How to Extract ID Card Data and Send It to Any Target

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Workflow Name:

Extract ID Card and Send It to Any Target
AI Model Type:

Vision / LLM
Model Provider:

Goldfinch AI / OpenAI
Task Type:

Identity Data Extraction
Input Type:

Image / PDF
Output Format:

JSON / CSV
Who Uses It:

KYC; Compliance Teams
Category:

Description

Problem Before:

Manual ID verification
AI Solution:

OCR + identity field extraction
Validation (HITL):

Escalation-based review
Accuracy Metric:

Entity accuracy %
Time Savings:

90% faster verification
Cost Impact:

Reduced compliance effort

Extract ID Card and Send It to Any Target

This workflow performs ID Card Extraction from scanned images or PDF documents using advanced vision and LLM models.

Automated Identity Data Processing

The system captures personal identity details, structures the information into JSON or CSV format, and sends it to any downstream target system. It helps KYC and compliance teams reduce manual effort, improve data accuracy, and speed up verification workflows.

Watch Demo

Video Title:

How AI can Solve Challenges & Problems of Unstructured Documents?
Duration:

9:13

Outcome & Benefits

Accuracy:

98%
Touchless Rate:

88%
Time Saved:

From 5m to 20s/ID
Cost Saved:

$0.60 per ID

Functional Details

Business Tasks:

Identity verification
KPI Improved:

KYC turnaround time
Scheduling:

Real-time / batch
Downstream Use:

Datalake / KYC Systems

Technical Details

Model Name/Version:

GPT-4o-mini Vision
Hosting Type:

Secure API / Cloud
Prompt Strategy:

ID template-aware prompts
Guardrails:

PII redaction; fraud checks
Throughput:

100 IDs/min
Latency:

~1.5s/ID
Data Governance:

PII isolation; audit logs

FAQ

1. What is the Extract ID Card and Send It to Any Target workflow?

It is an AI-powered workflow that uses vision and LLM models to extract structured identity information from ID cards and send it to any target system.

2. How does the workflow work?

The workflow ingests ID card images or PDFs, applies vision and LLM models to extract identity fields, structures the data, and exports it in JSON or CSV format to the configured target.

3. What types of ID cards are supported?

It supports government-issued IDs such as passports, driver’s licenses, national ID cards, and other official identity documents.

4. How is identity data secured?

The workflow enforces security measures including data masking, encryption, access controls, and compliance with KYC and regulatory requirements.

5. What is the output of the workflow?

The extracted identity data is output in JSON or CSV format and can be sent to KYC systems, compliance platforms, CRMs, or Datalakes.

6. Who uses this workflow?

KYC Teams and Compliance Teams use this workflow to automate identity verification, reduce manual effort, and improve accuracy.

7. What are the benefits of automating ID card extraction?

Automation accelerates identity verification, improves data accuracy, strengthens compliance, and enables seamless integration with downstream systems.

Case Study

Industry:

FinTech / Compliance
Problem:

Slow onboarding
Solution:

AI ID extraction
Outcome:

Faster KYC completion
ROI:

1-month payback

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