Invoice OCR accuracy: where automation stops — Guia pràctica per a restaurants
Un mètode concret amb factures, números i controls per prendre decisions de compres.
A restaurant decision is only as reliable as its source and assumptions. Clean PDFs may reach 97–99% field accuracy, while faded or crumpled scans can fall below 85% on line details. Write the baseline, show the formula, and separate an observed result from an illustrative estimate. A good guide gives the manager a practical review path, a threshold for action, and a date to check whether the correction worked.
What the data can and cannot tell you
- Treat field accuracy and line accuracy separately; a correct vendor name does not validate a price.
- Expect decimal shifts, merged lines, tax-column confusion, and pack-size loss on poor images.
- Use confidence thresholds plus materiality thresholds, for example review every line over €250.
- Never overwrite the original image when a reviewer corrects extracted data.
A worked example
A restaurant compares a dated source with an expected result and finds a gap. These numbers show the method only; they are not a verified customer case.
| Clean PDF | 97–99% fields | Consistent supplier layout |
|---|---|---|
| Phone photo | 90–96% fields | Glare and skew need review |
| Faded/crumpled scan | Below 85% lines | Decimals and quantities are fragile |
| Fallback | Human review | Keep image, confidence, and correction |
Use the calculation only when the source, unit, and exception log are visible. Treat it as illustrative until your own records confirm it.
A repeatable process
- 1Define the question. Write the decision, source, unit, time window, and threshold before opening the spreadsheet.
- 2Reconcile inputs. Match identifiers, quantities, dates, credits, and exceptions. Flag missing evidence instead of guessing.
- 3Calculate the gap. Show formula, baseline, observed result, and illustrative impact. Keep price separate from waste or process variance.
- 4Review and act. Have a manager review material exceptions, agree one action, and set a date to measure it.
FAQ
- What is the most common mistake?
- Comparing numbers that look similar but use different units, dates, specifications, or commercial terms.
- How precise should the result be?
- Precise enough to support a decision, not more precise than the source. Preserve the underlying invoice, image, or count.
- When should a person review it?
- Whenever confidence is low, the amount is material, the item is unusual, or an exception changes the conclusion.
- Are the savings figures guaranteed?
- No. All figures in this guide are illustrative. Validate the formula and opportunity against your own records.
Continua llegint
- Una revisió de factures de 15 minuts que atrapa allò que les auditories perden
Cinc comprovacions, en ordre, que detecten errors de preus abans d'arribar a la comptabilitat.
- Caça la deriva de preus a factures abans que es mengi el teu marge
Compara cada línia de factura amb preus unitaris esperats i actua sobre desviacions reals, no soroll.
- Problemes de coincidència de factures i com resoldre cadascun
Les sis maneres en què es trenca la coincidència triple: duplicats, proveïdors fantasma, deriva de preus, faltants, substitucions i descquadres d'extracte.
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