Block AI agents, generated faces, deepfakes, and duplicate accounts from human-only surfaces. iBeta Level 1 PAD-certified passive liveness plus free 1:N dedupe. $0.10 per check, 500 free every month.
Prove the user is human. Prove they only signed up once.
Passive Liveness rejects every Presentation Attack Detection (PAD) category —
print, screen, mask, AI-generated face. Face Search 1:N then catches the same
person attempting to register twice. Sub-2-second verdict. $0.10 per check.
500 verifications free every month, forever.
How it works
From sign-up to verified user in four steps.
Step 01
Create the workflow
Pick the checks you want — ID, liveness, face match, sanctions, address, age, phone, email, custom questions. Drag them into a flow in the dashboard, or post the same flow to our API. Branch on conditions, run A/B tests, no code required.
Step 02
Integrate
Embed natively with our Web, iOS, Android, React Native, or Flutter SDK. Redirect to a hosted page. Or just send your user a link — by email, SMS, WhatsApp, anywhere. Pick what fits your stack.
Step 03
User goes through the flow
Didit hosts the camera, the lighting cues, the mobile hand-off, and accessibility. While the user is in the flow, we score 200+ fraud signals in real time and verify every field against authoritative data sources. Result in under two seconds.
Step 04
You receive the results
Real-time signed webhooks keep your database in sync the moment a user is approved, declined, or sent to review. Poll the API on demand. Or open the console to inspect every session, every signal, and manage cases your way.
Block every agent · Issue a credential a human can carry
Six capabilities. One signed Proof of Human.
One workflow, one verdict, one credential. Toggle each module per surface. No upsell tiers, no add-on SKUs, no separate APIs.
Independently certified at iBeta Presentation Attack Detection (PAD) Level 1 — the bar the United States National Institute of Standards and Technology (NIST) cites. Blocks every ISO/IEC 30107-3 category: printed photos, screen replays, paper, silicone and latex masks, morph attacks, AI-generated deepfakes. Re-tested annually.
Edge inference under two seconds on entry-level Android. The same model that defeats printed photos rejects Generative Adversarial Network (GAN) faces, diffusion-model portraits, and real-time deepfake video. No model download, no degraded experience on cheap hardware.
Edge inference sub-2-seconds on entry-level Android.
03 · Face Search 1:N — free
Same face surfaces. Same human caught.
Every approved Proof of Human adds a face template to your private account index. The next attempt by the same person surfaces at the top with a match score. Tune the auto-decline threshold per workflow; route borderline matches to review. Free on every plan.
Bind a Reusable Credential to every approved user. The next Didit-powered surface that needs the same gate consumes the credential at zero cost. The human holds the proof; you verify the signature. Network effect compounds across every customer that ships Reusable Credentials.
Social signup, online voting, contests, surveys, marketplace seller registration, gig-worker onboarding, dating-app trust badges, exchange sign-up, online gambling. Anywhere AI agents or duplicates erode the value of being human, Proof of Human is the gate.
Contests + surveysNo bot brigading the leaderboard
Dating + marketplacesReal seller, real buyer
Block agents at the door.$0.10 / check
06 · Three methods, one price
Passive $0.10. Active 3D $0.15. Face Search free.
Passive (one frame, zero user action) for low-friction signup. Active 3D Flash captures depth from a short flash sequence. Active 3D Action + Flash adds a motion challenge for the highest-sensitivity surfaces. Face Search 1:N is free and always-on. 500 verifications free every month, forever.
Use the hosted session when Didit handles capture (required for Active 3D), or call the standalone passive-liveness and face-search endpoints when you already have the selfie.
200OKstatus Approved · In Review · Declined · Not Finished
Verify X-Signature-V2 on the signed webhook first.docs →
Agent-ready integration
Ship Proof of Human in one prompt.
Paste into Claude Code, Cursor, Codex, Devin, Aider, or Replit Agent. Fill in your stack. The agent provisions Didit, builds the workflow, wires the webhook, and ships the gate in five minutes.
didit-integration-prompt.md
You are integrating Didit's Proof of Human gate into <my_stack>. Block AI agents, deepfakes, masks, and duplicate accounts from human-only surfaces — signup, voting, contests, marketplaces, dating. Two endpoints, one verdict.
1. Prove a real human is present (Liveness). ONE call to the Sessions API runs a Presentation Attack Detection (PAD)-certified passive selfie and returns a verdict in sub-2-seconds.
2. Prove the human is unique (Face Search 1:N). Same Sessions API workflow runs Face Search 1:N against your account's private face index.
Pricing (public):
- Passive Liveness: $0.10 per check
- Active 3D Liveness: $0.15 per check (motion challenge — use for high-sensitivity flows)
- Face Search 1:N: free, included
- 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.
- A workflow_id from the Workflow Builder that contains the LIVENESS feature, and (recommended) FACE_MATCH and IP_ANALYSIS so Sybil dedupe + agent / bot signals come in on the same verdict.
STEP 1 — Build the Proof of Human workflow once
POST https://verification.didit.me/v3/workflows/
Headers:
x-api-key: <your api key>
Content-Type: application/json
Body:
{
"workflow_label": "proof_of_human",
"features": [
{ "feature": "LIVENESS", "config": { "method": "PASSIVE" } },
{ "feature": "FACE_MATCH" },
{ "feature": "IP_ANALYSIS" }
],
"face_liveness_score_decline_threshold": 30
}
Notes:
- LIVENESS, FACE_MATCH, IP_ANALYSIS are exact, case-sensitive feature names.
- method enum: PASSIVE (one frame) · FLASHING (3D flash) · ACTIVE_3D (action + flash). Use ACTIVE_3D for the highest-sensitivity surfaces (large-value account creation, voting, contest finals).
STEP 2 — Open a Proof of Human 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>/proof-of-human/callback",
"metadata": {
"surface": "<signup | vote | contest | marketplace | dating>"
}
}
Response: 201 Created with the hosted session_url. Redirect the user. The hosted UI opens the front camera, captures one passive frame (or a short motion challenge for ACTIVE_3D), runs Liveness + Face Search 1:N, returns the verdict in sub-2-seconds.
STEP 3 — Read the signed verdict on the webhook
Body (excerpted for a clean human):
{
"session_id": "<uuid>",
"vendor_data": "<your user id>",
"status": "Approved",
"liveness": {
"status": "Approved",
"method": "PASSIVE",
"score": 96,
"warnings": []
},
"face": {
"status": "Approved",
"similarity_score": null,
"matches": []
},
"ip_analysis": { "status": "Approved" }
}
Body (excerpted for a duplicate):
{
"status": "In Review",
"liveness": { "status": "Approved", "score": 94 },
"face": {
"status": "In Review",
"matches": [
{ "vendor_data": "user_8124", "similarity_score": 0.97 }
],
"warnings": [{ "code": "POSSIBLE_DUPLICATED_FACE" }]
}
}
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.
Liveness warning catalog:
- LIVENESS_FACE_ATTACK PAD attack suspected (print / replay / mask / GAN)
- LOW_LIVENESS_SCORE score below threshold
- NO_FACE_DETECTED no face in the capture
- AGE_NOT_DETECTED capture quality too low for age signal
- POSSIBLE_DUPLICATED_FACE same face previously verified on your account
STEP 4 — Branch your surface on the final verdict
Approved → grant access to the human-only surface.
Declined → block; log the rejected agent / spoof attempt.
In Review → hold; show a review-pending banner, route to ops queue.
Not Finished → user abandoned; safe to re-prompt.
STEP 5 — Alternate path (server-to-server, when you have the selfie)
POST https://verification.didit.me/v3/passive-liveness/
Headers:
x-api-key: <your api key>
Body (multipart/form-data):
image <single front-camera selfie>
Then dedupe:
POST https://verification.didit.me/v3/face-search/
Body (multipart/form-data):
image <same selfie>
vendor_data <your user id>
Use the standalone path for native onboarding apps that capture the selfie locally. Active 3D liveness REQUIRES the hosted session — it needs the motion challenge to run.
CONSTRAINTS
- Base URL for /v3/* endpoints is verification.didit.me (NOT apx.didit.me).
- Feature enum is UPPERCASE: LIVENESS, FACE_MATCH, IP_ANALYSIS, ID_VERIFICATION, AML, AGE_ESTIMATION.
- 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.
- 200+ fraud signals are evaluated on every session at no extra cost.
PRO TIP
- Bind a Reusable Credential to each approved user. The next Didit-powered surface that needs the same gate consumes the credential at zero cost — the Proof of Human "compounds" across the network.
Read the docs:
- https://docs.didit.me/core-technology/liveness/overview
- https://docs.didit.me/core-technology/face-search/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.
Open a new country in one click. We do the hard work.
We open the local subsidiaries, secure the licenses, run the penetration tests, earn the certifications, and align with every new regulation. To ship verifications in a new country, flip a toggle. 220+ countries live, audited and pen-tested every quarter — the only identity provider an EU member-state government has formally called safer than in-person verification.
Independently certified Presentation Attack Detection on every passive selfie.
<0%
Real users rejected at the certified test point.
<0s
End-to-end liveness and face-search inference on entry-level Android.
$0.00
Per passive liveness check. Face Search 1:N is free.
Three tiers, one price list
Start free. Pay per usage. Scale to Enterprise.
500 free verifications every month, forever. Pay-as-you-go for production. Custom contracts, data residency, and SLAs (Service Level Agreements) on Enterprise.
Free
Free
$0 / month. No credit card required.
Free KYC bundle (ID Verification + Passive Liveness + Face Match + Device & IP Analysis) — 500 / month, every month
Blocklisted Users
Duplicate Detection
200+ fraud signals on every session
Reusable KYC across the Didit network
Case Management Platform
Workflow Builder
Public docs, sandbox, SDKs, MCP (Model Context Protocol) server