Enterprises dealing with global suppliers often receive purchase orders in multiple currencies, making financial reporting and reconciliation complex. Traditional OCR-based systems struggle with currency symbol recognition, exchange rate handling, and format inconsistencies, leading to errors and costly manual corrections. This slows down procurement and finance workflows while increasing compliance risks.
AI-powered multicurrency extraction automates currency recognition, normalization, and conversion for accurate downstream processing. By standardizing currency formats, organizations improve reporting consistency, reduce manual intervention, and accelerate order-to-cash operations.
This total cost of ownership calculator helps you evaluate the true ROI of the category using modern AI powered alternatives over traditional OCR based solutions.
Key Use Cases:
Multi-Currency Processing (POs)
Processes purchase orders in multiple currencies by normalizing currency formats for consistent financial reporting.
Multi-Currency Processing (Invoices + POs)
Processes invoices and purchase orders in various currencies by normalizing formats for downstream consistency.
Start by selecting a typical scenario or adjust the baseline details to reflect your exact needs. The calculator will update automatically.
Legacy OCR systems typically achieve 80% accuracy and cannot reliably detect or normalize currency symbols and formats. This forces finance teams to spend significant time manually verifying amounts and reconciling data, which increases cost and slows down reporting.
Modern AI combining OCR, NLP, and vision achieves 92% accuracy ±2% and can process multicurrency data more consistently. However, generic AI models cannot always detect normalization errors, meaning finance analysts must still verify extracted values before integration.
Your AI investment isn’t delivering expected savings. This may indicate inefficiencies or incorrect assumptions in your current workflow.
Contact us to identify more optimization opportunities.
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