KYC Document Parsing & Verification Workflow

A fintech onboarding team replaced their manual KYC process with a WorqHat workflow that reads an uploaded ID card, extracts structured fields, checks for existing customers, and stores new entries automatically.

Result:

Zero manual data entry
Instant duplicate detection
Consistent KYC records across the system

Previous State

Customer uploads ID →

Agent downloads file →

OCR in a third-party tool →

Manual copy/paste →

CRM update →

Duplicate check (manual) →

Approval

Average processing time: 8–12 minutes per ID.

Error-prone. Slow. Impossible to scale.

Target State

A 7-node WorqHat workflow completes KYC parsing in under 3 seconds.

Workflow Breakdown

1. File Upload Trigger

Purpose: Accept ID card images (Aadhaar, PAN, DL).

Input: file

Output: File object for OCR.

2. Text Extraction (OCR)

Purpose: Convert the uploaded image into raw machine-readable text.

Input: attachments: {{file}}

Output: content (raw OCR text)

3. Text Generation (Structuring AI)

Purpose: Turn raw OCR text into a clean, predictable JSON block.

Prompt:

"Extract the Name, ID Number, and DOB from this raw OCR text:

{{text-extraction.output.content}}.

Return JSON only."

Output (JSON):

{
  "name": "...",
  "idNumber": "...",
  "dob": "..."
}

4. Query Data (Duplicate Detection)

Purpose: Check if the extracted idNumber already exists.

Query:

find customers with ID Number {{structuredData.idNumber}}

Output: records[]

5. If-Else Condition

Condition:

records[] isEmpty → New Customer
else → Existing Customer

Routes workflow accordingly.

6. Add New Data (When New Customer)

Collection: Customers

Fields Saved:

name
idNumber
dob
fileUrl (original uploaded image)

7. Return State

New Customer Branch

{
  "status": 200,
  "message": "Verification Successful",
  "data": "{{structuredData}}"
}

Existing Customer Branch

{
  "status": "error",
  "message": "User Exists"
}

Outcomes

KYC processing time reduced from 10 mins to under ~3 seconds
Consistent field extraction across ID formats
Eliminated manual entry errors
Automatic DB hygiene via duplicate detection
Instant feedback for onboarding flows & customer portals

Recommended Extensions

Add confidence scoring to flag low-quality OCR scans
Auto-notify compliance team for mismatched or suspicious IDs
Attach extracted JSON + file URL to a CRM pipeline
Add Text-to-Speech for voice-based onboarding flows

Next Steps

This pattern can power any high-volume verification pipeline:

Seller onboarding
Loan document verification
Insurance KYC
University admissions
HR background checks

Build it once → reuse everywhere.

👉 Install this template in WorqHat and ship KYC automation in minutes.

Launch "KYC Document Parsing & Verification Workflow" as a workflow