| cff-version: 1.2.0 | |
| message: "If you use this benchmark, please cite it as below." | |
| type: dataset | |
| title: "Invoice Extraction Benchmark v1: 181 synthetic invoices, photos, scans and handwritten documents with answer keys" | |
| abstract: >- | |
| A synthetic test set for invoice data extraction: 181 documents (clean PDFs, | |
| phone photos and scans at three damage grades, handwritten invoice books, | |
| credit notes, dual-currency and VAT-inclusive invoices, multi-page invoices, | |
| several invoices in one file, supplier statements, and invoices whose printed | |
| totals deliberately do not add up), with an answer key per document, a scorer, | |
| and the generator that reproduces the documents from seed 42. Made by | |
| InvoiceParser Pro, an invoice extraction vendor. | |
| authors: | |
| - name: "InvoiceParser Pro" | |
| website: "https://invoiceparserpro.com" | |
| version: "1.0" | |
| date-released: "2026-10-04" | |
| repository-code: "https://github.com/DrewKraken/invoice-extraction-benchmark" | |
| url: "https://invoiceparserpro.com/accuracy" | |
| license: CC-BY-4.0 | |
| keywords: | |
| - invoice extraction | |
| - invoice OCR | |
| - document AI | |
| - intelligent document processing | |
| - accounts payable | |
| - benchmark | |
| - synthetic dataset | |