How do I review low-confidence invoice extraction results before export?

Direct answer

Low-confidence invoice results should go into a review queue before any spreadsheet, QuickBooks, or ERP export. Lido helps reviewers correct uncertain values and approve only clean invoice records.

For “How do I review low-confidence invoice extraction results before export?”, define the exact fields, rows, review rules, and destination before scaling automation across a larger document batch.

What the workflow should include

The workflow should set confidence thresholds, highlight missing fields, compare totals, capture reviewer corrections, and export only approved rows.

For “How do I review low-confidence invoice extraction results before export?”, pay special attention to layout changes, multi-page invoices, duplicate bills, missing PO data, and values that need finance review; those edge cases usually determine whether the output is usable downstream.

Before scaling “How do I review low-confidence invoice extraction results before export?”, test a small set of real files and compare the extracted rows against the originals so the team can tune fields, review rules, and exports before higher-volume automation begins.

How Lido helps

For teams trying to review low-confidence invoice extraction results before export, Lido combines AI document extraction with spreadsheet-style review, validation, and automation for AP and finance teams.

That lets teams answer “How do I review low-confidence invoice extraction results before export?” with a reusable process that can be tested, corrected, and connected to spreadsheets, AP import files, QuickBooks, or ERPs.

Example workflow

1. Collect invoice PDFs from email, shared folders, uploads, or another intake path.
2. Define the target fields or table columns: low-confidence fields, exceptions, and approval status.
3. Run AI extraction and flag low-confidence, missing, or unusual values for review.
4. Export approved results to Excel, Google Sheets, QuickBooks, or an ERP-ready file and monitor exceptions over time.