IBM Datacap and OpenText Capture are two prominent contenders in the document capture and management solutions category. While IBM Datacap has an edge with efficient integration and data extraction, OpenText Capture attracts those prioritizing speed and robust automation.
Features: IBM Datacap provides strong integration with enterprise systems, advanced recognition for diverse document types, and customization options. OpenText Capture is noted for its fast processing speed, high accuracy, and robust automation features, supporting extensive process automation.
Room for Improvement: IBM Datacap could enhance its speed and automation features further. OpenText Capture may benefit from improving the simplicity of deployment and integrating more seamless customization options. Both could work on refining the user interface.
Ease of Deployment and Customer Service: IBM Datacap offers straightforward deployment with extensive support options and detailed documentation, easing integration into existing systems. OpenText Capture requires more technical expertise during deployment but provides substantial support post-deployment.
Pricing and ROI: IBM Datacap generally involves higher initial setup costs but offers a quicker ROI due to easier integration. OpenText Capture has potentially lower setup costs with long-term ROI benefits when its automation features are fully utilized.
| Product | Market Share (%) |
|---|---|
| OpenText Capture | 7.4% |
| IBM Datacap | 4.4% |
| Other | 88.2% |
| 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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