each user, create a session via POST /v3/session/ which returns a session URL. That URL hosts Didit’s own verification UI, complete with camera management, lighting cues, and mobile hand-off via QR code. While the user is in the flow, the backend scores fraud signals and validates data against authoritative sources. The decision (approved, declined, in review, etc.) lands in under two seconds at p99. Results are delivered via signed webhooks with HMAC-SHA256 signatures, ensuring data integrity. Developers can also poll the API or inspect every session in the console. This approach removes the need to build and maintain a verification UI or manage complex orchestration logic.

Concrete use cases include fintech onboarding, where Didit verifies new account holders in under 30 seconds, replacing manual document review and reducing drop-off. For marketplaces, identity checks on sellers prevent fake listings and build trust among buyers. Crypto exchanges use Didit to comply with MiCA and FATF Travel Rule requirements, screening users against global sanctions and PEP lists while verifying identity documents. iGaming platforms rely on the platform for age verification and geo-compliance. Larger organizations use the free quota for bake-off pilots and staging traffic before committing to enterprise agreements. The outcomes are consistent: faster user conversion, reduced fraud losses, and streamlined compliance audits. Because the same engine powers free and paid tiers, teams can start validating their workflow on day one without any spend.

Didit is built for developers, compliance officers, and product managers at fast-moving companies. Its target users include early-stage startups needing cost-effective onboarding, fintech and crypto compliance teams requiring regulatory-grade checks, and enterprise risk departments that need customizable workflows. The platform supports Web, iOS, Android, React Native, and Flutter through native SDKs, with documentation and sandbox available immediately. Pricing is transparent: 500 free checks per month per workspace, forever, with no credit card required. Overflow sessions are billed at $0.33 each, and public per-module pricing covers additional needs like AML screening, database validation, and transaction monitoring. Enterprise plans add custom SLAs, white-label options, and dedicated support. Didit’s core promise is that identity verification should be fast, flexible, and free to start, so teams can focus on building rather than on compliance overhead.

Updated 2026-03-03