OpenText Captiva: in summary
OpenText Captiva revolutionizes document handling for businesses seeking efficient data capture. Catering to enterprises, it accelerates document workflows with advanced automation, ensuring high accuracy and reducing manual entry. Key features include intelligent data extraction and seamless integration with existing systems.
What are the main features of OpenText Captiva?
Intelligent Data Extraction
OpenText Captiva's intelligent data extraction tools elevate efficiency by automating data capture from both structured and unstructured documents. The software leverages advanced recognition technology to ensure high accuracy and reliability.
- Advanced recognition technology: Captures and processes data from a wide range of document formats.
- Adaptive learning: Continuously improves accuracy over time by learning from user interactions.
- Automated workflows: Streamlines tedious data entry tasks, freeing up valuable human resources.
Seamless System Integration
Designed to integrate smoothly into your existing IT infrastructure, OpenText Captiva ensures a continuous flow of information across platforms, enhancing productivity and organizational cohesion.
- Comprehensive compatibility: Works with a variety of enterprise systems, including ERPs and CRMs.
- API support: Offers robust API options for easy customization and enhanced functionality.
- Scalability: Adapts to business growth, supporting expanding document processing needs.
Enhanced Automation and Efficiency
By automating repetitive tasks, OpenText Captiva boosts operational efficiency, reduces errors, and accelerates data processing, allowing businesses to focus on more strategic initiatives.
- Automated document classification: Efficiently categorizes and processes different types of documents.
- Batch processing capabilities: Handles large volumes of documents swiftly and seamlessly.
- Error reduction: Minimizes human error through sophisticated automated workflows.
Its benefits
OpenText Captiva: its rates
Standard Rate On demand |
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