Finance operations

Invoice and Receipt OCR

Capture invoice and receipt data with maximum consistency and audit-ready clarity.

Who this delivers the biggest impact for

Finance ops and accounting teams that need high trust under tight close cycles

Manual extraction of totals, tax, and due dates is slow, expensive, and error-prone.

Live sample output

Input: 2 vendor invoices and 5 mobile receipt scans.

Confidence and citations flag low-certainty fields for QA before ERP posting.

Step 1

Upload invoices and receipts via UI or API in repeatable, low-friction batches.

Step 2

Normalize key fields across diverse layouts with controlled schema contracts.

Step 3

Deliver JSON/CSV outputs directly into accounting and reconciliation workflows.

Use `X-Idempotency-Key` on job creation to keep ingestion replay-safe at high volume.

POST /api/v1/uploads/init

PUT /api/v1/uploads/direct/{key}

POST /api/v1/documents

POST /api/v1/jobs

GET /api/v1/documents/:id/outputs

Can we enforce mandatory invoice fields?

Yes. Schema contracts support required fields and validation hints to keep data quality tight.

Will it handle vendor layout variability?

Yes. The extraction layer is built for inconsistent templates, scan quality differences, and mixed document sets.

Capture invoice and receipt data with maximum consistency and audit-ready clarity.