What Is Invoice Capture?
Invoice capture is the process of extracting the relevant data, vendor name, invoice number, line items, amounts, and terms, from a supplier invoice so it can be validated and entered into an accounting system. It is the first real step in invoice processing, and how accurately it works sets the ceiling for how much of the rest of the process can be automated.
How Invoice Capture Has Traditionally Worked
Traditional invoice capture relies on optical character recognition (OCR), which reads the text on a scanned document and attempts to identify which text corresponds to which field. OCR works reasonably well on clean, consistently formatted invoices, but its accuracy drops sharply on scanned images, handwritten notes, or the wide variety of layouts different suppliers use.
Why OCR Alone Falls Short
OCR can read characters, but it does not understand context. It struggles to tell a subtotal from a total, or to correctly associate a line item with the right quantity and price when a layout is unusual. This is why OCR-based systems still generate a high rate of exceptions that require manual correction, especially for smaller or long-tail suppliers whose invoices are not standardized.
AI-Based Invoice Capture
AI models trained on document understanding, rather than character recognition alone, can interpret an invoice more like a person would: recognizing which numbers represent a total versus a line item, handling inconsistent layouts, and adapting to a supplier's specific format over time. This closes much of the gap that traditional OCR leaves for the messy, unstructured invoices that make up a large share of real-world AP volume.
Frequently Asked Questions About Invoice Capture
1. What is invoice capture?
Invoice capture is the process of extracting key data, such as vendor, amount, line items, and terms, from a supplier invoice so it can be validated and entered into an accounting system, regardless of whether the invoice is typed, scanned, or emailed.
2. What is the difference between invoice capture and OCR?
OCR is one technology used to perform invoice capture, specifically reading text characters off a scanned document. Invoice capture is the broader task, which can also use AI-based document understanding to interpret context, not just recognize characters.
3. Why does OCR struggle with some invoices?
OCR can misread scanned or handwritten documents and does not reliably understand which numbers represent totals, subtotals, or line items when layouts vary, leading to a high rate of errors that need manual correction.
4. Can invoice capture handle scanned or handwritten invoices?
AI-based invoice capture tools generally handle these far better than traditional OCR, since they are trained to understand document structure and context rather than only recognizing individual characters.
5. Does invoice capture require suppliers to send invoices in a specific format?
No, not with AI-based capture. Suppliers can continue sending invoices however they normally do, by email, PDF, or scanned image, without needing to adopt a standardized format for the data to be captured accurately.
