If you’re searching for a reliable ABBYY alternative, numerous AI-powered invoice data extraction tools can streamline your workflow. These solutions automate invoice processing, reducing manual data entry, minimizing errors, and improving efficiency.
Whether you need OCR-powered data capture, seamless ERP integration, or scalable automation, these platforms offer diverse features tailored for businesses of all sizes.
In this guide, we compare the top ABBYY alternatives based on accuracy, automation, integration, pricing, and ease of use. Explore these leading solutions and discover which one aligns with your requirements for invoice data extraction and document processing in 2025.
1. DocuClipper

DocuClipper is an advanced invoice data extraction software that transforms invoices, receipts, and financial statements into Excel, CSV, and QBO formats. By automating data capture and structuring, it removes the need for manual entry and reduces errors.
With cutting-edge OCR technology and financial document-specific algorithms, DocuClipper ensures high accuracy and rapid processing.
Whether handling daily invoices or bulk financial statements, it streamlines extraction, improves data accuracy, and optimizes workflow efficiency, saving you valuable time.
Pros
- User-Friendly Interface: DocuClipper’s web-based platform is intuitive and easy to navigate, making invoice data extraction simple and efficient.
- Cost-Effective Solution: With a page-based pricing model, DocuClipper offers an affordable option for small businesses, unlike competitors that charge per line item.
- High Accuracy: Powered by advanced OCR technology, it extracts invoice data with precision, seamlessly converting PDFs into Excel, CSV, or QBO without errors.
- Fast Processing: Capable of handling hundreds of invoices in under a minute, it significantly reduces the time spent on manual data entry.
- Secure Storage: Financial data is encrypted and securely stored in the cloud, ensuring compliance and confidentiality.
Cons
- No Mobile App: DocuClipper lacks a mobile application with built-in camera scanning, requiring invoices to be converted into PDFs before processing.
- Limited Direct Integrations: While it integrates seamlessly with Sage, Xero, and QuickBooks, connecting to other accounting platforms requires API configuration.
Pricing
- Starter: $39/month for 200 pages per month.
- Professional: $74/month for 500 pages per month.
- Business: $159/month for 2000 pages per month.
- Enterprise: Custom pricing for a custom number of pages per month. Contact DocuClipper for more details.
2. Rossum
Rossum is an AI-powered document processing solution designed to automate invoice data entry, significantly reducing manual effort and enhancing efficiency. Its advanced system accelerates invoice processing by capturing data from multiple sources, utilizing machine learning for analysis, and managing exceptions through interactive validation.
With robust integrations, Rossum enables smooth data transfer to your financial systems, minimizing errors and streamlining workflow automation.
Pros
- Intuitive Interface: Rossum’s user-friendly design makes invoice data extraction straightforward, even for those without technical expertise.
- Seamless Connectivity: Its open APIs and extensions allow effortless integration with accounting and ERP systems.
- Adaptive AI Learning: The platform continuously improves extraction accuracy by analyzing past invoices.
- Dedicated Assistance: A dedicated account manager supports implementation and troubleshooting, ensuring a smooth experience.
Cons
- Restricted Data Extraction: Effective for invoices and purchase orders but has difficulty processing other document types.
- Delayed Support Response: Assistance beyond the assigned account manager can be slow, leading to prolonged issue resolution.
- Limited US Support Availability: Businesses in the US may experience delays in getting help due to timezone differences.
- Basic Reporting Features: The platform lacks advanced reporting tools, making it challenging to generate in-depth invoice analytics.
- Lengthy AI Training Process: Requires significant training time to enhance accuracy, which can slow down initial implementation.
Pricing
- Starter Plan: $18,000/year – Includes unlimited users, multiple document ingestion methods (email, API, manual upload), Rossum Aurora Document AI, validation interface, 12-month archive, and API access.
- Business Plan: Expands features with custom data extraction logic, master data matching, duplicate detection, intelligent mailbox, webhooks, reporting, and integrations with SAP, Coupa, Workday, and Oracle.
- Enterprise Plan: Adds SSO, sandbox testing, extended master data matching, cloud location options, signature onboarding, and custom branding.
- Ultimate Plan: Tailored for high-volume enterprises, offering all Enterprise features plus multi-document transaction support and advanced automation capabilities.
3. Nanonets
Nanonets is an AI-driven invoice data extraction solution that automates invoice and financial document processing.
Using advanced OCR and deep learning, Nanonets captures key invoice details and transforms unstructured data into structured formats. It streamlines accounts payable, invoice reconciliation, and financial workflows by eliminating manual data entry.
With seamless API integration, Nanonets integrates with accounting and ERP systems, reducing manual effort by up to 90 percent. Offering high accuracy, scalability, and automation, it is a powerful tool for businesses aiming to optimize invoice processing while lowering costs and improving efficiency.
Pros
- Advanced and scalable technology: Nanonets offers accurate OCR-powered invoice extraction that is user-friendly and adapts well to businesses of all sizes.
- Responsive support team: The customer service team assists users in optimizing the platform’s features, providing guidance on setup and best practices.
- Flexible customization: When challenges arise, Nanonets works closely with users to fine-tune workflows and implement tailored solutions for enhanced efficiency.
- High OCR accuracy: Compared to other solutions, users have found Nanonets to outperform competitors in precision, processing speed, seamless integration, and scalability.
Cons
- Delayed initial support response: While customer support has improved over time, earlier users experienced slow response times.
- Expensive for low-volume users: The pricing may not be ideal for businesses processing a small number of invoices, making it difficult to justify the cost of additional models.
- Limited control over file processing: Managing large batches of invoices lacks an efficient tracking system, requiring users to manually upload and reprocess individual pages when corrections are needed.
- Complicated setup process: Configuring invoice processing and workflow automation may take time and require technical expertise.
- Lack of pricing transparency: The pricing structure is not always clear and may be less cost-effective than other invoice data extraction tools, particularly for small businesses.
- Manual review may still be necessary: Despite automation, some extracted invoice data may require verification, reducing overall efficiency gains.
Pricing
- Starter Plan: Best for individuals or small teams, this pay-as-you-go model costs $0.30 per page processed, with no fixed monthly fee.
- Pro Plan: Designed for growing teams, it includes 10,000 pages per month for $999, with extra pages costing $0.10 each. This plan offers features such as team collaboration, custom AI for data capture, and integrations with platforms like Microsoft Dynamics, Salesforce, and SAP.
- Enterprise Plan: Ideal for large organizations with high-volume processing needs, this plan offers custom solutions, including dedicated account management, flexible data retention policies, and personalized onboarding. Pricing is provided upon request.
New users receive $200 in free credits upon signing up, allowing them to test the platform before choosing a paid plan.
4. Klippa DocHorizon
Klippa DocHorizon is an invoice data extraction solution that streamlines document workflows through OCR, automated data extraction, classification, and format conversion. It reduces the need for manual data entry, improving efficiency and accuracy in invoice processing.
Equipped with mobile scanning and document verification features, Klippa DocHorizon enhances invoice handling across different industries, making it a practical choice for businesses looking to automate financial document management.
Pros
- Easy to use: The platform’s intuitive design makes it accessible for both new users and those handling implementation.
- High-quality OCR: Klippa’s advanced OCR technology ensures accurate invoice data extraction with well-documented functionalities.
- Reliable customer support: The support team is responsive and assists users with implementation and troubleshooting.
- Continuous improvement: The platform is regularly updated with new features, enhancing document processing efficiency over time.
Cons
- Limited customization: The platform offers minimal flexibility, making it challenging for users with specific workflow needs.
- Workflow constraints: While functional, it may not seamlessly integrate with all business processes.
- Overwhelming options: The wide range of features can make the selection process confusing for some users.
- Minimal negative feedback: With most users satisfied, identifying significant drawbacks can be difficult.
Pricing
Klippa DocHorizon offers a credit-based pricing model. You receive €25 in free trial credits, and after that, you purchase additional credits as needed. Billing is calculated based on document usage.
5. Docsumo
Docsumo is an intelligent document processing platform designed for SMB lenders, insurers, commercial real estate lenders, and investors. Originally developed for invoice automation, it has evolved into a full-scale data extraction solution, streamlining financial document processing across various industries in the USA.
Pros
- Comprehensive backend technology: Docsumo’s advanced backend supports various use cases, allowing businesses to scale their document processing efficiently.
- Exceptional customer support: The support team provides detailed assistance during integration and process optimization, ensuring a seamless user experience.
- User-friendly interface: Designed for simplicity, the platform makes document processing easy, catering to users with different levels of technical expertise.
- Flexible API integration: Docsumo offers adaptable API connectivity, making it easy to integrate with existing workflows and financial systems.
- Reliable performance: Users report a stable, bug-free experience that enhances efficiency and reduces operational disruptions.
Cons
- Requires technical knowledge: Some customization features may be difficult for non-technical users to configure effectively.
- Longer implementation time: Setting up models can be time-consuming, especially for businesses dealing with multiple document formats.
- Limited keyboard navigation: Users report the need for better keyboard shortcuts to streamline the review process.
- Retraining for minor changes: Even small adjustments require retraining the AI model, which can slow down workflow improvements.
Pricing
- Free Plan: 100 pages/month for individual users at no charge.
- Starter Plan: 1,000 pages/month at $299, suitable for up to 3 users.
- Growth Plan: 3,000 pages/month at $799, designed for teams of up to 5 users.
- Business Plan: 10,000 pages/month at $2,499, supports up to 10 users.
- Enterprise Plan: Custom pricing for larger needs, available upon request.
6. Hyperscience
Hyperscience leverages AI and machine learning to automate invoice data extraction, reducing the need for manual input and minimizing errors.
It seamlessly integrates with enterprise systems, handling both structured and unstructured documents with 99.5% accuracy. By optimizing financial workflows, it improves efficiency and accelerates the invoice processing cycle.
Pros
- High Accuracy: Provides reliable results for both handwritten and digitally scanned invoices, minimizing the need for manual corrections.
- Easy Integration: Effortlessly connects with various applications, making adoption seamless.
- Task Restriction Feature: Enables multiple business units to operate within the same platform while maintaining audit compliance.
- Strong Support: Users highlight responsive customer support that ensures smooth implementation and issue resolution.
Cons
- Older Version Limitations: Some characters may not be recognized accurately, though updates are expected to enhance performance.
- Performance Lag: Processing large volumes of data can sometimes slow down system performance.
- Integration Challenges: Additional setup may be required if the organization’s existing infrastructure is not optimized for integration.
- Security Concerns: Managing sensitive invoice data may demand extra privacy measures to ensure compliance.
- Semi-Structured Documents: The automation process struggles with non-standard invoice formats, requiring further refinement for improved accuracy.
Pricing
Contact the sales representative for a quote
7. Laserfiche
Laserfiche revolutionized document management by introducing paperless office solutions through enterprise content management. With a cloud-first strategy, it leverages AI and machine learning advancements to help organizations worldwide streamline operations and transition into fully digital enterprises.
Pros
- Simplified Document Management: Laserfiche provides a centralized system that eliminates the confusion of managing documents across network drives or multiple cloud storage solutions.
- Robust Automation Features: The platform streamlines workflows by automating file storage, records management, and form processing, reducing manual effort and improving efficiency across an organization.
Cons
- Complex Setup and Customization: The initial configuration can be challenging, requiring technical knowledge. However, community support and training resources help ease the process.
- Workflow Disruptions: Upgrades may occasionally interfere with workflows, requiring adjustments. New users might also face a steep learning curve despite the availability of training materials.
- Limited Process Linking: The platform lacks the ability to seamlessly connect separate business processes, making workflow automation less fluid.
- Inconsistent Support: Some users report delays in email responses and lack of follow-up from certain employees, affecting issue resolution.
- Cloud vs. On-Premise Limitations: Users seeking cloud migration may find discrepancies in features between cloud and on-premise versions, creating challenges in maintaining functionality.
Pricing
Contact sales representatives for more information.
8. Amazon Textract
Amazon Textract is a cloud-based OCR service that automates text and data extraction from scanned documents. It goes beyond basic OCR by identifying and extracting text, handwriting, tables, and form fields, converting them into structured formats for easy processing and integration.
Designed for seamless data capture, it enhances document analysis by preserving relationships between extracted information.
Pros
- Ease of Use: Amazon Textract eliminates manual data entry and complex OCR configurations, making it easy to integrate into existing workflows.
- High Processing Speed: It can handle large volumes of documents quickly, making it ideal for businesses with high data processing demands.
- Versatile OCR Capabilities: The platform uses machine learning to extract text not only from printed documents but also from handwritten content, tables, and forms.
- Seamless Integration: As part of Amazon Web Services, Textract integrates well with other AWS tools, providing a scalable and efficient document processing solution.
Cons
- High Cost: Pricing can be expensive for businesses processing large volumes of documents, especially those dealing with complex PDFs with multiple pages.
- AWS Dependency: Integration requires familiarity with AWS infrastructure, making it challenging for teams without prior experience in Amazon Web Services.
- Handwriting Accuracy Issues: While it supports handwriting recognition, accuracy varies due to differences in individual handwriting styles, requiring manual corrections.
- Limited Customization: The service cannot extract text from all document types, and there is no option to train the model for specific data or document formats.
Pricing
Contact sales representatives for a quote.
9. Docparser
Docparser is an automated data extraction solution that simplifies invoice processing and removes the need for manual data entry. With its user-friendly interface and advanced OCR technology, it enables businesses to quickly capture essential details from invoices, receipts, and financial documents.
Compatible with various file formats such as PDF, DOCX, CSV, and XLS, Docparser ensures accurate data extraction for seamless integration into accounting software. Whether managing invoices, bank statements, or shipping documents, it enhances efficiency and accuracy in financial workflows.
Pros
- Ease of Use: Docparser has a user-friendly interface that simplifies invoice data extraction while maintaining high accuracy. Users can tailor parsing rules to meet specific business requirements.
- Seamless Automation: The platform streamlines invoice processing by integrating with tools like Zapier, allowing automatic document uploads and minimizing manual data entry mistakes.
Cons
- Challenging Document Configuration: Setting up parsing rules for complex invoices can be time-intensive and may require manual tweaks to correct formatting inconsistencies.
- Bulk Upload Limitations: Handling large document uploads was initially problematic, though solutions have since been introduced to mitigate the issue.
- Steep Learning Curve: Despite offering extensive customization, non-technical users may find the initial setup process difficult without prior experience.
- Insufficient User Guidance: A more comprehensive tutorial or guided setup would help users better understand parsing options and streamline onboarding.
- Complicated Workflow: Configuring parsing rules involves multiple steps and frequent screen transitions, which could be optimized for better user experience.
Pricing
- Starter: $39/month – Provides 100 credits per month, ideal for individuals needing basic document extraction. Supports PDF, Word, and image files with export options to Excel, CSV, JSON, and XML. Includes Google Sheets integration and compatibility with various third-party tools.
- Professional: $74/month – Offers 250 credits per month, suited for professionals looking for enhanced automation. Includes all Starter features plus multifactor authentication, team management, free parsing setup, and version control.
- Business: $159/month – Provides 1000 credits per month, designed for businesses managing high-volume document processing. Adds multi-layout parsing, priority support, and faster parsing access.
- Enterprise: Custom pricing – Tailored for large-scale users with unlimited parsing capabilities, extended document retention, white labeling, and enterprise-level features. Contact sales for more details.
Frequently Asked Questions about ABBYY alternatives (FAQs)
Here are some frequently asked questions about ABBYY alternatives:
What factors should I consider when choosing an ABBYY alternative?
When selecting an ABBYY alternative, consider accuracy, automation capabilities, and integration with your existing software. Look for OCR precision, ease of use, scalability, and support for multiple file formats. Pricing, security, and compliance are also important. Ensure the solution aligns with your business needs and minimizes manual data entry for efficiency.
Are these alternatives suitable for small businesses?
Yes, many of these alternatives are designed for small businesses, offering cost-effective pricing, easy setup, and automation features that reduce manual data entry. Solutions like DocuClipper and Nanonets provide scalable options, allowing small businesses to streamline invoice processing without requiring extensive technical expertise or large budgets.
Do these tools support multiple languages?
Yes, many of these tools support multiple languages for invoice data extraction. Platforms like Rossum, Nanonets, and ABBYY FlexiCapture offer multilingual OCR capabilities, allowing businesses to process invoices in different languages. However, language support varies by tool, so it’s best to check with the provider to ensure compatibility with your specific needs.
Can these platforms integrate with existing enterprise systems?
Yes, most of these platforms integrate with enterprise systems through APIs, webhooks, and direct connections. Solutions like Rossum, Veryfi, and Nanonets support ERP, accounting, and document management systems, including QuickBooks, Xero, SAP, and Oracle. However, integration capabilities vary, so it’s best to verify with the provider to ensure compatibility with your workflow.
Is training required to use these document processing tools?
Most document processing tools are designed to be user-friendly, but some level of training may be needed, especially for advanced features like custom data extraction and workflow automation. Platforms with AI-driven learning require less setup, while others may need initial configuration to optimize accuracy. Many providers offer tutorials, documentation, or customer support for onboarding.