OCR software helps you read, extract, classify, and convert any kind of document or image that contains typed, handwritten, or printed text. It does so by leveraging Optical Character Recognition technology, which turns unstructured documents into structured, machine-readable data.
The need for well-performing OCR software is constantly growing. Documents such as emails, images or scanned files, pose a big challenge to organizations, due to their unstructured nature. Manually extracting information from these files is a time-consuming and repetitive task, as unstructured data needs further processing, delaying your business processes even more.
As the market offers many OCR solutions, it’s important to go through all the viable options and compare them, before coming to a decision. In this blog, you will find a list of the best OCR software in 2025, as well as tips on how to choose the best solution for your business. Let’s get started!
Key Takeaways
The 9 Best OCR Software Solutions for 2025 are:
- Klippa OCR
- Rossum
- ChronoScan OCR
- Tungsten Automation (Kofax)
- Nanonets
- Amazon Textract
- Docsumo OCR
- OCR.space
- Tesseract
Comparison of the best OCR software in 2025:
Best OCR Software Solutions
Without beating around the bush for too long, let’s delve right into the list and see the best 9 OCR software in 2025.
1. Klippa OCR
Automate data extraction with Klippa’s AI-powered Document OCR. Get structured data from invoices, receipts, bank statements, passports, and 100+ more documents in seconds.
Klippa’s OCR is developed in-house, providing complete control over the software, which allows customization for specific industries, document types, or customer needs. The smart OCR software allows you capture, recognize, and convert scanned documents into structured data automatically.
Whether you need document automation for your loyalty programs, cashback campaigns, identity verification, or document processing, the AI-driven OCR solution can successfully help you capture the data you need.
Pros
- Upload files via app, web, and email
- Process documents within seconds with up to 99% accuracy
- Process PDF, JPG, PNG, XLSX, and other formats
- Utilize image pre-processing
- Extract key data from any document without relying on templates
- Validate data and flag any missing or potentially fraudulent information
- Forward structured data in your CRM, ERP or database directly
- Convert and export files as JSON, XLS, CSV, UBL, XML, and more
Cons
- No support for non-Latin languages
Pricing
- €25 free credit
- License or usage-based pricing model
- Contact the team for pricing details
Ideal business type and size: Klippa’s OCR is best suitable for businesses with large volumes of documents.
2. Rossum
Rossum offers an AI-powered OCR to its users. Rossum’s solution helps users reduce manual data entry and facilitate data extraction from various document types.
Pros
- Up to 95% data extraction accuracy with AI-powered OCR
- Detection of duplicate documents
- Document classification with AI
- Data privacy and security compliance
- Multiple integrations available
Cons
- Lack of available documentation for integration
- Based on user reviews, the software occasionally fails to accurately extract data from specific kinds of documents (Software Advice)
Pricing
- Custom pricing, depending on the business’s requirements and needs
Ideal business type and size: Rossum is best suited for medium to large-sized businesses that handle a high volume of invoices primarily in the English language.
3. ChronoScan OCR
ChronoScan is a multipurpose software designed to help you with document processing and data capture and extraction using OCR technology. This complete suite for data entry works in a fast way, enabling you to organize your documents in minutes.
Pros
- Batch-processing for high-volume documents
- Line item and table extraction
- Bar code extraction
- Can be integrated into third-party applications, such as CRM or ERP systems
- Document management for scanned and digitized files
Cons
- Only converts PDF files to XML or CSV
- Does not offer onboarding support for its solution
- No fraud detection for documents or images.
- Based on user reviews, extended features like workflow automation and archiving are only available with the premium version (Capterra)
Pricing
- Professional: For small applications for €245/one time
- Advanced: For medium/big applications for €595/one time
- Enterprise: For big/scalable applications, custom pricing
Ideal business type and size: ChronoScan OCR is best suited for freelancers, small, medium and large companies that mainly process PDF documents to XML or CSV formats.
4. Tungsten Automation (Kofax)
Tungsten Automation OCR solution – OmniPage, helps convert and edit documents, as well as making them searchable and shareable. Tungsten offers fast OCR, ICR, barcode recognition, PDF compression and image processing.
Pros
- Capturing and validation of invoices from paper, PDF, email attachments, and electronic formats
- Recognition and capturing of fields, line items and tables
- Search, edit, and access documents on any device
- Support of 100+ OCR languages
- Integration with popular ERP and accounting systems, such as Microsoft D365 and Oracle
Cons
- Lack of available output formats
- Based on platform reviews, the invoice verification software displays occasional issues with data extraction accuracy (Trust Radius)
- Based on user reviews, the software lacks customization options, particularly for reporting and workflow adjustments (Capterra)
- Based on user reviews, the implementation and learning curve for the software is tedious (Gartner)
Pricing
- Custom pricing, depending on the business’s requirements and needs
Ideal business type and size: Tungsten Automation is best suited for medium to large-sized enterprises with high document volumes and multi-entity operations.
5. Nanonets
Nanonets is an OCR software provider that offers a modern and functional solution for automating document-related processes. Nanonets helps companies automate document-heavy business processes like accounts payable, order processing and insurance underwriting.
Pros
- Data extraction from PDFs, images, scans, tables, emails, and websites
- Handwriting recognition
- End-to-end document management system
- Good customer support
- Line item and custom data field extraction
Cons
- Limited outputs available for the extracted data
- Limited line item extraction options
- Based on user reviews, the software is relatively expensive for smaller businesses and lacks quality customer support (TechRadar)
Pricing
- Starter plan: Try out of the platform with limited features and 500 pages, then $0.3/page + $0.5/step of workflow integration
- Pro plan: Advanced on-platform tools for $999/month/workflow
- Enterprise plan: Custom workflow add-ons, custom pricing
Ideal business type and size: Nanonets is best suited for small to medium-sized businesses.
6. Amazon Textract
Amazon Textract is a good solution for businesses that need to extract printed text from various document types. This software uses machine learning to extract both structured and unstructured data from your files.
Pros
- Extraction of printed text, handwriting, layout elements, and data
- Table extraction and signature detection
- Custom smart search indexes
- Custom document processing workflows
- Document classification for improved archiving
Cons
- Only processes documents in English, Spanish, Italian, French, Portuguese
- Only supports PNG, JPEG, and PDF formats
- Processing large volumes of documents only possible with the premium version
- Based on user reviews, the OCR has a lot of accuracy issues (G2)
Pricing
- Custom pricing, depending on the business’s requirements and needs
Ideal business type and size: Amazon Textract is best suited for medium to large enterprises with document-heavy workflows.
7. Docsumo OCR
Docsumo‘s OCR is a quick and efficient way to extract data from images or PDF documents. It uses deep learning to create machine-readable text. Docsumo’s solution makes scanning and data extraction easy, no matter how complicated the layout is.
Pros
- Up to 90% accuracy in data extraction
- Option to review extraction output, for increased accuracy
- Convert the documents to JSON, Excel, CSV, or TXT
- Does not store processed documents on its servers
- Table extraction, from PDF to Excel
Cons
- The only supported input format is PDF
- Only processes 4 files simultaneously
- Cannot process files larger than 200MB
- Based on user reviews, Docsumo provides categories for documents that can be processed, and if users go outside of these categories (e.g. unique invoices) the software experiences issues with data extraction (Software Advice)
Pricing
- Growth plan: For businesses that need to automate one or two document types from $500+/month
- Business plan: Platform for businesses that need to capture specific data points from documents and train on their data, custom pricing
- Enterprise plan: for enterprises that need to process multiple document types, train on their data, and implement custom workflows, custom pricing
Ideal business type and size: Docsumo’s OCR is best suited for small to medium-sized businesses that mainly process and scan relatively simply structured documents.
8. OCR.space
Ocr.space is a cloud-based service that uses OCR to convert scanned documents or images containing text into editable PDF files. This OCR solution allows you to upload images or files in PNG, JPG, WEBP, or PDF formats or paste your URL to the source file.
Pros
- Automatic image pre-processing
- Table recognition system
- Auto-enlarge documents for the best quality
- Searchable system for converted documents
- Ideal for a small volume of documents
Cons
- File size restriction for documents bigger than 1MB in free plan
- Template-based OCR, which comes with limitations
- Extraction output can only be in JSON format
- Bulk processing is available only with the premium plan
Pricing
- Free plan: Up to 25,000 requests with a file size limit of 1 MB per image
- PRO plan: Up to 300,000 requests with a maximum file size of 5 MB per image for $30/month
- PRO PDF plan: Up to 300,000 requests with a file size limit exceeding 100 MB for $60/month
- Enterprise plan: Customizable solutions and unlimited conversions for $999/month
Ideal business type and size: OCR.space is best suited for freelancers and small businesses with occasional OCR needs or limited technical expertise.
9. Tesseract
Tesseract is an open-source OCR software used to extract text from images. Tesseract can recognize more than 100 languages and it is compatible with many programming languages and frameworks.
Pros
- Free and open-source OCR solution
- Recognition of 100+ languages
- Performs well with high-quality scans and structured text
- Can be wrapped and coupled with Python OCR libraries
- Extraction of text from multi-page PDFs and various image formats
Cons
- Time-consuming and expensive to set up
- Lack of document types available for processing
- Does not perform document verification
- Does not cross-validate data
- Not compliant with data privacy regulations
- Not able to detect document fraud or forgery
- Based on user reviews, Tesseract OCR can be highly inaccurate, especially while processing medium and low quality images (Reddit)
Pricing
- Free
Ideal business type and size: Tesseract is best suited for smaller businesses and start-ups needing a free, open-source OCR solution for on-premise or customizable document processing, but it requires technical expertise for setup and optimization.
Free OCR Solutions
When you have a simple use for OCR with a low document processing volume, you may want to consider free OCR solutions available. Some of these options include:
- New OCR
- Online OCR
- Office Lens
- Tesseract
- OCR.space
- OCR.Best
While these solutions are free, they do come with certain limitations you want to take into consideration:
- Lack of scalability: Often these free optical character recognition software solutions don’t offer the scalability that you may need, especially when your document volume is set to increase, while your business is steadily growing.
- Low data extraction accuracy: Most of the free solutions don’t have data extraction capabilities to get information extracted accurately, creating more bottlenecks than it solves.
- Require resources to develop: Open-source OCR software like Tesseract is a good option, however, it requires time and money to build, train, and maintain, so it fits your business needs.
Before committing to an OCR provider, it’s recommended you first assess the criteria based on which you would choose the OCR software.
Criteria For Choosing The Best OCR Provider
It’s important to know what you want from an OCR vendor. To find the best company, you can use the following list to determine which vendors are right for you based on your business’s needs:
Document Support
Whether your business needs to process a large volume of documents monthly, or only a few, having good document support is of very big help. Be it financial, identity or legal documents, having an OCR solution that is able to process different document types is always a plus.
Document Capture Versatility
It might not always be that businesses use the entirety of a document’s information. Therefore, an important feature to look for is the extraction of separate line items, as well as key-value pairs.
Data Extraction Accuracy
Most OCR solutions available on the market have an extraction accuracy of 80%. However, if you want to get accurate results from the get-go, you might want to look for an OCR solution that achieves up to 95% accuracy in data capture.
Onboarding Support
It is important to have unconditional support from your OCR provider. Great customer service is essential not only during the onboarding process but also throughout the entire collaboration.
Bulk Document Processing
Improving the turnaround time in document-related processes is every company’s goal. Processing a document one by one is far from achieving efficiency, thus having the option to upload and process documents in bulk is a great asset for an OCR solution.
Document Fraud Detection
Assessing the authenticity of files and images and complying with data privacy regulations is a crucial matter for any organization, regardless of its industry. Having OCR software that can detect forgery or document fraud helps businesses stay compliant and saves large amounts of money simultaneously.
Extensive Documentation
To ensure a seamless integration process, intelligent document recognition software must come with extensive documentation upon integration. This makes the transition seamless, for instance to existing applications such as Xero, UIPath, NetSuite, or your company’s CRM and ERP systems.
For your convenience, we created a downloadable comparison checklist for you. This will help in comparing different OCR providers and choosing the right solution.
How To Switch From OCR Provider
If you already make use of the services of an OCR provider but you’re not fully satisfied and thinking about a switch, you might wonder how to approach this. Well, first it’s wise to explore the market. Then you should contact different vendors and create a short list of those that potentially provide a better service than your current one.
After that, the following steps can be conducted:
- Request a demo
- Test the solution
- Mapping out JSON fields
- Integrate the solution
- Start using the new OCR solution
1. Request a demo
This step is probably obvious to you, but before you commit to a new OCR provider, you should request a demo. That way you can get to know the vendor, ask questions, and find out if they can better solve your problem.
If you are happy with what you see and hear, the next step would be to test the solution.
2. Test the solution
When the demo is successful, we would advise testing the solution to see what the output of the new vendor looks like. Most likely, your old and new vendors are using different names for the fields that need to be extracted.
It is important to look at that in the testing phase so that you can prepare for changes that have to be made. This brings us to the next step: Mapping out JSON fields.
3. Mapping out JSON fields
As previously mentioned, the name of the output data (in JSON) will most likely differ from the name of the output of the new vendor. It is essential to internally connect the old names with the new name of the output field.
That way, once in use, the OCR engine knows which data should be extracted and which output it should show. Then it is time to integrate the solution.
4. Integrate the solution
Integrating the solution into your current infrastructure shouldn’t be difficult, especially when you previously used an OCR API. If the vendor can offer you clear and easy-to-understand documentation, the integration process should be efficient and uncomplicated.
This part can be done in a matter of hours, depending on your company’s resources (i.e. skilled people and time). Once everything is set up and integrated, you are ready to use the new OCR software.
All sounds pretty easy, right? The last remaining question is then which OCR provider to choose. Of course, we think Klippa would be a great option no matter the industry, but the decision is up to you. If you want to know why other companies have decided to switch to Klippa, keep on reading.
How Klippa’s OCR Software Stands Out from the Crowd
Klippa’s AI-driven OCR software can handle a variety of complex documents capable of extracting line items, tables, MRZ codes, and even signatures from documents. You can simply bulk upload your unstructured documents and get the data in various structured formats within seconds. It doesn’t encounter the limitations in document processing that many of the OCR solutions have, thanks to the addition of AI technologies.
If you want to break the barriers of data extraction and improve your entire document workflow, Klippa DocHorizon offers you a fully equipped Intelligent Document Processing low-code platform. 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
Contact our experts for more insight into our OCR software capabilities or book a free demo down below!
FAQ
OCR stands for Optical Character Recognition. It’s a technology that identifies and extracts text from scanned documents, images, or PDFs, converting it into machine-readable data.
OCR software is a tool that uses OCR technology to recognize, extract, classify, and convert text from various types of documents or images, turning unstructured data into structured information.
OCR software is primarily used to automate the extraction of text from unstructured documents like receipts, invoices, passports, and emails. This automation speeds up data entry and reduces manual processing, helping organizations manage data more efficiently.
The best OCR technology depends on your business needs. Top options in 2025 include Klippa for high accuracy and API integration, Rossum for general data extraction, and Amazon Textract for creating document workflows. Each offers unique strengths in accuracy, integration, and processing capabilities.