How to Extract Credit Card Documents and Send Data to Any Target

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Workflow Name:

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

Vision / LLM
Model Provider:

Goldfinch AI / OpenAI
Task Type:

Secure Data Extraction
Input Type:

PDF / Image
Output Format:

JSON / CSV
Who Uses It:

Finance Ops; Compliance Teams
Category:

Description

Problem Before:

Manual handling of card documents
AI Solution:

OCR + tokenized card data extraction
Validation (HITL):

Masked QA review
Accuracy Metric:

Field-level accuracy %
Time Savings:

85% faster processing
Cost Impact:

Lower compliance effort

Extract Credit Card Document and Send It to Any Target

This workflow enables Credit Card Extraction using vision and LLM models to securely process credit card documents from PDFs or images.

Secure Financial Data Processing

The system identifies and structures sensitive card-related information, applies validation and security controls, and exports the results in JSON or CSV to any target system. It supports finance operations and compliance teams by reducing manual handling, improving accuracy, and ensuring secure document processing

Watch Demo

Video Title:

AI Document Understanding – Data Flow & Use Cases
Duration:

12:24

Outcome & Benefits

Accuracy:

97%
Touchless Rate:

80%
Time Saved:

From 6m to 1m/doc
Cost Saved:

$0.50 per doc

Functional Details

Business Tasks:

Card metadata extraction
KPI Improved:

Security; processing time
Scheduling:

Batch / Real-time
Downstream Use:

Datalake / Risk Systems

Technical Details

Model Name/Version:

GPT-4o-mini Vision
Hosting Type:

Secure API / Cloud
Prompt Strategy:

Schema + masking rules
Guardrails:

PCI masking; redaction
Throughput:

80 docs/min
Latency:

~2s/doc
Data Governance:

No storage of raw PAN

FAQ

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

It is an AI-powered workflow that securely extracts structured data from credit card documents using vision and LLM models and sends the output to any target system.

2. How does the workflow work?

The workflow ingests credit card documents in PDF or image format, applies vision and LLM models to extract relevant fields, enforces security rules, and exports the data in JSON or CSV format to the configured target.

3. What type of information can be extracted?

It can extract details such as cardholder name, masked card number, issuer, expiration date, billing address, and other permitted metadata based on security policies.

4. How is sensitive data protected?

The workflow applies secure data handling practices such as masking, encryption, and access controls to ensure compliance with PCI and internal security requirements.

5. What is the output of the workflow?

The securely extracted data is output in JSON or CSV format and can be sent to finance systems, compliance platforms, Datalake, or other approved targets.

6. Who uses this workflow?

Finance Operations Teams and Compliance Teams use this workflow to automate document processing while maintaining strict data security and regulatory compliance.

7. What are the benefits of automating credit card document extraction?

Automation reduces manual handling of sensitive data, improves accuracy, enhances security controls, and supports faster, compliant financial operations.

Case Study

Industry:

Banking / FinTech
Problem:

Sensitive document handling
Solution:

Secure AI extraction
Outcome:

Faster and compliant processing
ROI:

2-month payback

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