Age Estimation
Verify whether users meet age requirements in real time using AI-native age estimation. No documents required by default — and when confidence is below your threshold, seamlessly fallback to ID verification for extra assurance. Privacy-first, fast, and built for conversion.
Trusted by +1000 companies worldwide
Estimation accuracy
(AI-powered analysis)
Documents required
(Selfie only)
Processing time
(Real-time results)
HOW IT WORKS

We verify the user is a real human, not a deepfake or spoof. You can choose between: 3D Action & Flash (highest security), 3D Flash (high security), or Passive Liveness (fastest + most frictionless).

Our deep-learning models estimate the user's age with industry-leading accuracy (MAE ~3.5 years).

If the estimated age is above your threshold → Approved. If below → Declined. If borderline → ID Verification fallback (optional).

If the age estimate is uncertain, automatically request a government ID to confirm the user's age.
OUR MODELS

Industry-leading
spoof detection through advanced liveness models
Optimized for low-end devices & low-bandwidth networks
±3.5 MAE average error across all age ranges

Trained on millions of diverse faces
making it easy
Choose the right balance of security and conversion. From invisible background checks to interactive challenges, switch methods dynamically based on user risk scores.

Prompts the user to perform a random movement. Best for high-value transactions and recovering accounts.
DURATION
8.0s
SECURITY

Projects dynamic colored lights to analyze skin reflection. Detects presentation attacks like screens, masks, and deepfakes.
DURATION
5.0s
SECURITY

Verifies the user instantly in the background using a single frame. No gestures, no flashing, no drop-offs.
DURATION
1.0s
SECURITY
Full TRANSPARENCY
No 🛠️ setup fees. No 💸 minimums. No 🎊 surprises. Just crystal-clear pricing ✨ charged only for completed features.

THE EASIEST TO INTEGRATE
Use Didit with no code or with a single API call. Go live in minutes.
Key points
BUILT FOR AI AGENTS
The only identity platform your AI coding agent can fully integrate — credentials, workflows, webhooks, and production code — without opening a browser.
Paste this into Claude Code, Cursor, or Copilot. Your agent registers for API credentials, creates verification workflows, sets up webhooks, and writes integration code — end to end, from a single copy-paste.
Key points
Integrate Didit identity verification into this project.
Didit is an all-in-one identity platform. Docs: https://docs.didit.me
Base URL: https://verification.didit.me/v3
Auth API: https://apx.didit.me/auth/v2
## Step 1: Get API credentials (no browser needed)
Register programmatically — 2 API calls:
POST https://apx.didit.me/auth/v2/programmatic/register/
Body: { "email": "dev@yourapp.com", "password": "SecurePass123!" }
→ Sends 6-char OTP to email
POST https://apx.didit.me/auth/v2/programmatic/verify-email/
Body: { "email": "dev@yourapp.com", "code": "ABC123" }
→ Returns { api_key, organization, application }
Or login if already registered:
POST https://apx.didit.me/auth/v2/programmatic/login/
Body: { "email": "...", "password": "..." }
→ Returns { access_token, refresh_token }
All subsequent API calls use: x-api-key: YOUR_API_KEY
## Step 2: Create a verification workflow
POST https://verification.didit.me/v3/workflows/
Headers: { "x-api-key": "YOUR_API_KEY", "content-type": "application/json" }
Body: {
"name": "KYC Flow",
"features": {
"id_verification": true,
"passive_liveness": true,
"face_match": true,
"aml_screening": false,
"nfc": false,
"ip_analysis": true,
"phone_verification": false,
"email_verification": false,
"proof_of_address": false,
"age_estimation": false,
"database_validation": false,
"questionnaire": false
}
}
→ Returns { uuid: "workflow_id", ... }
Or list existing workflows: GET /v3/workflows/
## Step 3: Create verification sessions
POST https://verification.didit.me/v3/sessions/
Body: {
"workflow_id": "WORKFLOW_ID",
"vendor_data": "your-internal-user-id",
"callback": "https://yourapp.com/api/didit/webhook"
}
→ Returns {
session_id, session_token, session_number,
url: "https://verify.didit.me/session/TOKEN"
}
Redirect users to the url, or embed via SDK:
- Web: npm install @didit-protocol/sdk-web
- React Native: npx expo install @didit-protocol/sdk-react-native
- iOS: SPM github.com/didit-protocol/sdk-ios
- Android: me.didit:didit-sdk:3.2.0
- Flutter: flutter pub add didit_sdk
## Step 4: Get results
Option A — Webhook (recommended):
Configure callback URL. Didit sends POST with session data when status changes.
Verify webhook signature using your webhook secret (GET /v3/webhook/).
Option B — Poll:
GET https://verification.didit.me/v3/sessions/{session_id}/
Session statuses: Pending → In Progress → Approved | Declined | In Review | Expired
You can also: update status (PATCH /v3/sessions/{id}/status/),
generate PDF reports (POST /v3/sessions/{id}/generate-pdf/),
or delete sessions (DELETE /v3/sessions/{id}/).
## Standalone APIs (call individually without sessions)
POST /v3/id-verification/ — Submit document images, get OCR + authenticity
POST /v3/passive-liveness/ — Verify person is real from selfie
POST /v3/face-match/ — Compare two faces (similarity 0-100)
POST /v3/face-search/ — 1:N search against all approved sessions
POST /v3/age-estimation/ — Estimate age from face
POST /v3/aml-screening/ — Screen against 1,300+ watchlists
POST /v3/proof-of-address/ — Extract + validate address documents
POST /v3/database-validation/ — Government DB checks (18+ countries)
POST /v3/email/send/ + /v3/email/check/ — Email OTP
POST /v3/phone/send/ + /v3/phone/check/ — Phone OTP (SMS/WhatsApp)
## Pricing
Free core KYC: ID Verification + Passive Liveness + Face Match + IP Analysis (500 free/month)
Premium checks: Prepaid credits, no contracts, no minimums, credits never expire.
Details: https://didit.me/pricing
## Rate Limits
300 req/min per method, 600 session creations/min.
On 429: check Retry-After header.
CERTIFICATIONS
Our platform meets the highest international standards for information security, data privacy, and biometric accuracy.
Full EU data protection compliance
Information security management
PAD (liveness + face match)
TRUSTED WORLDWIDE
Join thousands of companies that trust Didit for their verification needs
AGE ESTIMATION FAQ
Age estimation verifies whether a user is above or below a specific age threshold using AI-based facial analysis, without requiring identity documents or storing personal identity data.
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