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Image / Document AI

Service Overview

KYC verification, fraud detection, signature verification, and intelligent document processing powered by computer vision and modern OCR pipelines. Our image and document AI is deployed at financial-services and recruiting clients where accuracy, audit trails, and compliance are non-negotiable.

We combine traditional CV models with multimodal LLMs (Claude, GPT-4o vision) to extract structured data from messy real-world documents — invoices, IDs, signatures, contracts, scanned forms — and validate it against your business rules and external databases.

Capabilities

Each capability ships with audit trails, exception handling for human review, and integration with your downstream systems (ERP, CRM, banking core).

"Quantal AI and Team are EXPERTS at building ANY AI functionality you're seeking — completed ON TIME and UNDER BUDGET." — Melissa C, myhomecarebiz.com

KYC Document Verification

ID authenticity verification, facial recognition with liveness detection, OCR text extraction and validation, regulatory compliance.

Fraud Detection

Document tampering detection, signature forgery patterns, cross-reference validation against databases, real-time risk scoring.

Signature Verification

Biometric signature analysis, pressure and stroke pattern recognition, historical comparison, legal-grade audit trails.

Invoice Processing

Multi-format support (PDF, image, scanned), automatic extraction and validation, accounting system integration, exception workflows.

Frequently Asked Questions

Common questions about computer vision and document AI deployments.

  • What accuracy can we expect?
    Typical production accuracy: KYC ID extraction 98%+, signature match 95%+, invoice line-item extraction 92-97% depending on document quality. Edge cases route to human review.
  • Which document types are supported?
    Indian PAN/Aadhaar/passport/DL, US/EU/MENA IDs, GST invoices, bank statements, contracts, KYC forms, bills, prescriptions. Custom document types can be onboarded in 2-3 weeks.
  • How do you handle handwritten content?
    For handwriting we use multimodal LLMs that handle messy handwriting better than traditional OCR — paired with a confidence threshold so low-confidence extractions go to a human reviewer.
  • Can it run on-prem for data sensitivity?
    Yes — for financial-services and healthcare clients we deploy on-prem or in-VPC with no document data leaving your infrastructure. We use models that fit on a single GPU when needed.