RPA document processing

For document-heavy OCR workflows like scanning physical invoices and routing them straight into an ERP, traditional RPA alone isn't enough—you need platforms equipped with robust Intelligent Document Processing (IDP) . Modern tools blend computer vision, machine learning, and LLMs to extract data by context rather than rigid fixed coordinates.skyvern.com

The leading platforms best suited for heavy invoice OCR and ERP integration include:

• UiPath Platform : Widely considered the gold standard for enterprise automation. Through UiPath Document Understanding and AI-powered extraction, it combines heavy OCR with out-of-the-box machine learning models specifically pre-trained for invoices, receipts, and tax IDs. It excels at end-to-end management: capturing the scan, validating low-confidence fields via a human-in-the-loop portal, and executing secure backend API or UI writes into enterprise ERPs like SAP or Oracle.medium.com+1
• ABBYY Vantage / FlexiCapture : ABBYY is a pioneer in high-accuracy OCR and document ingestion. While it can act as a standalone IDP powerhouse, it integrates seamlessly with major RPA engines. It shines on complex, messy, low-quality physical scans or multilingual invoices where standard template-based tools fail.llamaindex.ai+1
• Microsoft Power Automate : Backed by AI Builder , Power Automate is a strong choice if your organization is already embedded in the Microsoft 365/Azure ecosystem. Its prebuilt invoice processing model uses machine learning to pull line items, totals, and vendor names from scans, making it cost-effective and nimble for mid-to-large enterprises connecting to Dynamics 365 or other cloud ERPs.
• Tungsten RPA (formerly Kofax): A heavy-duty contender historically renowned for high-volume, enterprise-grade document capture. It features powerful cognitive capture capabilities that handle high-volume physical mailrooms and scanned paper invoices before transforming them into structured data for downstream ERP consumption.
• Skyvern : A newer generation of AI-driven RPA that utilizes computer vision and LLMs to navigate unstructured layouts dynamically. It is particularly useful if your invoice workflows involve logging into unpredictable vendor portals or legacy systems that frequently change UI layouts.skyvern.com

To help narrow down the ideal platform, could you share:

• What ERP system are you currently integrating with (e.g., SAP, NetSuite, Dynamics)?
• Roughly how many invoices do you process per month?

For your use case—extracting data from scanned paper invoices and entering it into an ERP system—I would prioritize RPA platforms with built-in Intelligent Document Processing (IDP) rather than choosing a traditional RPA tool based on OCR alone.

IDP combines OCR with AI-based document classification, field extraction, validation, and exception handling. This matters because supplier invoices often vary in layout, scan quality, table structure, and terminology.docs.uipath.com+2

Best RPA platforms for invoice OCR workflows

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1. UiPath Document Understanding

(Best overall starting point)

UiPath combines document digitization, classification, data extraction, human validation, and RPA orchestration. Its invoice automation solution supports workflows such as purchase-order matching, approvals, exception handling, and posting to existing ERP systems.docs.uipath.com+1

Best for: Mid-size and large enterprises processing high volumes of invoices from multiple suppliers.

Watch out for: Implementation complexity and the effort required to configure extraction and validation for unusual invoice layouts.

Official invoice automation page

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2. ABBYY Vantage

(Best document-specialist option)

ABBYY focuses on intelligent document processing rather than general-purpose RPA. It offers pre-trained invoice extraction models, customizable document skills, and integrations with RPA and ERP systems. It is particularly worth evaluating for varied document layouts, complex tables, and multilingual invoices.www.abbyy.com+1

Best for: Organizations where document recognition and extraction accuracy are the primary challenge, especially across diverse invoice formats.

Watch out for: You may need a separate RPA platform or workflow engine to complete ERP entry and downstream business processes.

Official ABBYY Vantage page

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3. Automation Anywhere

Automation Anywhere's Document Automation capabilities support invoice extraction and validation, ERP entry, purchase-order and goods-receipt matching, and approval workflows.www.automationanywhere.com

Best for: Organizations seeking end-to-end accounts-payable automation that spans document intake, business rules, ERP updates, and approvals.

Watch out for: Test its extraction performance on your actual scanned invoices, especially low-quality scans and invoices with dense line items.

Official accounts-payable automation page

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4. Microsoft Power Automate with AI Builder

AI Builder provides a prebuilt invoice-processing model that extracts common fields such as invoice numbers, dates, amounts, vendor details, and detected text. You can use the extracted values in Power Automate flows and extend the model for additional fields.learn.microsoft.com+1

Best for: Microsoft-centric organizations that want a low-code solution, particularly if they already use Power Automate, SharePoint, and Microsoft business applications.

Watch out for: Complex invoice formats and custom line-item extraction may require additional modeling. Confirm ERP connectivity, licensing, and transaction limits for your expected volume.

Official invoice-processing documentation

How they compare

This is a qualitative shortlist, not a controlled benchmark. Actual accuracy depends on scan quality, invoice variation, configuration, and your ERP integration.

Recommended workflow architecture

1. Invoice intake

Scanned paper invoices, PDF files, scanner folders

2. OCR and intelligent extraction

Vendor, invoice number, dates, totals, tax, PO number and line items

3. Validation and exception handling

Confidence thresholds, duplicate checks, totals and PO matching; manual review when needed

4. RPA orchestration

Business rules, approvals, retries and audit trail

5. ERP entry

Create invoice records through APIs, ERP connectors or UI automation

Where possible, use supported ERP APIs or connectors rather than screen-based data entry. Keep human review for low-confidence extraction and financial exceptions instead of allowing uncertain OCR results to post automatically.

My recommendation

• Start with UiPath if you need one enterprise automation platform covering OCR through ERP posting.
• Start with ABBYY Vantage if your biggest problem is reliably reading a wide variety of scanned invoices and you are open to pairing document processing with another automation tool.
• Choose Power Automate if your organization already runs heavily on Microsoft and your invoice formats are relatively manageable.
• Evaluate Automation Anywhere if you want a broader, integrated accounts-payable automation workflow.

Before selecting a platform, run a proof of concept using real invoices from your most difficult suppliers. Measure field-level extraction accuracy, manual-review rate, duplicate detection, line-item accuracy, ERP posting success, and total cost per successfully processed invoice.

One question that would help narrow this down: Which ERP system are you using—SAP, Oracle, Microsoft Dynamics, NetSuite, or something else?