Automated invoice capture & data extraction
DocLib captures supplier invoices and extracts structured data using AI-powered OCR. Finance teams can standardize invoice intake, reduce manual entry, and prepare invoices for matching and approval workflows.
Manual invoice capture creates downstream processing delays
Finance teams often receive invoices in multiple formats — PDFs, email attachments, scanned documents, and supplier uploads. Manually reviewing and indexing these documents slows intake and creates inconsistencies before invoices even enter processing workflows.
Without structured invoice capture, teams face:
How the invoice capture and document processing works
DocLib captures supplier invoices from multiple channels and converts them into structured invoice data using AI-powered, template-free OCR. Header and line-level information is extracted automatically, reducing manual indexing and preparing invoices for downstream processing.
Capture invoice data automatically from supplier documents
DocLib ingests invoices and extracts key invoice fields including: vendor details, invoice numbers, totals, and line items — and converts them into structured records.
Multi-channel invoice capture
Invoices can be captured from multiple sources including email inboxes, document uploads, scanned files, or integrated supplier submission channels.
This allows organizations to consolidate invoice intake into a single processing workflow.
AI-Powered data extraction with DocIndex
DocIndex automatically extracts key invoice fields such as vendor name, invoice number, invoice date, line items, totals, and tax information from supplier documents.
To help maintain high levels of accuracy, DocLib combines AI-driven document processing with human oversight from our team of experts, ensuring extracted invoice data is reliable and ready for downstream processing.
Data validation and error detection
Extracted invoice data can be validated against ERP vendor records, purchase orders, and business rules to identify discrepancies early in the process.
This helps reduce invoice data errors while improving processing accuracy.
Structured invoice records
Once processed, invoice data and associated documents are stored in a structured format that supports downstream accounts payable workflows and audit requirements.
Benefits for finance teams
DocLib’s Invoice Capture and Document Processing capabilities help organizations reduce manual invoice processing while improving invoice data accuracy.
Part of a connected workflow approach
DocLib helps organizations automate and gain visibility across related workflows while keeping their ERP at the center.
Accounts Payable Automation
Automate invoice capture and approval workflows in ERP.
Supplier Portal
Suppliers can submit invoices, track status, and interact with finance teams on a centralized platform.
Purchasing Desk
Streamline purchase requisitions and approval workflows before invoices reach accounts payable.
Payment Automation
Extend automation into payment execution while maintaining financial visibility and control.
Real results from finance teams using DocLib
“With DocLib, we’ve achieved 86% touchless processing. Our purchasing, operations, and accounting teams run more efficiently and supplier account management is far more streamlined.”
— AP Manager, GS Operating
“DocLib’s workflow routing eliminated a 1–3 week invoice approval process and reduced review time to about 15 minutes.”
— Finance, Nexteer Automotive
“DocLib helped us reach 78% touchless processing and reduce overtime. We saved over $400K in seven months, more than offsetting the cost of the system.”
— Accounting, MiTek
Capture supplier invoice data more efficiently
Automate invoice capture and document processing to reduce manual invoice entry across accounts payable operations.