THE USE CASE
Where this helps.
Reduce rekeying work with clear approval gates. Use document recognition and language models to extract structured fields for human verification.
How to try it responsibly
- 01
Choose specific fields such as vendor, invoice date, total, and purchase order.
- 02
Test on representative documents, including rotated scans and irregular layouts.
- 03
Flag low-confidence or inconsistent values before accounting-system import.
A starting prompt
STARTING TEMPLATE / ADAPT TO YOUR CONTEXT
Return JSON with invoice_number, vendor, due_date, currency, total, and missing_fields; never infer absent values.
How to verify the result
Sample-check numeric fields, currencies, and duplicate detection before posting.
Limits and failure cases
Financial fields require review; do not permit unverified payment actions.
Editorial note: This is a practical starting example, not an independent performance benchmark or a guarantee that a specific product can complete the workflow autonomously. Test with your own permissions, tools, and representative cases. Relevant technical/reference source ↗