

Hyland Brainware and OpenText Capture are competing in the intelligent data capture solutions category. Hyland Brainware seems to have the upper hand in terms of ease of use and customer support, while OpenText Capture stands out due to its advanced features and comprehensive data capture capabilities.
Features: Hyland Brainware offers seamless integration with existing systems, strong document processing capabilities, and excels particularly in batch-processing large volumes of documents. OpenText Capture provides a more extensive array of advanced features, comprehensive data extraction, and analytics, making it more versatile for complex data environments.
Ease of Deployment and Customer Service: Hyland Brainware's quick implementation process and efficient customer support contribute to smoother deployment experiences. OpenText Capture requires a more substantial initial setup effort, but its customer service offers in-depth assistance for thorough onboarding.
Pricing and ROI: Hyland Brainware is noted for its competitive pricing and quick ROI due to its lower setup costs. OpenText Capture involves higher initial investments, but its comprehensive feature set often justifies the expense, leading to substantial long-term gains for complex use cases.
| Product | Market Share (%) |
|---|---|
| OpenText Capture | 5.2% |
| Hyland Brainware | 2.2% |
| Other | 92.6% |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 6 |
For enterprise organizations who need to capture paper and digital documents, Brainware Intelligent Capture provides fast, accurate and efficient capture to help organizations get to what they really need, the data. Brainware advances the document capture process by using automation technologies, such as machine learning, to automatically classify, extract, verify and validate that data. This puts documents and data more quickly into the hands of the personnel who need it, improving response time to partners and customers and elevating business intelligence, all while reducing costs.
OpenText Capture leverages machine learning for effective document extraction and automated vendor invoice management, boasting powerful integration capabilities with CRM systems and an efficient OCR tool. Its platform supports API interaction for comprehensive document management.
OpenText Capture enhances document processing through accurate indexing with machine learning and efficient image capture via OCR, integrating data into systems like ECM and ERP. Users benefit from streamlined workflows, automating tasks such as extracting invoice data from scanned or emailed documents. Challenges include improving AI-driven document duplicate detection, OCR for lease abstraction, and the development of mobile capture features. Users seek a more user-friendly experience with lower licensing costs.
What are the key features of OpenText Capture?Industries rely on OpenText Capture for efficient document management in capturing vendor invoices and automating workflows. In real estate, OCR might be used for processing lease documents, streamlining property management. Finance sectors benefit from automated invoice handling, often integrating data with ERP systems for improved financial oversight.
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