Top 9 Invoice OCR Software for Small Business to Enterprise

Manual invoice processing remains widely used across many organizations. According to Rillion, 80–90% of invoices are still received in paper or email formats, and about 75% of companies continue to input invoice data manually, resulting in slow processes, frequent errors, and higher operational costs.

With the advancement of technologies such as AI, machine learning, and OCR, businesses can now automate invoice data capture and streamline accounts payable workflows. In this article, we explore 9 invoice OCR software solutions that help reduce manual effort and lower processing costs by up to 78%.

What is invoice OCR software?

Invoice OCR software is a solution that automatically captures and extracts essential data from invoices, such as supplier names, invoice numbers, totals, line items, and order details, and converts it into structured digital formats.

This structured data can then be seamlessly transferred to a spend management system, removing the need for manual data entry.

Modern invoice capture solutions combine OCR with AI and machine learning to fully automate accounts payable workflows. Typically, the process works as follows:

• Invoice scanning or upload: Invoices in paper or PDF format are uploaded or captured using a scanner or camera.
• Data extraction: OCR technology reads the invoice and converts it into editable, machine-readable text.
• Data validation: AI verifies the extracted data and cross-checks it against sources such as purchase orders or vendor databases.
• Automated data entry: Once validated, the data is automatically sent to the spend management system for further processing.

5 Benefits of OCR invoice processing

OCR technology has become a core part of modern invoice automation, enabling finance teams to process invoices faster, with greater accuracy, and at a significantly lower cost.

Here are five key benefits of OCR invoice processing:

1. Reduced processing costs

Manual invoice processing requires substantial staff time for data entry, verification, and corrections. OCR minimizes this workload by automatically extracting invoice data and integrating it directly into financial systems.

According to APQC, top-performing organizations using OCR spend just $2.07 per invoice, compared to $10.89 for manual processing, representing a cost reduction of over 80%.

2. Improved data accuracy

Manual data entry often results in errors such as incorrect amounts, invoice numbers, or vendor details. These mistakes can lead to accounting discrepancies and require additional time to fix.

A 2024 study by the Institute of Finance and Management found that automation reduces invoice error rates from 3.6% to just 0.3%, significantly improving data accuracy.

3. Faster invoice processing time

Processing invoices manually involves multiple steps—opening documents, entering data, verifying details, and routing approvals, which can take 10–30 minutes per invoice.

With OCR, invoice data can be captured and processed in just one to two seconds, making the process up to 99% faster.

4. Increased capture of early payment discounts

Many vendors offer discounts for early payments, but slow processing often causes businesses to miss these opportunities.

According to Deloitte, 67% of companies using automated invoice processing successfully capture early payment discounts, compared to only 18% of those relying on manual methods.

5. Time savings for finance teams

Manual invoice processing involves repetitive administrative tasks that take up a considerable amount of staff time.

For a team handling 1,000 invoices annually, switching to OCR can free up as much as 500 hours of work time, allowing teams to focus on more strategic activities.

9 Top invoice OCR software 

Below are nine invoice OCR software solutions that can help finance teams automate invoice processing and reduce manual data entry.

1. Mekari Expense

Mekari Expense is a spend management system equipped with AI-powered accounts payable features designed to eliminate manual invoice entry.

Its OCR engine automatically captures vendor invoices from emails or uploaded documents and seamlessly syncs them into the Purchase Invoice module, making it a reliable invoice OCR software for more efficient and streamlined workflows.

Key features:

• Automatic invoice data extraction: Captures key invoice details such as vendor name, invoice number, date, and total amount from uploaded files, including PDFs, images, and scanned documents.
• Email invoice detection: Automatically detects and processes invoices received via email, eliminating the need for manual uploads.
• Multi-format support: Handles a wide range of document formats, including images, scanned files, PDFs, and other digital documents.
• Auto-populated invoice fields: Fills in essential invoice fields automatically to reduce manual data entry.
• Seamless workflow integration: Extracted data flows directly into the purchase invoice workflow, accelerating approval and payment processes.
• Duplicate invoice detection: Identifies duplicate invoices to prevent double entries and payment errors.
• AI-powered OCR technology: Enhances character recognition accuracy while minimizing extraction errors.

Why choose Mekari Expense:

• Improved efficiency and productivity: Automation enables finance teams to process more invoices in less time.
• Higher data accuracy: AI-powered OCR ensures reliable and consistent financial data capture.
• Better cash flow management: Faster approval and payment cycles support improved liquidity planning.
• Direct system integration: Invoice data from emails syncs automatically with Purchase Invoice and claims modules.
• Reduced operational workload: Minimizes repetitive administrative tasks and manual input.
• Real-time visibility: Finance teams can track invoice status and financial data directly through the dashboard.

2. Lido

Lido brings OCR invoice processing into a spreadsheet-style environment, making it especially suitable for finance teams that rely heavily on Excel or Google Sheets for their workflows.

Key features:

• Spreadsheet-native invoice processing interface
• Automatic extraction of invoice data into spreadsheet rows
• Support for custom formulas and workflow logic
• API integrations with finance and accounting tools
• Collaborative editing with role-based permissions

Best for: Finance teams working primarily in spreadsheets

3. ABBYY FlexiCapture

ABBYY FlexiCapture is a well-established OCR platform widely used for high-volume document processing. Its recognition engine performs especially well when handling scanned or low-quality documents.

Key features:

• Advanced OCR engine optimized for scanned documents
• Intelligent document classification capabilities
• Flexible deployment options (cloud, on-premise, and hybrid)
• Integration with enterprise content management systems
• Built-in human verification workflows

Best for: Enterprises processing large volumes of invoices

4. Envoice

Envoice combines AI-powered OCR with human verification to deliver highly accurate invoice data extraction. Its pricing model also makes it a practical choice for smaller businesses and accounting firms.

Key features:

• Human-in-the-loop verification system
• Cost-effective pricing for SMBs
• Sync with accounting platforms
• Smart categorization and tagging
• Mobile receipt capture

Best for: SMBs and accounting firms

5. Klippa DocHorizon

Klippa DocHorizon is a document intelligence platform with strong multilingual OCR capabilities, making it well-suited for organizations processing invoices across multiple regions.

Key features:

• OCR with multi-language support
• Automatic document classification
• GDPR-compliant data processing
• API integrations for workflow automation
• Fraud detection and authenticity checks

Best for: Global businesses handling multilingual invoices

6. Rossum

Rossum uses a cognitive data capture engine that interprets document context rather than simply reading text, making it well-suited for enterprises managing complex invoice workflows across ERP systems.

Key features:

• Context-aware data capture that understands invoice structure
• Country-specific validation rules to support compliance
• ERP integrations with systems like SAP, Oracle, and Microsoft Dynamics
• Support for multi-entity and multi-currency operations
• Full audit trail with role-based access controls

Best for: Enterprise finance teams with ERP-heavy workflows

7. Nanonets

Nanonets is an AI-driven document processing platform designed to automate invoice data extraction and accounts payable workflows. Its machine learning models continuously improve based on user corrections, increasing accuracy over time.

Key features:

• Self-learning AI that improves extraction accuracy from user corrections
• Integrations with QuickBooks, Xero, and Zapier
• Automated PO matching and 3-way reconciliation
• Supports invoices from PDFs, images, and emails
• Custom approval routing and exception handling

Best for: Mid-market accounts payable teams

8. Docsumo

Docsumo is a document AI platform built to extract data from both structured and unstructured invoices, making it a strong choice for organizations dealing with inconsistent invoice formats.

Key features:

• Data extraction for structured and unstructured invoice formats
• Pre-trained models for invoices and financial documents
• REST API for custom integrations
• Human review queue for low-confidence outputs
• Bulk upload and batch document processing

Best for: SMBs handling varied invoice formats

9. Tipalti

Tipalti is a comprehensive accounts payable automation platform that goes beyond invoice capture to cover supplier payments, compliance, and financial reporting.

Key features:

• End-to-end accounts payable automation
• Multi-country tax compliance support
• Global supplier payments across multiple currencies
• PO matching and duplicate invoice detection
• Built-in reporting and reconciliation tools

Best for: Companies needing full AP lifecycle automation

How to choose invoice OCR scanning software

Before selecting an invoice OCR solution, it’s essential to evaluate several key factors to ensure it aligns with your finance workflows and invoice volume.

1. OCR accuracy

Accuracy is one of the most critical factors in invoice scanning. Even minor errors can lead to reconciliation issues down the line. Look for solutions that can handle various invoice formats, low-quality scans, and multilingual documents with high precision.

2. Features and usability

Choose software that simplifies your workflow with capabilities such as automatic data capture, field extraction, and easy document uploads. A user-friendly interface is equally important to ensure quick adoption across your team.

3. Integrations and automation

Ensure the software integrates seamlessly with your existing accounting or ERP systems. Automation features like approval workflows and real-time data syncing can significantly reduce manual effort and improve efficiency.

4. Pricing and overall value

Understand the pricing model, whether it’s based on per scan, subscription, or per user. Beyond cost, evaluate the overall value, including onboarding support, scalability, and additional features that may impact long-term ROI.

5. Security and compliance

Since invoice data contains sensitive financial information, prioritize solutions with strong security measures such as encryption, role-based access controls, audit trails, and compliance with standards like GDPR or SOC 2. 

The right invoice OCR software

The right invoice OCR scanning software enables finance teams to automate invoice data capture, minimize manual errors, and accelerate accounts payable workflows. When evaluating a solution, businesses should consider key factors such as OCR accuracy, system integrations, automation capabilities, pricing, and security.

For businesses in Indonesia and Southeast Asia, Mekari Expense stands out as a strong option, especially as an invoice OCR software for small business that helps automate invoice processing and improve efficiency.

Key capabilities include:

• AI-powered OCR technology that enhances character recognition accuracy and reduces extraction errors
• Automatic document capture from uploads or vendor emails without manual intervention
• Instant data extraction for key invoice details such as vendor name, invoice date, and total amount
• Seamless integration with the Purchase Invoice workflow to accelerate approvals and payments

By combining automated invoice capture with integrated financial workflows, Mekari Expense stands out as a powerful invoice OCR software that helps businesses streamline processes and improve financial visibility.

*This article is a collaboration between Mekari and Verihubs.