Extract Invoice Data at Scale
Invoice Processing
Extract Invoice Data at Scale
Process thousands of invoices per hour with human-level accuracy. Extract line items, totals, vendor information, and payment details without templates or manual configuration.

Why Retab for Invoices
Purpose-built for Financial Documents
Our vision language models understand document semantics, not just text patterns. That means accurate extraction from any invoice format.
No Template Engineering
Process any invoice format without pre-configuration. Our models understand document structure and extract fields intelligently.
99.5% Accuracy
Human-in-the-loop validation ensures data quality that meets audit requirements. Flag uncertain extractions for review.
Scale Instantly
Process 10 invoices or 10,000 invoices with the same API call. No infrastructure changes needed as your volume grows.
How It Works
Three Steps to Automation
From document upload to structured output in seconds. Integrate with your existing systems via API or direct export.
Upload Documents
Send invoices via API, email integration, or upload directly to the platform. We support PDF, images, and scanned documents.
AI Extraction
Our vision language models parse every field with contextual understanding. Line items, totals, dates, and vendor details extracted automatically.
Structured Output
Receive clean JSON via webhook, sync directly to your ERP, or export to spreadsheets. Data ready for your downstream systems.
Upload Documents
Send invoices via API, email integration, or upload directly to the platform. We support PDF, images, and scanned documents.
AI Extraction
Our vision language models parse every field with contextual understanding. Line items, totals, dates, and vendor details extracted automatically.
Structured Output
Receive clean JSON via webhook, sync directly to your ERP, or export to spreadsheets. Data ready for your downstream systems.
By the Numbers
“Retab reduced our invoice processing time from days to minutes. The accuracy on complex line items was remarkable, even for handwritten notes and poor-quality scans.”
Director of Finance Operations
Enterprise Manufacturing Company