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MatScan AI: Financial Document Intelligence Reimagined

Automating Bank Statement & Payslip Extraction Using OCR, N8N, and Multi-LLM Pipelines 

Client Overview

A UAE-based FinTech company partnered with Prakash Software Solutions Pvt. Ltd. (PSSPL) to eliminate the tedious process of manually extracting financial data from bank statements and payslips. Lenders, mortgage brokers, and credit analysts who use structured financial data to evaluate clients are served by the client’s platform. 

Their objective was to create a real-time, AI-powered pipeline that reads, comprehends, and converts scanned documents into organized, useable data for client dashboards. 

Industry

FinTech / SaaS

Location

UAE

Company Size

50+ employees

Project Duration

3 Months

Services Provided

Technologies used

OCR Engine

N8N

Mistral

Qwen

Claude 3 Sonnet

Webhook & APIs

Challenges

MatScan AI was more than just another OCR tool. Processing extremely variable, frequently low-quality documents, such as scanned payslips and bank statements, and extracting organized, verified data for end-user presentation was the problem. 

Key Challenges We Addressed

How PSSPL Helped

We created and implemented MatScan AI, a scalable, reliable document processing pipeline powered by AI that extracts financial data with minimal human oversight. 

We were able to produce a dependable, highly accurate solution within short turnaround times because to our agile methodology and excellent cross-team cooperation. 

“MatScan AI isn’t just automation—it’s precision at scale. It transformed how financial data is extracted and delivered for real-time decision-making.”

Rahul Pandey

Senior AI Developer, PSSPL

What MatScan AI Delivers

Webhook triggers allow administrators to upload documents, which then automatically enter the pipeline. 

OCR programs are used to parse scanned PDFs and pictures for raw text. 

AI-Powered Document layout is mapped by parsing LLMs (Mistral & Qwen), which also extract context-rich chunks; Claude Sonnet produces neat, organized JSON outputs. 

Data accuracy, format alignment, and consistency are guaranteed via auto-validation logic. 

The user-facing interface receives extracted financial data with structured summaries via API. 

Reimagine Financial Document Processing with AI

Financial platforms, administrative teams, and underwriters can now automatically and quickly extract income, balance, and transaction data from payslips and bank statements thanks to MatScan AI. Regardless of how many papers you handle each day—ten thousand or ten thousand—your activities grow more intelligent, efficient, and error-free.

No More Manual Data Entry. No More Delays. Just Accurate, Structured Financial Insights—On Demand.

Intelligent Extraction. Real-Time Results. Zero Human Effort.

Implementation Journey

Discovery & Workflow Design

Analyzed document formats, mapped fields, planned pipeline.

Pipeline Engineering

Developed OCR modules, N8N workflow, and webhook trigger.

AI Integration & Tuning

Claude Sonnet, Mistral, and Qwen were integrated for parsing.

Go-Live & Monitoring

Deployed system, connected API with frontend, added logging.

Testing & Validation

Testing in the real world with various document kinds.

matscan ai key outcomes

Key Outcomes

End-to-End Automation

No manual data entry or parsing—fully hands-free workflow

Cross-Format Support

Handles PDFs, scans, and even low-resolution uploads

5X Faster Turnaround

Structured output delivered in seconds, not hours

99%+ Accuracy

High-precision financial field extraction with LLMs

Ready-to-Integrate

Reduces hiring teams' weekly coordination hours significantly.

Project Highlights

Reimagine Document Handling with AI

No more slow, error-prone financial data extraction. 

MatScan AI processes bank statements and payslips instantly with high accuracy. 

Fully Automated | LLM-Powered | Real-Time Ready