Best OCR Software 2025: How to Choose, Features and Pricing
Best OCR Software 2025

Best OCR Software 2025: How to Choose, Features and Pricing

Optical Character Recognition software has evolved as one of the essential tools for businesses wanting to optimize their document processing workflow. In 2025, the market is full of robust OCR solutions for diverse use cases. Below, let us compare six of the best OCR software options, focusing on their key features, things to consider, and pricing.

Docsumo

Docsumo is the best OCR software solution especially designed for structured document processing such as invoices, receipts with higher accuracy and automation capabilities.

Key Features

  • Structured document processing like invoices, receipts, purchase orders etc
  • AI-powered data capture with increased accuracy to reduce the manual efforts.
  • Pre-configured templates that can be easily deployed, with minimal setup time.
  • Real-time extraction and processing of extracted data
  • Multiples file formats supported, PDFs, images etc
  • Document classification and validation using built-in tools.
  • Scalable for growing business needs.

Things to Consider

  • Well-suited for finance and retail businesses that heavily use standardized document formats.
  • Additional customization may be needed for highly unique document layouts.
  • Not much effective for unstructured or handwritten documents.
  • Offline functionality is not well-supported.

Pricing

Dosumo’s pricing model is divided into free, growth, and enterprise plans. Subscription-based pricing model with plans available for different business sizes. The free plan offers a free trial which includes 100 pages per month.

Amazon Textract

Amazon Textract is the best OCR software, a scalable application for businesses that processes very high-volume content, ideal for large businesses that need support.

Key Features:

  • The printed text and hand-writing data extraction as well as the structurally extracted table or form can be automatically handled.
  • With easy integrations with AWS services, businesses utilizing Amazon Web Services can see why this powerful service is good.
  • Architecture scalable enough for a high document processing volume.
  • Comes along with advanced security for the safeguard of data.
  • Supports both structured and semi-structured documents.
  • Real-time processing for dynamic workflows.

Things to Consider

  • It is the best OCR software for organizations that have experience with the AWS infrastructure.
  • The pay-as-you-go pricing may be too pricey for businesses with high document processing requirements.
  • Technical skills may be required for setup.
  • It has limited capabilities for offline processing.

Pricing

It charges based on usage, beginning at $1.50 per page for basic text extraction. Extra features such as table or form extraction will cost more.

Google Document AI

Google Document AI uses Google’s advanced AI models to process both structured and unstructured documents with ease, supporting multilingual and handwritten text.

Key Features

  • Uses Google’s advanced AI to process both structured and unstructured documents.
  • Supports handwriting recognition and multilingual documents.
  • Seamless integration with Google Cloud and Workspace tools.
  • Provides APIs for custom application development and workflow automation.
  • Robust machine learning models for improved accuracy over time.
  • Real-time data extraction for dynamic business needs.
  • Supports a broad range of industries and document types.

Things to Consider

  • Ideal for businesses already invested in Google’s ecosystem. Some technical knowledge is required for integration and deployment.
  • Offline processing capabilities are limited.
  • Data storage on Google Cloud can be expensive for high-volume users.

Pricing

Usage-based pricing starts at 1.50 per 1000 pages for basic OCR operations. Enterprise pricing is available for large-scale requirements.
How OCR Software Works

ABBYY FlexiCapture

ABBYY FlexiCapture is an enterprise-scale optical character recognition software that provides much customization as well as multi-language support for complex document workflows.

Key Features

  • Advanced data capture functionality designed especially for structured and semi-structured documents.
  • Multi-language support with high accuracy.
  • Much customization to suit industry-specific workflows and types of documents.
  • Support both on-premise and cloud-based deployment.
  • Performance tracking analytics as well as reporting feature.
  • Scalability for the input volume of documents.
  • Robust security feature for handling sensitive data.

Things to Consider

  • For enterprise-level organizations with wide document processing.
  • Holding significant entry and training costs that might be too high for a small business.
  • Too much just for simple OCR tasks.
  • Needs long-term support in regard to customization and maintenance.

Pricing

ABBYY offers two different plans for businesses and individuals. The pricing for the individual plan starts at $34.50/year for mac devices and $39.50/year for windows users.
Software
Key Features
Pricing Model
Best For
Docsumo
Structured document processing, AI-powered data capture
Free, Growth, Enterprise plans
Finance and retail businesses
Amazon Textract
High-volume processing, AWS integration
Pay-as-you-go
Large businesses
Google Document AI
Multilingual support, handwriting recognition
Usage-based
Businesses in Google ecosystem
ABBYY FlexiCapture
Multi-language support, high customization
Individual and business plans
Enterprise-level organizations
Rossum
AI-powered invoice processing, fraud detection
Starter from $1500/month
Finance and accounting teams
Nanonets
No-code solution, pre-trained models
From $0.3 per page
Small to large enterprises

Rossum

Rossum streamlines the ability for finance and accounting teams to process documents by using AI-powered optical character recognition for invoices and receipts.

Key Features

  • AI-Powered OCR-based Invoice and Receipt Processing
  • Easy to learn and intuitive, requiring little training to learn the OS completely
  • API integration is done in real time for workflow automation
  • Adaptive learning to increase the accuracy with the passage of time
  • Fraud detection for financial documents
  • Scalable for organizations of all sizes
  • Pre-built templates ensure faster setup

Things to Consider

  • Primarily targeted towards finance and accounting departments
  • Does not provide a lot of flexibility in terms of processing non-financial documents
  • Being cloud-based, it would require stable internet connectivity.
  • This might need some customization to handle the non-standard layout of documents.

Pricing

Rossum segments its pricing model into four categories like starter, business, enterprise and ultimate based on volume. The starter plan begins with $1500 as the monthly fee.

Nanonets

Nanonets is a no-code, AI OCR that is user-friendly and flexible with the needs of a business, which is from ID processing to an invoice.

Key Features

  • No-code top OCR software solution for ease of use
  • Pre-trained models in common formats, such as invoices, IDs, and forms
  • Workflow is customizable with an interface in drag-and-drop.
  • Scalable to accommodate small businesses and large enterprises.
  • API integration for seamless automation.
  • Adaptive learning for continuous improvement.
  • Multi-language support for global operations.

Things to Consider

  • Limited support for highly specialized document types.
  • May require manual fine-tuning for unique document layouts.
  • Fully cloud-based, which may not suit businesses with strict offline requirements.
  • Subscription costs may be high for small businesses with minimal document processing needs.

Pricing

Nanonets offers three plans such as starter, pro and enterprise. The price per page for starter plan starts at $0.3 based on the document complexity.

Conclusion

Selecting the best OCR software in 2025 depends on your specific use case, whether it’s processing invoices, extracting data from forms, or handling multilingual documents. Evaluate the above options based on your document types, integration requirements, and budget to find the best fit for your organization.