Accounts Payable Automation

AI Based Invoice Capture

100% Invoice Data Capture. AI parser to extract invoice details at header and line levels.

highradius

Invoice Data Capture Features

AI-based E-Mail Remittance Capture

Template-Free Invoices

Format agnostic, ML-based data capture. Supports multi-format invoices and delivers high accuracy.

AI-based E-Mail Remittance Capture

GenAI powered Data Capture

100% Invoice data capture accuracy for all machine readable invoices.

AI-based E-Mail Remittance Capture

Multi-Language Invoices

Multilingual invoice data capture. Supports 15+ global languages.

AI-based E-Mail Remittance Capture

Invoice Split & Classification

Automatically split multi-invoice PDF and classify invoices and supporting documents

AI-based E-Mail Remittance Capture

Multi-PO Invoices

Capture Purchase Order (PO) number at the line-level and link to the respective PO lines.

AI-based E-Mail Remittance Capture

Multi-Channel Integrations

Integrates with Email, EDI, SFTP, Supplier Portal, etc. to receive invoices in all formats

FAQs: AI-Powered AI Based Invoice Capture Solutions

What is an invoice capture software?

Invoice capture software automates the extraction of data from invoices using OCR (Optical Character Recognition) technology. It transforms unstructured invoice information into structured data that can be further processed in accounting systems.

How does invoice data capture software work?

Invoice capture software works by scanning or receiving digital invoices and extracting key data points such as vendor names, invoice numbers, amounts, and dates. AI or OCR technology is used to convert this data into a format that can be easily processed by accounting systems.

What are the benefits of auto invoice captures?

Auto-invoice capture enhances efficiency by eliminating manual data entry, reducing errors, and speeding up the invoice processing cycle. It accurately captures invoice data, preparing it for immediate use, thus saving time and improving the overall accuracy of financial records.

What are the key features to look for in invoice capture software?

Key features include high-accuracy OCR or AI data extraction, multi-format support (PDFs, emails, paper invoices), integration with accounting systems, error correction capabilities, ability to parse global invoices, and provide real-time analytics. These ensure reliable and efficient invoice data capture.

How do I capture information from an invoice?

To capture information from an invoice, you can use automated invoice capture software. The software scans the invoice, whether it’s in digital or paper form, and extracts essential data such as the invoice number, date, and amount. This data is then converted into a structured format that your accounts payable system can process effectively.

What kind of formats can HighRadius extract invoice data from?

HighRadius’ ML-powered data extraction is format-agnostic and captures data accurately from different types of invoice formats.

How does HighRadius handle low-quality scans and images?

Poor-quality scans, blurred images, or handwritten text can reduce the accuracy of OCR-based extraction. HighRadius’ AI invoice data capture combined with the OCR (Optical Character Recognition) technology helps you achieve more than 90% accuracy at header and line level.

Does HighRadius support multiple languages and currencies in invoices?

Yes, HighRadius accurately extracts invoice data in 15+ global languages and currencies to help enterprises manage their accounts payable in multiple geographical locations.

Which systems does HighRadius extract invoice data from?

HighRadius integrates with all systems and channels that enterprises commonly use to generate and receive invoices like email, EDI, SFTP, supplier portal, and more.

How fast can HighRadius extract data from invoices?

The system captures invoice data almost immediately after receiving it, integrating through channels like email, EDI, or supplier portals. The extracted data is quickly added to the AP processing queue, providing near real-time processing.