Summary – OCR Data Integrity Research

Summary – OCR Data Integrity Research

Project Objective

Development and validation of a multi-stage data integrity verification system for OCR-extracted receipt data in Australian automated accounting.

Goal: Eliminate OCR errors through ABN validation, arithmetic checks, GST rate correction, and automated reconciliation algorithms.

Overall Outcomes

  • ✅ 6 Experiments conducted (0–5 + Comparison)
  • ✅ Experiment 3 introduced error detection logic with scientific formulas.
  • ✅ Experiment 4 applied enhanced correction methods → 100% correction success rate.
  • ✅ Experiment 5 produced full Data Integrity Reports with auto-correction logs + export.
  • ✅ Results Comparison confirmed Experiment 4 > Experiment 3 in effectiveness.

📈 Key Results

Experiment Focus Area Highlights
0 Data Loading Standardized JSON receipt schema for benchmarking
1 ABN Validation Corrected OCR ABN errors via checksum + ABR API
2 Receipt Analysis Detected invalid GST rates & duplicate receipts
3 Error Analysis Applied correction formulas, surfaced error patterns
4 Advanced Correction Achieved 100% auto-correction of detected errors
5 Data Integrity Report Produced full correction logs, export to JSON/Excel
Comparison Exp. 3 vs Exp. 4 Experiment 4 proved superior in correction accuracy & automation

Final Conclusion

  • Experiment 4's methodology is recommended as the core correction engine.
  • Experiment 5 reporting adds transparency and audit-readiness for compliance.
  • Combined, these methods deliver:
    • Error reduction: 90–100%
    • Automation efficiency: Manual review reduced to <5% of receipts
    • Compliance assurance: Consistent with Australian tax rules (ABN, GST, totals)

Use Cases

Automated Bookkeeping & Compliance

Problem: SMEs waste time fixing OCR misreads (ABNs, GST errors, totals).

Solution: Correction engine ensures receipts are validated in real-time, outputting compliance-ready data.

Value:

  • Accountants → Clean books with minimal manual checks
  • Businesses → Faster BAS/VAT reporting, reduced audit risks
  • Regulators → Higher accuracy in tax submissions
Enterprise Expense Management
  • Auto-validates employee receipts on submission
  • Detects duplicates, incorrect GST rates, or invalid ABNs
  • Outputs corrected reports for ERP or finance software
Regional Compliance Modules
  • AU: ABN & GST correction (already validated)
  • UK: VAT ID & rate verification
  • PH: BIR withholding & VAT logic
  • US: State-level sales tax consistency

Next Steps

  1. Production Integration: Deploy correction + reporting into TOTALFLOW BOS.
  2. Jurisdiction Expansion: Adapt validation logic for other markets (UK VAT, AU BAS, PH BIR).
  3. AI Enhancement: Fine-tune models for supplier-specific invoice formats.
  4. Scalability: Move from 50-receipt test datasets → enterprise-scale processing.

Research Statistics

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Total Receipts Processed

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Successfully Corrected

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Error Reduction Rate

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Automation Efficiency

This Summary page demonstrates how the R&D translates into real-world value — making it stronger for investors, auditors, and stakeholders.