AP Central AI Accuracy Report
Comprehensive testing of 10,000+ real-world invoices demonstrates industry-leading 98.2% accuracy in automated invoice processing
Key Accuracy Metrics
Across all invoice types and formats
Vendor name and details extraction
Invoice totals and line items
Invoice and due dates
Testing Scope & Methodology
Accuracy by Data Field
Accuracy by Invoice Type
Industry Comparison
| Method | Accuracy | Cost per Invoice | Processing Time |
|---|---|---|---|
| AP Central AIBest | 98.2% | $0.35 | < 1 min |
| Manual Entry | 94.5% | $12.50 | 15 min |
| Basic OCR | 89.3% | $3.00 | 5 min |
| Offshore Processing | 92.1% | $5.00 | 24 hrs |
* Accuracy rates based on industry averages and internal testing
Testing Methodology
Over 10,000 real-world invoices were collected from 200+ diverse vendors across multiple industries. Invoices included various formats (PDF, images, email attachments), layouts, and quality levels to represent actual business scenarios.
Each invoice was manually verified by trained data specialists to establish ground truth values. All critical fields (vendor, amount, dates, line items) were validated and cross-checked for accuracy.
AP Central's AI engine processed all invoices without human intervention. Results were automatically compared against ground truth data, with accuracy calculated for each field type and overall performance.
Testing was conducted by an independent third-party firm specializing in AI validation. Results were audited and verified to ensure objectivity and accuracy of reported metrics.
Key Findings
Superior to Manual Entry
AP Central's 98.2% accuracy exceeds the industry average of 94.5% for manual data entry, while processing invoices 15x faster at 1/35th the cost.
Consistent Performance
Accuracy remained stable across all invoice types, with variation of less than 2% between best and worst performing categories.
Continuous Improvement
Machine learning models showed 3.2% accuracy improvement over the 12-month testing period through continuous learning from corrections.
Format Agnostic
Strong performance across 450+ different invoice formats with no degradation for non-standard layouts or handwritten elements.
Understanding the Results
The 98.2% accuracy rate achieved by AP Central represents a significant advancement in automated invoice processing technology. This level of accuracy translates directly to reduced manual review time, fewer payment errors, and improved vendor relationships through faster, more accurate payments.
What makes these results particularly noteworthy is the consistency across different invoice types and formats. Unlike traditional OCR solutions that struggle with non-standard layouts, AP Central's machine learning models maintain high accuracy regardless of invoice complexity or format variation. This means businesses can automate their entire AP workflow without creating exceptions for certain vendor formats.
The continuous learning capability of AP Central's AI engine means accuracy improves over time. As the system processes more invoices and receives corrections, it learns to handle edge cases and unique vendor formats more effectively. Organizations typically see accuracy improvements of 3-5% within the first six months of deployment as the system adapts to their specific vendor ecosystem.
Real-World Business Impact
For a typical organization processing 1,000 invoices monthly, 98% accuracy means only 20 invoices require manual review or correction. Compare this to manual data entry at 94.5% accuracy, which results in 55 errors per 1,000 invoices. This 35-invoice difference translates to significant time savings and reduced processing costs.
Beyond direct cost savings, higher accuracy rates improve cash flow management and vendor relationships. Accurate invoice processing enables organizations to take early payment discounts, avoid late payment penalties, and maintain strong vendor partnerships through reliable, timely payments. These indirect benefits often exceed the direct cost savings from automation.