OpenText Capture and Klippa DocHorizon are document management solutions. Klippa DocHorizon appears to have the upper hand due to its robust features and integration capabilities.
Features: OpenText Capture provides document scanning, OCR capabilities, and seamless integration with enterprise systems. Klippa DocHorizon offers AI-driven data extraction, easy integration with platforms, and advanced automation features.
Ease of Deployment and Customer Service: OpenText Capture uses a traditional deployment model suitable for established IT environments, offering comprehensive support. Klippa DocHorizon offers cloud-based deployment, ensuring flexibility with responsive service.
Pricing and ROI: OpenText Capture is noted for its competitive initial setup costs, offering solid ROI with enterprise features. Klippa DocHorizon, though slightly more expensive, provides substantial ROI through powerful automation and efficiency in data handling.
One platform to automate all your document related workflows. Automatically OCR, extract data, anonymize, convert, classify and verify documents with the Klippa DocHorizon platform.
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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