TCO Calculator
for Data Extraction from Invoices

Enterprises receive vendor invoices in diverse formats ranging from structured PDFs to handwritten or scanned documents with irregular layouts. Manually extracting key fields and line items is labor-intensive, error-prone, and slows down downstream processes like accounting, reconciliation, and compliance.

AI-powered data extraction automates the capture of invoice details across formats and complexities. By accurately extracting fields, line items, and metadata, enterprises reduce manual effort, ensure accuracy, and accelerate financial operations.

This total cost of ownership calculator helps you evaluate the true ROI of automating invoice data extraction using modern AI-powered alternatives over traditional OCR-based solutions.

TCO with Existing Solution

If your organization relies on legacy OCR for invoice data capture, accuracy typically caps at about 80%. OCR struggles with handwritten invoices, poor scans, and complex tables, forcing analysts to manually recheck and re-enter data. This results in higher costs and slower processing cycles.

TCO with AI-based Solution

Modern AI systems combine OCR with NLP and vision models to extract both header fields and line items with higher accuracy, often around 92% accuracy ±2%. However, generic AI solutions still cannot pinpoint exactly where extraction errors occur, requiring manual verification to ensure correctness.