Pick a sample on the left. Watch the workflow run. Inspect the structured output. This is a mock — real builds adapt to your tools and data.
Pick any sample. Each one ships with its own raw document, schema, confidence scores, and review rules — same as a real implementation.
Mocked latency. In production, the same stages run on your inbox, your storage, and your tools.
Left: what landed in the inbox. Right: what your system of record gets.
ACME SUPPLIES LLC INVOICE
1450 Industrial Pkwy, Reno NV 89502
Invoice #: INV-2041 Date: 04/30/2026
Bill To: Northbound Logistics, Attn: AP
Qty Description Unit Amt
2 Pallet wrap, heavy 120.00 240.00
14 Steel banding (50ft) 310.00 4 340.00
1 Freight (LTL) 3 840.00
Subtotal 8 420.00
Tax 8% 673.60
TOTAL 9,093.60
Remit to: Acme Supplies LLC, Acct ****8821
Notes: net 30 — please reference PO-7741Run the pipeline to see fields, confidence, validation, and exports.
Each field carries a confidence score. Below threshold lands in the review queue.
Fields appear after the pipeline runs. Each row shows the extracted value, a confidence score, and whether it can auto-approve or needs a human.
Validation runs after extraction — totals reconcile, sanctions cleared, playbook compared. Errors block exports.
Anything the model is not sure about, or anything that breaks policy, drops here with the source page side-by-side.
Approved records flow to your systems. Items that need review wait until a human signs off.
After approval, structured records are pushed to your downstream systems. Each export carries a back-link to the source document.
Mock document samples. Client deployments connect to real OCR, storage, accounting, contract, and approval systems with audit trails on every field.
The preview above uses mock document samples. Real implementations connect to your inbox, Drive, S3, SharePoint, OCR engines, accounting tools, ERP, or contract systems with human review and audit trails around every field.