무료
월 $0. 신용카드 정보가 필요 없습니다.
- 무료 KYC 번들 (신분증 확인 + 패시브 라이브니스 + 얼굴 매칭 + 기기 및 IP 분석), 매월 500건 제공
- 차단된 사용자
- 중복 감지
- 모든 세션에서 200개 이상의 사기 신호 감지
- Didit 네트워크 전반에 걸쳐 재사용 가능한 KYC
- 사례 관리 플랫폼
- 워크플로 빌더
- 공개 문서, 샌드박스, SDK, MCP(Model Context Protocol) 서버
- 커뮤니티 지원




전 세계 2,000개 이상의 기관에서 신뢰합니다.

영국 Ofcom · 프랑스 SREN · EU DSA
모든 방문자에게 문서 업로드를 강제하면 완료율이 25-40% 감소합니다. Didit의 적응형 플로우는 연령 추정을 먼저 실행하고, 경계선에 있는 사용자만 문서 대체로 라우팅합니다. 2초 미만의 셀피 판정, 건당 $0.10, 사용자당 평균 비용은 약 $0.115입니다. 매월 500건 무료 확인.
원하는 확인 항목(신분증, 라이브니스, 얼굴 일치, 제재, 주소, 연령, 전화, 이메일, 맞춤 질문)을 선택하세요. 대시보드에서 플로우로 드래그하거나, 동일한 플로우를 API에 게시할 수 있습니다. 조건에 따라 분기하고, A/B 테스트를 실행하며, 코드가 필요 없습니다.
Web, iOS, Android, React Native 또는 Flutter SDK를 사용하여 네이티브로 임베드하세요. 호스팅된 페이지로 리디렉션하거나, 이메일, SMS, WhatsApp 등 어디든 사용자에게 링크를 보내세요. 스택에 맞는 방식을 선택하세요.
Didit은 카메라, 조명 안내, 모바일 핸드오프 및 접근성을 호스팅합니다. 사용자가 플로우를 진행하는 동안, 200개 이상의 사기 신호를 실시간으로 분석하고 모든 필드를 신뢰할 수 있는 데이터 소스와 대조하여 확인합니다. 2초 이내에 결과를 제공합니다.
실시간 서명된 웹훅은 사용자가 승인, 거부되거나 검토로 보내지는 즉시 데이터베이스를 동기화합니다. 필요에 따라 API를 폴링하거나, 콘솔을 열어 모든 세션, 모든 신호를 검사하고 케이스를 직접 관리할 수 있습니다.
Didit · Age Estimation
Step 1 / 1
Centre your face
Didit · Workflow Builder
Didit · ID Verification
Didit · Country Rules
Didit · Compliance Matrix
Didit · Public pricing
$ curl -X POST https://verification.didit.me/v3/session/ \
-H "x-api-key: $DIDIT_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"workflow_id": "wf_age_gate_uk_fr",
"vendor_data": "user-42",
"callback": "https://app/age-gate/cb"
}'AGE_ESTIMATION 후 ID_VERIFICATION 워크플로우가 연결됩니다.문서 →$ curl https://verification.didit.me/v3/session/<id>/decision/ \
-H "x-api-key: $DIDIT_API_KEY"
# Returns the path taken
{
"status": "Approved",
"liveness": { "age_estimation": 27.3 }
}X-Signature-V2를 확인하세요.문서 →You are integrating Didit's Age Verification recipe into <my_stack>. Selfie-first age estimation with an adaptive document fallback for the borderline tail. One Didit workflow. Two real endpoints.
1. Verify age on a selfie. ONE call to the Sessions API runs Age Estimation + Passive Liveness on the same passive frame.
2. Fall back to a document check ONLY when the estimate sits in the borderline band you define. Same Sessions API workflow handles the fallback automatically.
Bundle pricing (public):
- Age Estimation: $0.10 per check (Sessions API or standalone)
- ID Verification fallback: $0.15 per check, only when triggered
- Typical blended cost lands near $0.115 per user (~90% finish on the selfie, ~10% touch the document fallback)
- First 500 verifications free every month, forever
PRE-REQUISITES
- Production API key from https://business.didit.me (sandbox key in 60s, no card).
- Webhook endpoint with Hash-based Message Authentication Code (HMAC) SHA-256 verification using the X-Signature-V2 header and your webhook secret.
- A workflow_id from the Workflow Builder. The workflow must contain the AGE_ESTIMATION feature, and (recommended) the ID_VERIFICATION feature with adaptive_id_verification enabled so the borderline tail routes through automatically.
STEP 1 — Build the adaptive workflow once
POST https://verification.didit.me/v3/workflows/
Headers:
x-api-key: <your api key>
Content-Type: application/json
Body:
{
"workflow_label": "age_gate_uk_fr",
"features": [
{ "feature": "AGE_ESTIMATION" },
{ "feature": "ID_VERIFICATION" }
],
"age_estimation_decline_threshold": 18,
"face_liveness_score_decline_threshold": 30,
"adaptive_id_verification": true
}
Notes:
- "AGE_ESTIMATION" and "ID_VERIFICATION" are exact, case-sensitive feature names.
- age_estimation_decline_threshold defaults to 18; set 21 for US alcohol, 19 for South Korea, etc.
- adaptive_id_verification = true tells Didit to invoke the document fallback automatically when the estimate sits inside the borderline band.
STEP 2 — Open an age-verification session per user
POST https://verification.didit.me/v3/session/
Headers:
x-api-key: <your api key>
Content-Type: application/json
Body:
{
"workflow_id": "<the workflow_id from step 1>",
"vendor_data": "<your internal user id>",
"callback": "https://<your-app>/age-gate/callback",
"metadata": {
"purpose": "age_gate",
"surface": "<the page or feature being gated>"
}
}
Response: 201 Created with the hosted session_url. Redirect the user to it. The hosted flow opens the front camera, captures one passive frame, runs Age Estimation + Passive Liveness in sub-2-seconds, and either returns a verdict or routes the user into the document fallback automatically.
STEP 3 — Read the signed webhook on session completion
Didit POSTs to your callback. Session statuses are exact Title Case With Spaces.
Body (excerpted for an Age Estimation only finish):
{
"session_id": "<uuid>",
"vendor_data": "<your user id>",
"status": "Approved",
"liveness": {
"status": "Approved",
"method": "PASSIVE",
"score": 92,
"age_estimation": 27.3,
"warnings": []
}
}
Body (excerpted when the document fallback fired):
{
"session_id": "<uuid>",
"vendor_data": "<your user id>",
"status": "Approved",
"liveness": { "status": "Approved", "age_estimation": 17.9, "warnings": [{ "code": "AGE_NOT_DETECTED" }] },
"id_verification": {
"status": "Approved",
"date_of_birth": "1998-03-21",
"age": 27,
"document_type": "Passport",
"issuing_state": "GBR"
}
}
Verify X-Signature-V2 BEFORE trusting the body — HMAC SHA-256 of the raw bytes with your webhook secret.
Session status enum (exact case): Approved | Declined | In Review | Resubmitted | Expired | Not Finished | Kyc Expired | Abandoned.
Warning catalog:
- AGE_BELOW_MINIMUM estimated or computed age below the threshold
- AGE_NOT_DETECTED unable to estimate age (lighting / quality)
- LOW_LIVENESS_SCORE passive-liveness score below threshold
- NO_FACE_DETECTED no face in the capture
- LIVENESS_FACE_ATTACK presentation attack suspected
- POSSIBLE_DUPLICATED_FACE same face previously verified
STEP 4 — Branch your surface on the final verdict
Approved → grant access to the gated surface.
Declined → render the regulator-required age-gate notice.
In Review → hold; an analyst case is open in the Business Console.
Not Finished → user abandoned; safe to re-prompt.
STEP 5 — Alternate path (server-to-server, when you already have the selfie)
POST https://verification.didit.me/v3/age-estimation/
Headers:
x-api-key: <your api key>
Body (multipart/form-data):
user_image <single passive selfie>
age_estimation_decline_threshold 18 (optional, integer)
face_liveness_score_decline_threshold 30 (optional, integer)
Branch on the borderline band yourself, then optionally call:
POST https://verification.didit.me/v3/id-verification/
Body (multipart/form-data):
front_image <required>
back_image <optional>
vendor_data <optional, your user id>
This path is useful for native onboarding apps that capture the selfie locally.
CONSTRAINTS
- Base URL for /v3/* endpoints is verification.didit.me (NOT apx.didit.me).
- Feature enum is UPPERCASE: AGE_ESTIMATION, ID_VERIFICATION, LIVENESS, FACE_MATCH, AML, IP_ANALYSIS.
- Method enum is UPPERCASE: PASSIVE, FLASHING, ACTIVE_3D.
- Auth header is x-api-key (lowercase, hyphenated).
- Webhook signature header is X-Signature-V2 (NOT X-Signature).
- Status casing matches exactly: Approved, Declined, In Review, Expired, Not Finished, Resubmitted, Kyc Expired, Abandoned.
- Reference image URLs are signed and expire in 60 minutes. Store only the verdict + score; never the biometric media unless retention is explicitly enabled for fraud defence.
- 200+ fraud signals are evaluated on every session at no extra cost — surface the score via the session decision payload, do not re-query.
WEBHOOK EVENT NAMES
- Sessions: status changes flow through the standard session webhook.
- Verify X-Signature-V2 on every payload.
Read the docs:
- https://docs.didit.me/core-technology/age-estimation/overview
- https://docs.didit.me/sessions-api/create-session
- https://docs.didit.me/integration/webhooks
Start free at https://business.didit.me — sandbox key in 60 seconds, 500 verifications free every month, no credit card.월 $0. 신용카드 정보가 필요 없습니다.
사용한 만큼만 지불하세요. 25개 이상의 모듈. 모듈별 공개 가격, 월 최소 요금 없음.
맞춤형 MSA 및 SLA. 대규모 볼륨 및 규제 프로그램에 적합합니다.
무료로 시작 → 확인 실행 시에만 지불 → 맞춤형 계약, SLA 또는 데이터 상주를 위해 엔터프라이즈 잠금 해제.
Didit is infrastructure for identity and fraud, the platform we wished existed when we were building products ourselves: open, flexible, and developer-friendly, so it works as a real part of your stack instead of a black box you integrate around.
One API covers verifying people (KYC, know your customer), verifying businesses (KYB, know your business), screening crypto wallets (KYT, know your transaction), and monitoring transactions in real time, on a stack built to be:
The footprint underneath: 14,000+ document types in 48+ languages, 1,000+ data sources, and 200+ fraud signals on every session. The Didit infrastructure dynamically learns from every session and gets better every day.
Most regulators ask for highly effective age assurance on adult content, online gambling, alcohol, and sometimes social platforms. That means a method good enough that the average minor can't trivially pass, not a self-declared birth-date checkbox.
The two methods almost every regulator accepts are age estimation (a selfie scored by a model) and age verification by document (the user uploads a passport or national identity card). Most teams ship both, with the estimation step gating the cheaper, lower-friction selfie path.
The two new rules pulling teams in are the UK Online Safety Act (Ofcom started enforcement in July 2025 for any service that lets users in the UK encounter pornography) and France's SREN law (CNIL + Arcom rules in force for sites accessed from France).
Alongside those, the EU Digital Services Act asks very-large platforms to mitigate risks to minors, and several US states (Utah, Texas, Louisiana) have age-gate statutes for adult content. They all accept the same toolkit: selfie age estimation, government identity document upload, or a third-party identity wallet.
The full flow normally takes under 30 seconds end-to-end, pick up the ID, snap the document, snap the selfie, done. That is the fastest in the market. Legacy KYC providers usually take more than 90 seconds for the same flow.
On the back end, Didit returns the result in under two seconds at p99, measured from the moment the user finishes the selfie to the moment your webhook fires. Mobile capture is tuned for slow phones and slow networks: progressive image compression, lazy software development kit load, and a one-tap hand-off from desktop to phone via QR code if the user starts on web.
Two reasons. First, regulators care about the tail, not the median. A model is statistically fine at 17 vs 19 but the regulator wants you to be confident on the 16-year-old who looks 20. The document check is your evidence on those cases.
Second, conversion. Forcing every visitor to upload a passport drops finish rates by 25-40%. A selfie-first flow with document fallback typically routes 90% of users through the cheaper, friction-free path and 10% to the document step, far better business outcomes, same compliance posture.
Every session lands on one of seven clear statuses, so your code always knows what to do:
Approved, every check passed. Move the user forward.Declined, one or more checks failed. You can allow the user to resubmit the specific failed step (for example, re-take the selfie) without re-running the whole flow.In Review, flagged for compliance review. Open the case in the console, see every signal, decide approve or decline.In Progress, user is mid-flow.Not Started, link sent, user has not opened it yet. Send a reminder if it sits too long.Abandoned, user opened the link but did not finish in time. Re-engage or expire.Expired, the session link aged out. Create a new session.A signed webhook fires on every status change, so your database always stays in sync. Abandoned and declined sessions are free.
Production data is processed and stored in the European Union by default, on Amazon Web Services. Enterprise contracts can request alternative regions for jurisdictions whose regulators require it.
Encryption everywhere. AES-256 at rest across every database, object store, and backup. Transport Layer Security 1.3 in transit on every API call, webhook, and Business Console session. Biometric data is encrypted under a separate Customer Master Key.
Retention is yours to control. Default retention is indefinite (unlimited) unless you configure shorter, between 30 days and 10 years per application, and you can delete any individual session at any time from the dashboard or the API.
Certifications: SOC 2 Type 1 (Type 2 audit in progress), ISO/IEC 27001:2022, iBeta Level 1 PAD, and a public attestation from Spain''s Tesoro / SEPBLAC / CNMV that Didit''s remote identity verification is safer than verifying someone in person. Full report at /security-compliance.
Didit ships compliant by default for the regulators that matter to identity infrastructure:
Detailed memo, every certificate, every regulator letter: /security-compliance.
Three integration paths, pick whichever fits your stack:
Same dashboard, same billing, same pay-per-success price for all three. Step-by-step guide at docs.didit.me/integration/integration-prompt.
Didit ships with the certifications UK Ofcom and CNIL most often ask to see on a vendor questionnaire:
All four sit in the audit pack, ready to attach to the platform's transparency notice.
Data minimisation by default. The selfie is processed in memory, the age verdict and a liveness score are persisted, and the raw image is deleted unless retention is explicitly enabled for fraud defence. The retention window is per-workflow and per-region, and an end user can request deletion via the standard data-subject-request path.
We never sell, share, or train third-party models on a customer's biometric data. The full data-processing terms live at didit.me/terms/business.
The selfie returns one of three outcomes:
A signed webhook lands at every state change so you only render the gate against the latest verdict, not a guess.