Schätze das Alter anhand eines passiven Selfies für $0.10. Der Dokument-Fallback greift nur in Grenzbereichen. Bereit für den UK Online Safety Act und Frankreich SREN. 500 Verifizierungen pro Monat kostenlos.
Robinhood Ventures
Über 2.000 Organisationen weltweit vertrauen uns.
UK Ofcom · Frankreich SREN · EU DSA
Jeden Besucher durch einen Dokument-Upload zu zwingen, senkt die Abschlussraten um 25–40 %. Didits adaptiver Flow führt zuerst eine Altersschätzung durch und leitet nur die Grenzfälle an den Dokument-Fallback weiter. Selfie-Ergebnis in unter 2 Sekunden, $0.10 pro Prüfung, Mischkosten nahe $0.115 pro Nutzer. 500 Verifizierungen pro Monat kostenlos.
Wähle die gewünschten Prüfungen aus, ID, Liveness, Face Match, Sanktionen, Adresse, Alter, Telefon, E-Mail, benutzerdefinierte Fragen. Ziehe sie im Dashboard in einen Flow oder poste denselben Flow an unsere API. Verzweige nach Bedingungen, führe A/B-Tests durch, kein Code erforderlich.
Bette nativ mit unserem Web-, iOS-, Android-, React Native- oder Flutter-SDK ein. Leite auf eine gehostete Seite weiter. Oder sende deinem Nutzer einfach einen Link, per E-Mail, SMS, WhatsApp, überall. Wähle, was zu deinem Stack passt.
Didit hostet die Kamera, die Beleuchtungshinweise, die mobile Übergabe und die Barrierefreiheit. Während der Nutzer im Flow ist, bewerten wir über 200 Betrugssignale in Echtzeit und verifizieren jedes Feld anhand autoritativer Datenquellen. Ergebnis in unter zwei Sekunden.
Echtzeit-signierte Webhooks halten deine Datenbank synchron, sobald ein Nutzer genehmigt, abgelehnt oder zur Überprüfung gesendet wird. Frage die API bei Bedarf ab. Oder öffne die Konsole, um jede Session und jedes Signal zu überprüfen und Fälle nach deinen Wünschen zu verwalten.
Didit · Age Estimation
Step 1 / 1
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$ curl -X POST https://verification.didit.me/v3/session/ \
-H "x-api-key: $DIDIT_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"workflow_id": "wf_age_gate_uk_fr",
"vendor_data": "user-42",
"callback": "https://app/age-gate/cb"
}'AGE_ESTIMATION, dann ID_VERIFICATION bei Grenzbereichen.Doku →$ 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-V2 prüfen.Doku →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.$0 / Monat. Keine Kreditkarte erforderlich.
Zahle nur, was du nutzt. Über 25 Module. Öffentliche Preise pro Modul, keine monatliche Mindestgebühr.
Individuelle MSA & SLA. Für große Volumina und regulierte Programme.
Kostenlos starten → nur zahlen, wenn eine Prüfung läuft → Enterprise für einen individuellen Vertrag, SLA oder Datenresidenz freischalten.
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.
Eine API für KYC, KYB, Transaktionsüberwachung und Wallet-Screening. In 5 Minuten integriert.