The Best Alternatives to Nanonets in 2025

Nanonets is a popular Intelligent Document Processing (IDP) tool known for its ability to extract and convert data from documents into machine-readable formats. However, as businesses grow, the need for more customized solutions with advanced features and better accuracy becomes crucial.

Whether it’s the high cost of scaling up, the need for faster deployment, or more advanced data extraction capabilities, many companies find that Nanonets may not fully meet their evolving needs.

In this article, we’ll explore 5 top alternatives to Nanonets, from cost-effective open-source tools to advanced Intelligent Document Processing (IDP) solutions. Each alternative is tailored to handle different business requirements, ensuring there’s a perfect fit for your needs.

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Key Takeaways

The Best Nanonets Alternatives for 2025 are:

• Klippa DocHorizon: Our top choice for 2025 🏆 Best for high-volume document processing, offering an all-in-one platform with AI-powered automation, fraud detection, and more, ideal for industries like finance, healthcare, and legal.
• Rossum: Best for cognitive data capture.
• Docsumo: Best for document automation with human cross-verification for high accuracy.
• Amazon Textract: Best for signature and table detection with machine learning-powered extraction.
• ABBYY FineReader: Best for PDF editing and document comparison with OCR capabilities.
• Docparser: Best for customizable document parsing with no-code setup.
• OpenText Capture: Best for large-scale document capture and automation for enterprises.
• Tesseract OCR: Best free, open-source OCR for developers needing flexibility.

SOFTWARE	PRICING	STANDOUT FEATURE
Klippa DocHorizon	Free 25€ credits / Custom	All-in-one IDP platform with AI-powered automation, fraud detection, and real-time data extraction
Rossum	Custom	Cognitive data capture and anomaly detection
Docsumo	Free (100 pages/mo)/ From $299/mo	Human cross-verification for high-accuracy document automation
Amazon Textract	Custom	Signature and table detection with machine learning-based OCR
ABBYY FineReader	From $199 (one-time)	PDF editing and comparison with advanced OCR capabilities
Docparser	From $32.50/month	Customizable document parsing with a no-code setup
OpenText Capture	Custom	Scalable enterprise-level document capture and data automation
Tesseract OCR	Free	Open-source OCR with high customizability

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Top 8 Nanonets Alternatives in 2025

To help in your search for a Nanonets alternative, we’ve selected some of the most popular tools, looked into their features, and explored real user feedback from trusted review platforms. The result is a clear overview of what each app does well and where it might fall short based on what actual users are saying.

1. Klippa DocHorizon: Best for All-in-One Intelligent Document Processing 🏆

Klippa DocHorizon is a powerful IDP platform that goes beyond basic OCR, using advanced AI technologies to automate document scanning, extraction, classification, anonymization, and verification. This makes it an ideal alternative to Nanonets for businesses that need an all-in-one platform with more features, greater accuracy, and enhanced automation for handling complex document workflows.

Features:

• Real-time data extraction from invoices, receipts, passports, and other document types
• Image pre-processing to enhance document quality before OCR extraction
• Document classification and sorting based on predefined rules
• AI-driven anonymization and fraud detection features to ensure data privacy and security
• Cloud and on-premise deployment options
• API & SDK integration with CRM, ERP, and other third-party applications
• Supports multiple file formats such as PDF, JPG, PNG, XLSX, etc.

Pros:

• Data extraction accuracy of up to 95% and seamless file conversion
• Includes human-in-the-loop automation for the highest level of accuracy
• Support for documents in over 150+ languages and various formats
• Low-code IDP platform with an easy-to-use drag-and-drop interface
• Extensive customer service and onboarding support
• Well-documented and developer-friendly
• Compliant with GDPR and ISO-certified (27001 & 9001)

Cons:

• No support for non-Latin alphabets out of the box
• No document generation
• May require onboarding for non-technical users

Pricing:

• €25 free credit
• Contact the team for pricing details
• License or usage-based pricing model

Best for:

• High-volume document processing with AI-powered automation and fraud detection.

What Makes Klippa Stand Out vs Nanonets:

Compared to Nanonets, Klippa offers a more complete IDP solution by combining OCR and classification with built-in anonymization, document verification, and advanced format conversion, enabling end-to-end automation from a single platform.

2. Rossum: Best for Cognitive Data Capture

Rossum is an AI-driven document processing solution designed to automate data extraction and workflow management. It utilizes machine learning to capture and validate data from documents, reducing manual effort and improving accuracy in financial document management.

Features:

• AI-based extraction of data from invoices and other document types
• Anomaly detection to identify errors and inconsistencies
• Customizable templates for tailored document parsing
• AI-driven document classification for better sorting
• Machine learning for continuous improvement and increased accuracy

Pros:

• High precision in extracting invoice-related data
• Flexible pricing options to suit various business needs
• Strong compliance with data privacy and security standards
• Smooth integration with leading business systems like ERP

Cons:

• Limited support for languages other than English
• Integration can be complex for businesses without technical expertise
• Some users report occasional issues with accuracy on specific document types (Software Advice)

Pricing:

• Custom pricing based on the company’s needs and requirements

Best for:

• Mid-market industries, like IT and health & wellness.

What Makes Rossum Stand Out vs Nanonets:

Compared to Nanonets, Rossum offers a more versatile solution with multi-format support, mobile capabilities, and a better feature update roadmap.

3. Docsumo: Best for Document Automation with Human Cross-Verification

Docsumo is an AI-powered document processing solution that focuses on delivering high accuracy with human cross-verification, making it an excellent alternative to Nanonets for businesses requiring extra precision in document handling.

Features:

• AI-powered data extraction with support for invoices, tax returns, and other complex documents
• Human cross-verification feature for added accuracy in processing
• Real-time data extraction and document classification
• Pre-configured templates for common document types
• Workflow automation for seamless document management
• Supports multiple formats, including JSON, XML, and XLSX

Pros:

• Ensures high accuracy through human-in-the-loop validation
• Customizable to handle different document types and formats
• Flexible and scalable solution that grows with your business
• Easy integration with popular platforms for seamless workflows

Cons:

• May experience occasional formatting issues in document processing
• Can struggle with handwritten documents (Docsumo)
• Some users report challenges with customer service communication (Capterra)

Pricing:

• Free: Process 100 pages per month
• Growth: Process 1,000 pages per month, $299/mo
• Enterprise: Custom plan, contact Docsumo for more information and up-to-date pricing

Best for:

• Businesses in industries like insurance, legal services, and finance, that require document automation with a focus on data accuracy and verification.

What Makes Docsumo Stand Out vs Nanonets:

Compared to Nanonets, Docsumo provides pre-trained APIs, custom models for new document types, auto-assignment of reviewers, and auto-applied learnings for new documents – features that Nanonets lacks.

4. Amazon Textract: Best for Signature & Table Detection 

Amazon Textract is a good OCR solution that leverages machine learning to extract both structured and unstructured data from documents. It excels in text and table extraction, making it an ideal choice for businesses with document-heavy workflows, such as finance, legal, and healthcare.

Features:

• Machine learning-powered OCR to extract printed text, handwriting, and layout elements from documents
• Table extraction to easily convert tabular data into structured formats
• Signature detection to validate signatures on checks, contracts, and application forms
• Custom smart search indexing for efficient document searches based on specific data
• Document classification to improve archiving and workflow automation

Pros:

• Highly scalable and ideal for handling large volumes of documents
• Advanced table and signature extraction, improving accuracy in document-heavy industries
• Seamless integration with AWS ecosystem, offering flexibility for business workflows

Cons:

• Limited language support: Currently only processes documents in English, Spanish, Italian, French, and Portuguese
• Limited format support: Only supports PNG, JPEG, and PDF formats
• High costs for large-scale document processing, especially when using the premium version
• Inconsistencies in accuracy, particularly with handwritten documents (G2)

Pricing:

• Custom pricing, depending on the business’s requirements and needs

Best for: 

• Medium to large enterprises with document-heavy workflows.

What Makes Amazon Textract Stand Out vs Nanonets:

Compared to Nanonets, Amazon Textract stands out with its signature detection and table extraction features, making it the ideal choice for businesses that need to process structured data in contracts, forms, and invoices. Additionally, its integration with the AWS ecosystem provides businesses with a flexible and scalable solution, perfect for document-heavy workflows.

5. Abbyy FineReader: Best for PDF Editing

Abbyy FineReader is a well-established OCR software that combines text recognition with powerful PDF editing capabilities. It is especially useful for businesses that need to digitize and edit scanned documents while maintaining their original layout and format.

Features:

• Advanced OCR technology for digitizing paper documents, scans, and images
• PDF editing: Create, edit, and organize PDFs, and compare documents in different formats
• Fillable PDF forms for easier document management and collaboration
• Document protection and e-signatures to ensure document security
• Automate the conversion of documents into various formats like DOCX, XLSX, PPTX, RTF, HTML, and more
• Cross-platform availability on Windows, Mac, iOS, and Android for flexibility

Pros:

• Accurate OCR for multiple languages and diverse document types
• Comprehensive PDF editing and comparison capabilities
• Easy collaboration and approval tools for team-based workflows
• Flexible licensing options, including seat-based and concurrent licenses

Cons:

• Challenging setup and configuration, requiring IT support or training for some users
• OCR accuracy issues with certain languages like Arabic (G2)
• High cost may be prohibitive for small businesses or individual users
• Some users mention slow processing for large PDF files (G2)

Pricing:

• Standard Plan: One-time payment of $199 (basic features)
• Corporate Plan: One-time payment of $299 (full features)
• Custom volume licensing available for organizations, with details on ABBYY’s official website

Best for:

• Businesses and organizations that need robust PDF editing and digitization features alongside OCR capabilities.

What Makes ABBYY FineReader Stand Out vs Nanonets:

ABBYY FineReader excels in PDF editing, document comparison, and secure digital document management, making it ideal for businesses needing more than just OCR. While Nanonets focuses on document automation and AI-powered extraction, ABBYY FineReader offers a broader suite for document manipulation and format preservation, perfect for teams handling diverse, high-volume documents.

6. Docparser: Best for Custom Parsing Rules

Docparser is an easy-to-use, no-code document parsing tool designed to automate data extraction from various document types, including invoices, receipts, and contracts. Its standout feature is its ability to define custom parsing rules for each document type, which makes it a great solution for businesses that need flexibility in document processing.

Features:

• Customizable parsing rules to extract specific data from structured documents
• Zonal OCR technology for precise extraction from designated areas of documents
• Support for multiple document types, including PDFs, DOCX, JPG, and PNG
• Integration with cloud tools such as Google Sheets, Zapier, and Dropbox for seamless workflows
• Batch processing to handle multiple documents at once

Pros:

• No-code interface, making it accessible to users without technical expertise
• Custom parsing rules provide flexibility in handling different document types
• Affordable pricing, suitable for small businesses and freelancers
• Seamless integration with popular cloud-based tools to streamline data workflows

Cons:

• Limited advanced features compared to larger, more robust IDP platforms
• No built-in document verification or fraud detection
• Limited support for handwriting and highly unstructured documents

Pricing:

• Starter: From $32.50/month, includes 100 parsing credits, up to 15 parsers, premium template access, document ingestion (email, API, manual upload), and Google Sheets integration.
• Professional: From $61.50/month, adds 250 parsing credits, up to 50 parsers, smart tables, parser version control, and 1 free parsing setup.
• Business: From $133/month, includes 1000 parsing credits, up to 500 parsers, multi-layout parsers, extended document retention, and priority parsing access.
• Enterprise: Custom plan, contact Docparser for more information and up-to-date pricing

Best for:

• Small businesses and professionals that need an affordable, easy-to-use tool for automating document parsing with customizable extraction rules.

What Makes Docparser Stand Out vs Nanonets:

Compared to Nanonets, Docparser offers greater flexibility in document parsing with its customizable rules and zonal OCR, making it ideal for businesses that need to extract specific data from structured documents like invoices and receipts. In contrast, Nanonets provides a more generalized, AI-powered solution for broader use cases, making it more suited for mid-market clients and enterprises with complex automation needs.

7. OpenText Capture: Best for Large-Scale Document Capture

OpenText Capture is a comprehensive document processing solution designed for enterprises that need to automate the extraction, capture, and classification of data from large volumes of documents. It provides a powerful combination of OCR, machine learning, and document management capabilities, making it a great alternative to Nanonets for businesses that require scalable solutions.

Features:

• AI-powered document classification for automatic sorting of documents based on predefined rules
• Advanced data extraction capabilities for a wide range of document types, from invoices to contracts
• Document routing to ensure automated workflows for document processing and approval
• Integration with enterprise systems such as CRM, ERP, and document management systems
• Pre-configured templates for common document types to accelerate implementation

Pros:

• Scalable solution ideal for large organizations with vast amounts of document processing needs
• Advanced workflow automation that enhances operational efficiency
• Highly customizable to fit unique business requirements
• Strong compliance support, including audit trails and security measures

Cons:

• Complex setup and configuration, requiring a dedicated implementation team
• Higher pricing compared to simpler OCR solutions, making it more suitable for larger businesses
• Can be resource-intensive, especially for smaller companies with limited IT infrastructure

Pricing:

• Custom pricing, based on the scale and complexity of the solution
• Enterprise-level pricing, with flexibility for large deployments

Best for:

• Large enterprises that require scalable document capture and data automation solutions with advanced workflow and compliance features.

What Makes OpenText Capture Stand Out vs Nanonets:

Compared to Nanonets, OpenText Capture offers enterprise-level document automation with deep integration capabilities, making it the best choice for large organizations that need to process a high volume of diverse document types. OpenText also provides extensive workflow and compliance features, which are essential for businesses in regulated industries.

8. Tesseract OCR: Best for Free, Open-Source OCR

Tesseract OCR is a free, open-source OCR engine that provides great flexibility for developers who want to customize their OCR solutions. It’s particularly useful for those on a tight budget or in need of a customizable, cost-effective OCR solution.

Features:

• Multi-language support for more than 100 languages
• Image preprocessing capabilities to improve OCR accuracy
• High level of customization for developers through Python libraries
• Open-source, allowing users to modify and extend the software as needed
• Supports a wide range of image formats, including TIFF, PNG, and JPEG

Pros:

• Free and open-source, no licensing costs
• Highly customizable for developers who need specific OCR functionalities
• Well-documented with an active developer community for support
• Works well with high-quality scans and structured text

Cons:

• Requires manual setup and technical expertise for implementation
• No built-in automation for document verification or fraud detection
• Accuracy may drop with low-quality scans, particularly for non-standard fonts or handwriting

Pricing:

• Free (open-source software)

Best for:

• Developers and small businesses who need a customizable OCR solution and are comfortable with manual setup and technical integration.

What Makes Tesseract Stand Out vs Nanonets:

Tesseract stands out against Nanonets for its cost-free, open-source nature, which makes it ideal for developers who want to build highly customized OCR systems without the need for a paid subscription. Unlike Nanonets, Tesseract does not offer built-in automation or machine learning for data extraction, making it better suited for simpler OCR tasks that require significant customization.

Key Considerations When Choosing a Nanonets Alternative

When evaluating alternatives to Nanonets, it’s essential to consider key factors that align with your business needs and document processing requirements. Here are the main considerations to keep in mind:

• Accuracy: Choose a solution that excels in your document types, such as invoices or scanned PDFs. Rossum shines with invoice automation, while Klippa DocHorizon excels in complex workflows.

• Language Support: Ensure the tool handles multiple languages if needed. Klippa DocHorizon supports 150+ languages, while others like Amazon Textract are more limited.

• Performance: Look for speed and efficiency in handling high volumes. Amazon Textract offers scalability, while Tesseract OCR is slower but cost-effective.

• Features: Consider what features are necessary, like table extraction or signature detection. Klippa DocHorizon provides an all-in-one solution, while Amazon Textract and Docparser excel in specific features.

• Cost: Open-source tools like Tesseract are free but require setup. Paid options like Docsumo or Rossum come with licensing fees but offer more advanced features and support.

• Integration: Ensure smooth integration with your systems. Docparser integrates well with cloud tools, while Klippa DocHorizon offers flexible API integration.

• Development Platform: Choose a solution that fits your tech stack. Tesseract works well with Python, while Klippa DocHorizon is designed for not-so-technical users with a drag-and-drop interface.

Ultimately, your choice depends on your business needs, but we will show you why we believe Klippa DocHorizon is a top choice for your business, offering advanced accuracy, flexible integration, and scalability to fit your growing document processing demands.

The Best Alternative to Nanonets: Klippa DocHorizon

While Nanonets offers a powerful AI-driven platform for OCR and data extraction, Klippa DocHorizon goes beyond by providing a complete Intelligent Document Processing (IDP) solution.

Klippa combines OCR with advanced features like document classification, data validation, fraud detection, and workflow automation – all in a single platform. This makes it an ideal alternative for businesses that need more than just OCR, offering end-to-end document automation for complex workflows.

What Makes Klippa DocHorizon Stand Out?

Klippa DocHorizon, part of the SER Group and a leader in the Gartner Magic Quadrant™ for Document Management, stands out with its all-in-one IDP solution, combining OCR, fraud detection, and workflow automation, making it the best alternative to Nanonets in 2025.

Klippa’s low-code platform makes it easy to automate and optimize every step of your document workflow. With powerful features and intuitive controls, you can:

• Create your own flows with an easy drag-and-drop user interface
• Indicate the tasks you wish to be carried out in the workflow
• Retrieve documents from existing databases, device folders, email, Google Drive, and many more
• Shorten document processing times with data entry automation
• Send data to existing applications with seamless document conversion
• Certify the authenticity of documents with document verification 
• Stay compliant with personal data protection requirements with smart data anonymization
• Ensure accurate document verification processes with document fraud detection
• Streamline the digital archive of your business with document classification and sorting 

If you’re seeking a more comprehensive alternative to Nanonets with advanced document processing, AI-powered automation, and workflow optimization, Klippa DocHorizon is the solution you need. Contact our team or schedule a free demo today!

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