

Grooper and OpenText Capture are competing in the data capture solutions category. Grooper excels in pricing and user support, while OpenText Capture has the upper hand in robust features and capabilities.
Features: Grooper is effective in data extraction, data type recognition, and seamless integration. OpenText Capture excels with its comprehensive document management features, scalability, and analytics capabilities.
Room for Improvement: Grooper could improve in handling extremely complex document structures, enhancing OCR accuracy under challenging conditions, and expanding its machine learning capabilities. OpenText Capture can improve deployment simplicity, user interface intuitiveness, and reduce its resource consumption during high-scale operations.
Ease of Deployment and Customer Service: Grooper offers straightforward deployment and responsive customer service, facilitating quick onboarding. OpenText Capture, with extensive functionality, requires more complex deployment, impacting the speed to operational status.
Pricing and ROI: Grooper provides a cost-effective solution with lower setup costs, leading to quicker ROI. OpenText Capture involves a larger initial investment but offers substantial long-term benefits and ROI through its advanced capabilities.
| Product | Market Share (%) |
|---|---|
| OpenText Capture | 5.2% |
| Grooper | 0.7% |
| Other | 94.1% |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 6 |
Grooper was built from the ground up by BIS, a company with 35 years of continuous experience developing and delivering new technology. Grooper is an intelligent document processing and digital data integration solution that empowers organizations to extract meaningful information from paper/electronic documents and other forms of unstructured data.
The platform combines patented and sophisticated image processing, capture technology, machine learning, natural language processing, and optical character recognition to enrich and embed human comprehension into data. By tackling tough challenges that other systems cannot resolve, Grooper has become the foundation for many industry-first solutions in healthcare, financial services, oil and gas, education, and government.
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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