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    Intermediate
    Finance
    9 min read

    Automated KYC Document Verification

    For financial institutions onboarding 1000+ customers daily. Automate identity verification. 99% accuracy, 80% faster onboarding.

    Who It's For

    Banks, fintechs, and financial services companies who need to verify customer identity documents during account opening

    Problem Solved

    Manual KYC review takes 15-30 minutes per customer, creates onboarding friction, and inconsistently catches fraudulent documents

    Why Mixpeek

    99% verification accuracy, 80% faster onboarding, and automated fraud detection that catches sophisticated fakes

    Overview

    KYC is a regulatory requirement that impacts customer experience. This use case shows how Mixpeek automates document verification while improving accuracy.

    Challenges This Solves

    Verification Backlog

    Manual review creates onboarding delays

    Impact: Customers abandon during wait times

    Document Variety

    Hundreds of ID types from different countries

    Impact: Staff cannot know all document formats

    Fraud Sophistication

    High-quality fake IDs increasingly common

    Impact: Manual review misses subtle forgery indicators

    Compliance Burden

    Must maintain audit trails and documentation

    Impact: Manual processes difficult to audit

    Implementation Steps

    Mixpeek analyzes identity documents (IDs, passports, utility bills) to verify authenticity, extract data, and cross-reference against submitted information

    1

    Verify Document Authenticity

    Check document is genuine and unaltered

    const verification = await client.kyc.verifyDocument({
    document_url: idDocumentUrl,
    document_type: 'auto_detect',
    checks: ['authenticity', 'tampering', 'expiry', 'format_validity']
    });
    2

    Extract and Validate Data

    Extract information and cross-reference

    const extraction = await client.kyc.extractAndValidate({
    document_id: verification.id,
    validate_against: {
    submitted_name: customerName,
    submitted_dob: customerDOB,
    submitted_address: customerAddress
    }
    });
    3

    Perform Face Match

    Match selfie against ID photo

    const faceMatch = await client.kyc.matchFace({
    id_photo: extraction.photo,
    selfie_url: customerSelfie,
    liveness_check: true
    });

    Feature Extractors Used

    Retriever Stages Used

    Expected Outcomes

    99% accuracy in document verification

    Verification Accuracy

    80% faster customer onboarding

    Onboarding Speed

    95% of fraudulent documents caught

    Fraud Detection

    85% reduction in documents needing manual review

    Manual Review

    25% improvement in onboarding completion

    Customer Conversion

    Frequently Asked Questions

    Ready to Implement This Use Case?

    Our team can help you get started with Automated KYC Document Verification in your organization.