Who should use the Identity Document Verification Workflow workflow?
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
AI Workflow · Finance & Legal
A streamlined workflow to verify the authenticity of identity documents and match faces, with regulatory compliance checks.
Deliverable outcome
A final verification decision with a comprehensive, auditable report ready for compliance review.
30-90 minutes
Includes setup plus initial result generation
Free to start
You can swap tools by pricing and policy requirements
A final verification decision with a comprehensive, auditable report ready for compliance review.
Use each step output as the input for the next stage
Step map
Instead of relying on a single generic AI model, this pipeline connects specialized tools to maximize quality. First, you'll use Sumsub to a clean, normalized image of the identity document ready for data extraction and authenticity checks. Then, you pass the output to Sumsub to structured, validated document data with confirmed internal consistency. Then, you pass the output to Onfido to a confidence score indicating whether the document is genuine, tampered, or suspicious. Then, you pass the output to Face++ to a verified face match between the document holder and the live user, with spoofing attempt rejected. Then, you pass the output to Sardine to a compliance clearance status (pass, fail, or manual review) with audit trail of screened lists. Finally, DocuSign is used to a final verification decision with a comprehensive, auditable report ready for compliance review.
Capture and Preprocess Identity Document
A clean, normalized image of the identity document ready for data extraction and authenticity checks.
Extract and Validate Document Data
Structured, validated document data with confirmed internal consistency.
Verify Document Authenticity
A confidence score indicating whether the document is genuine, tampered, or suspicious.
Capture and Match Face to Document Photo
A verified face match between the document holder and the live user, with spoofing attempt rejected.
Perform Regulatory and Sanctions Screening
A compliance clearance status (pass, fail, or manual review) with audit trail of screened lists.
Compile Verification Report and Decision
A final verification decision with a comprehensive, auditable report ready for compliance review.
Use a mobile or web camera to capture the front and back of the identity document (e.g., passport, driver's license). Apply image preprocessing to correct skew, lighting, and perspective. Extract the document region and enhance contrast for OCR readiness.
Why Sumsub: Sumsub provides a complete identity verification solution including document capture, image processing, and MRZ parsing, covering all sub-needs of this step.
Apply OCR to extract printed text fields (name, date of birth, document number, expiration date) and MRZ data. Cross-validate the MRZ checksum and compare extracted fields between OCR and MRZ for consistency. Flag any mismatches for manual review.
Why Sumsub: Sumsub includes OCR and MRZ decoding as part of its document verification pipeline, fulfilling both extraction and validation needs.
Analyze the document image for security features: holograms, microprinting, UV patterns (if UV light available), font consistency, and liveness indicators (e.g., ghost images). Use a trained ML model to detect forgery patterns (e.g., Photoshop artifacts, edge tampering). Optionally, query a government database or document registry for real-time validation.
Why Onfido: Onfido specializes in document authenticity verification using computer vision and forgery detection models.
Prompt the user to take a live selfie or short video. Perform liveness detection (blink, head turn) to prevent spoofing. Extract facial features from both the document photo and the live image, then compute a similarity score using a face recognition model. Accept match if score exceeds threshold (e.g., 0.7).
Why Face++: Face++ provides facial identity verification, liveness detection, and skeletal tracking, covering all sub-needs of face capture and matching.
Extract the full name, date of birth, and nationality from the validated document data. Query global sanctions lists (e.g., OFAC, UN, EU), PEP (Politically Exposed Persons) databases, and adverse media sources. Use fuzzy matching to account for name variations. Flag any hits for manual review.
Why Sardine: Sardine includes AML transaction monitoring and suspicious activity reporting, which covers sanctions screening and regulatory compliance needs.
Aggregate results from all previous steps (document authenticity score, face match score, sanctions clearance). Apply a business rule engine to determine final decision: approve, reject, or escalate. Generate a tamper-proof PDF report with timestamps, confidence scores, and audit trail. Optionally, store the report in a secure compliance repository.
Why DocuSign: DocuSign provides legal document execution, automated agreement workflows, and digital signature capabilities, covering report generation and signing needs.
§ Before you start
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
No. Start with the top pick for each step, then replace tools only if they do not fit your pricing, compliance, or output needs.
Open the mapped task page and compare top options side by side. Prioritize output quality, integration fit, and predictable cost before scaling.
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