Trusted by +1000 companies worldwide
Liveness decision time
(Real-time)
Passive & Active
(Choose your security level)
Fraud signals analyzed
(Spoofing, replay, deepfakes)
HOW IT WORKS
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
WHY DIDIT LIVENESS
Didit Liveness is AI-native by design, detecting spoofing, replay attacks, screen injections, masks, and deepfakes by analyzing hundreds of real-time signals — not just facial motion.
Use passive liveness for a frictionless UX or active liveness for high-risk scenarios. Both modes run on the same platform and can be configured per workflow.
Unlike standalone biometric vendors, Didit combines liveness with IP analysis, device intelligence, duplicate detection, and blocklisting to stop repeat attackers and coordinated fraud.
Use liveness standalone or with Face Match, Biometric Authentication, or KYC. Integrate via API or hosted flows and pay only for completed checks — no contracts or minimums.
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
LIVENESS FAQ
Liveness detection verifies that a user is physically present and real, preventing fraud attempts using photos, videos, masks, or AI-generated deepfakes.
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