受到全球1000多家公司的信赖
匹配准确率
(极低的误接受率)
比较时间
(实时结果)
每月检查次数
(每月重置,之后按使用付费)
工作原理
为什么选择 Didit 人脸匹配
Didit Face Match 使用在多样化、真实世界数据上训练的最先进生物识别模型。这可在极具挑战性的条件下实现高精度和极低的误接受率。
Face Match 与活体检测、NFC 验证和欺诈信号结合使用时最为强大。它们共同可防止欺骗、重放攻击和身份冒充。
在 KYC、生物识别身份验证或独立流程中使用 Face Match。通过工作流或直接 API 访问,与身份证件、NFC 芯片照片或您自己的参考图像进行匹配。
作为核心KYC的一部分,每月获得500次免费人脸匹配检查。之后,只需为您使用的部分付费——无合同、无最低要求、无意外费用。
完全 透明
无需 🛠️ 设置费用。无需 💸 最低消费。无需 🎊 意外收费。只有清晰明确的定价 ✨ 仅对已完成的功能收费。

最容易 集成
使用无代码或通过单个API调用使用Didit。在几分钟内上线。
关键点
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.
认证
我们的平台符合信息安全、数据隐私和生物识别准确性的最高国际标准。
完全符合欧盟数据保护法规
信息安全管理
PAD(活体检测 + 人脸匹配)
全球信赖
加入成千上万信任Didit满足其验证需求的公司
面部匹配常见问题解答
Face Match 是一种生物识别流程,用于比较两张面部图像以确定它们是否属于同一个人。它通常用于验证实时用户是否与受信任的参考图像匹配。