PDF Analyser
Extract, classify, and structure data from any financial PDF — bank statements, invoices, receipts. Powered by advanced OCR and document AI that understands financial context. 50× faster than manual data entry.
Advantages over manual analysis
Manual PDF data entry is slow, error-prone, and doesn't scale. Here's how the PDF Analyser changes the equation.
Key features
Intelligent OCR
Advanced optical character recognition reads scanned and handwritten text from any financial document with high accuracy.
AI-Powered Extraction
Machine learning models trained on thousands of financial documents understand context — they know the difference between an account number and a sort code.
Smart Table Detection
Automatically identifies tables, line items, and repeating structures. Handles merged cells, multi-page tables, and irregular layouts.
Data Validation
Built-in validation rules check extracted data for consistency. Flags anomalies, missing fields, and out-of-range values automatically.
Multi-Format Support
Works with bank statements, invoices, receipts, tax forms, pay slips, and more. Supports both digital and scanned PDFs.
Structured Export
Exports extracted data to Excel (.xlsx) or CSV. Clean column headers, consistent formatting, ready for analysis or upload to accounting software.
How it works
Upload
Drag and drop your PDF — bank statement, invoice, or receipt. We support single and batch uploads.
Process
Our AI analyses the document. OCR reads text, models identify tables, and extraction rules capture the data.
Review
Review extracted data in our interface. Flagged items are highlighted for quick verification.
Export
Download structured Excel files or CSV. Data is clean, consistent, and ready for your workflow.
Built for professionals and organisations
For Lenders
View documentation- Accountants save hours per client during month-end close
- Auditors extract supporting documents 50× faster than manual review
- Financial analysts get clean data without waiting for data entry
- Loan officers process applicant statements in under 30 seconds
- Bookkeepers eliminate transcription errors from bank statement entry
For Organisations
- Banks automate statement verification across thousands of customers
- Microfinance institutions process loan applications in minutes not days
- Accounting firms scale services without proportional headcount growth
- Fintechs integrate document extraction via our API
- Regulatory reporting teams extract data from PDF submissions instantly
Common use cases
Bank Statement Analysis
Extract transactions, balances, and metadata from any bank statement PDF. Supports all major Nigerian and international banks.
Invoice Processing
Capture vendor details, line items, totals, and tax amounts from invoices. Export directly to accounts payable systems.
Receipt Digitisation
Turn paper receipts into digital records. OCR reads faded or thermal-printed text that traditional scanners miss.
Loan Application Processing
Extract income, expenses, and financial history from applicant statements. Reduces loan processing time from hours to minutes.
Audit Evidence Collection
Pull supporting documents from large PDF portfolios. Structured extraction makes audit trails easy to compile and review.
Regulatory Reporting
Extract data from regulatory submissions and returns. Consistent output ensures compliance reports are accurate and on time.
Ready to eliminate manual PDF data entry?
Start with our Free plan — 5 PDF analyses included. No credit card required.