Prevent Double Payments Before They Clear
Content-based fingerprinting catches duplicates that header-level checks miss. Different invoice numbers, reformatted dates, renamed files — none of it fools the engine.
3–5%
AP Contains Duplicates
100%
Detection Rate
$0
False Positives Cost
<1s
Detection Speed
SHA-256 hash of vendor name + sorted line items (description, quantity, unit price). Order-independent — same content always produces the same fingerprint.
Every new invoice fingerprint is compared against all previously processed invoices for the same customer. Instant lookup — no performance impact.
Duplicates are flagged immediately during ingestion — before they enter the approval queue. Shows the original invoice number and processing date.
Every caught duplicate is logged with the dollar amount that would have been double-paid. Cumulative savings visible on the dashboard.
Goes beyond invoice number matching. Two invoices with different numbers but identical line items are caught.
Fingerprints are scoped per customer account — no cross-tenant data exposure. BYOC architecture keeps everything isolated.
Duplicates are caught before running the expensive 3-way match pipeline — saving compute and preventing false approvals.
Full history of detected duplicates with timestamps, original invoice references, and dollar amounts avoided.
Corrected invoices with different line items (amounts, quantities) produce a different fingerprint and are not flagged. Only identical content triggers detection.
Yes. The fingerprint is computed from extracted content, not the file itself. A PDF and a rescanned copy of the same invoice produce the same fingerprint.
The engine checks document type during extraction. Credit memos are tracked separately and cannot produce false duplicate flags against invoices.
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