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Show-your-work vs black-box invoice extraction

Last reviewed

Black-box invoice extraction returns one value per field with no sign of how sure it is, so you end up re-checking everything. Show-your-work extraction, the approach InvoiceJet takes, has two models read the invoice, checks the math, and shows a confidence level and the source text for every field. You review the uncertain fields and leave the rest.

Every invoice tool demos well on a clean PDF. The difference shows up on the skewed scan or the vendor with an odd layout, when one field is read wrong. Does the tool tell you it was unsure?

This page compares the two approaches, not specific products.

InvoiceJetBlack-box AI extraction
What you get per fieldA value, a confidence level (high, mid, low), and a citation to the source on the document.A value. No indication of how sure the model is.
How wrong readings are caughtTwo independent models must agree, and math checks (line items sum, subtotal plus tax equals total) must pass.A single model's output is taken as the answer.
How much you re-checkOnly the fields flagged as uncertain. Clean invoices are marked verified with no clicks.Everything, because you cannot tell which fields to trust.
Verifying a valueClick the field to see the exact text it came from. On PDFs with a text layer it is highlighted on the page.Open the document and find it yourself.
What 'automated' savesThe checking, which is the slow part.Only the typing, if you still check every field.

Common questions

Does showing confidence mean it is less accurate?

No. Every reader is unsure about some fields. Showing it lets you fix the few that matter. Without it, every field looks equally certain and you find the error at reconciliation.

Why two models instead of one?

When two independent models must agree, one model's misread doesn't go through unnoticed. Agreement plus a math check on the totals is what lets a field pass without a person looking at it.

Keep reading

Try it on your own invoices

10 invoices a month free, no card. Every field comes back with a confidence level and the text it was read from.