Highlights
3 years in a row named a Leader First to achieve iBeta Level 3 on iOS and Android Introducing GovFaceMatch Privacy is the architecture
01/04
01/04

Dating

Enable authentic connections between real people

Incode verifies identity and age at sign-up, privacy-first, so bots, fake profiles, and AI personas never make it to a match. Every identity clears independent layers of defense.

Identity verification built for online dating

AI-powered identity verification and age assurance for dating apps, built privacy-first.

0B+

trust checks run

0%

verified on the first attempt

<2s

verification decision time

0%

deepfake detection

What dating platforms are up against

An authenticity crisis in online dating

Trust is no longer a differentiator; it is the baseline users demand and regulators now enforce. The UK Online Safety Act mandates age verification for dating apps, with fines of up to 10% of global revenue for non-compliance, as similar requirements gain momentum in other markets.

Romance scams and catfishing

Fake profiles built on stolen photos and AI personas farm affection into fraud and sextortion, and the platform's reputation pays for it.

Bots and fake profiles

Automated accounts flood swipes and chats, poisoning the experience that keeps real members subscribing.

Minors on 18+ platforms

Dating apps are adults-only by law. Age verification is mandated in the UK and Australia, with the US, EU, and Canada close behind.

AI personas

Generative AI makes a perfect fake profile cheap: photos, chat, and a voice. Proving humanity is the new baseline.

User experience

How it works

Identity verification is the foundation that makes the experience worth paying for.

Why dating platforms choose Incode

Independent layers of defense for every member

Fraud that adapts will eventually fool any single check. Incode verifies every identity across independent layers, each reading a different signal, in milliseconds. Real members pass without friction while fraud has to beat every layer at once.

Document verification

AI-powered detection of paper forgeries, screen spoofs, and digitally generated IDs. International identity documents supported.

See it in action

Biometric liveness

Liveness detection confirms a live person is present and matches the face to the document in milliseconds.

See it in action

AI-generated document detection

Deepsight for Documents catches forged, tampered, and fully synthetic IDs, fraud that template checks and barcode validation were never built to see. 8.8x more fraud caught than document checks alone.

See it in action

On-device age estimation

Zero-knowledge age estimation runs entirely on the member's device: the face never leaves the phone, and no biometric data is transmitted.

See it in action

Personhood for the AI era

Incode detects autonomous agents and AI personas, verifying the real human behind every interaction and every match.

See it in action

Privacy is the architecture

We made privacy a founding conviction long before regulation or the market asked for it. Data reduction, anonymity, and automated deletion are built in by default.

Read the Manifesto

FAQ

Common questions about identity verification for dating

Still have questions? Talk to an expert
How do dating apps verify users are real people?

Identity verification at sign-up confirms a real, live, unique human behind each profile: a quick selfie check defeats bots and stolen photos, and a document check anchors the account to a real person. Verified members mean real humans talking to real humans.

Do dating apps have to verify users' ages?

Yes, in a growing list of markets. The UK Online Safety Act mandates age verification for dating apps, Australia's rules took force in March 2026, and the US, EU, and Canada have active regulatory discussions underway. Incode adapts the check market by market.

How does Incode keep minors off dating apps?

Facial age estimation confirms a member is an adult from a quick selfie, escalating to a document check only when the estimate is close to the threshold. An on-device, zero-knowledge option runs the analysis without the face ever leaving the phone.

How does Incode stop romance scams and catfishing?

Romance scams build fake relationships on stolen or AI-generated identities and turn affection into money transfers or sextortion. Verifying every member at sign-up removes the fake profiles the scam depends on, and Deepsight catches the AI-generated faces behind them.

Can a deepfake or AI persona pass verification?

No. Passive liveness detection plus Deepsight block face swaps, injected camera feeds, and AI-generated faces, backed by an independent Purdue University benchmark, and personhood checks detect autonomous agents behind accounts.

Does verification add friction to dating app sign-up?

No. 90% of members verify on the first attempt, with a decision in seconds. Verified members also engage more and convert to paid features, because a platform of real humans feels worth paying for.

Let's connect

Secure growth, fraud protection, and compliance in dating