DSDillon / Business applications
Handling Invoice Extraction Errors and Duplicates
An invoice reader needs a place for uncertainty. Review should show the original document, the proposed fields and the reason a check failed.
Check the individual fields
A correct total does not prove that the supplier, currency or invoice number is correct. Define acceptance for each required field. Keep the extracted value and the approved correction in the history.
The sample set should include multiple layouts, credit notes, poor scans and multi page documents. Report the results separately for each document type.
Compare more than the file name
A supplier can send the same invoice with a different file name. A scanned copy can differ from the original PDF. Compare the content fingerprint and business fields such as supplier, invoice number, currency and amount.
A possible duplicate should enter review. Similar amounts from recurring invoices are not sufficient grounds to discard a document automatically.
Interactive example / sample records
Check the numbers before posting.
This illustration runs in your browser with fixed sample data. It has no live booking, document processing or customer account connection.
Require the checks that matter
Arithmetic, supplier matching, purchase order matching and approval can each be a separate step. A reading confidence score needs validation against real examples and should not be the only condition for posting.
The demonstration on this page uses fixed example values. It shows the review behavior without uploading a file or creating a financial record.
Project questions
Can extraction be completely accurate?
Accuracy depends on the documents and fields. Acceptance should use a representative test set and a defined review threshold.
What happens after a correction?
The corrected values, reviewer and destination record should remain linked to the original document.
DSDillon / Buyer guide / Updated 26 September 2026
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