IBM Datacap and OpenText Capture are leading document management solutions. OpenText Capture is often considered superior due to its comprehensive features, potentially justifying its higher cost.
Features: IBM Datacap manages both structured and unstructured data effectively, featuring robust annotation tools and seamless FileNet integration. It offers high extensibility with configurable rule sets, reducing manual intervention through automated workflows. OpenText Capture excels in multi-channel capabilities, including image and document processing integration with AI for improved automation, handling both structured and unstructured data efficiently, and offering strong integration options with platforms such as Salesforce and SAP.
Room for Improvement: IBM Datacap could enhance OCR speed and accuracy, especially for documents with watermarks. Integration with advanced AI like Watson could bolster its capabilities, and reporting and analytics need refinement. OpenText Capture requires simpler developer tools to handle new AI features and improvements in data extraction methods to align with advancements in language models.
Ease of Deployment and Customer Service: IBM Datacap is typically deployed on-premises or in private cloud environments. Customer service receives mixed reviews, with some users satisfied but others finding support slow. OpenText Capture offers balanced deployment options between on-premises and public cloud, though its technical support is sometimes stretched thin and less helpful than expected.
Pricing and ROI: IBM Datacap's pricing is considered high with variable models but offers competitive advantages when packaged with IBM solutions, providing cost balance for enterprises. OpenText Capture is seen as expensive, with pricing a notable downside. Both claim ROI through operational efficiency and reduced manual labor, yet Datacap’s flexible pricing models are advantageous over OpenText Capture.
| Product | Market Share (%) |
|---|---|
| OpenText Capture | 5.2% |
| IBM Datacap | 3.4% |
| Other | 91.4% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 6 |
IBM Datacap helps you streamline the capture, recognition and classification of business documents and extract important information. Datacap supports multiple-channel capture by processing paper documents on scanners, mobile devices, multi-function peripherals and fax. It uses natural language processing, text analytics and machine learning technologies, like those in IBM Watson, to automatically identify, classify and extract content from unstructured or variable documents. The software can reduce labor and paper costs, deliver meaningful information and support faster decision making.
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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