UnForm
UnForm is a powerful enterprise document management and process automation solution that seamlessly integrates with any application. Our platform-independent, fully browser-based solutions provide the ability to create, deliver, capture, index, route, and store documents from start to finish so that a transaction’s entire life cycle can be accessed with one easy search. Our data extraction and workflow capabilities enable the automation of data entry-intensive processes.
UnForm.Cloud, a hosting service for UnForm Document Management, is a perfect fit for those who are running cloud-based ERP systems or looking for a solution with no hardware to purchase, manage, or maintain. Implementing UnForm has never been easier. Backed by a proven hosting vendor, Oracle, you have the peace of mind knowing your data is safe and secure with well-managed data centers and cross-region backups, ensuring reliable and continues access to your data when you need it.
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Square 9
The Square 9 AI-powered intelligent information processing platform takes the paper out of work and makes it easier to get things done with digital workflows that automate many aspects of how you work today. We make it easy by extracting information from scans or PDFs, storing documents in a searchable archive, and building digital twins of your current processes through graphical workflows.
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Google Cloud Natural Language API
Leverage advanced machine learning techniques for thorough text analysis that can extract, interpret, and securely store textual data. With AutoML, you can create top-tier custom machine learning models effortlessly, without writing any code. Implement natural language understanding through the Natural Language API to enhance your applications. Utilize entity analysis to pinpoint and categorize various fields in documents, such as emails, chats, and social media interactions, followed by sentiment analysis to gauge customer feedback and derive actionable insights for product improvements and user experience. The Natural Language API, combined with speech-to-text capabilities, can also provide valuable insights from audio sources. Additionally, the Vision API enhances your capabilities with optical character recognition (OCR) for digitizing scanned documents. The Translation API further enables sentiment understanding across diverse languages. With custom entity extraction, you can identify specialized entities within your documents that may not be recognized by standard models, saving both time and resources on manual processing. Ultimately, you can train your own high-quality machine learning models to effectively classify, extract, and assess sentiment, making your analysis more targeted and efficient. This comprehensive approach ensures a robust understanding of textual and audio data, empowering businesses with deeper insights.
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IBM Datacap
Optimize the process of capturing, recognizing, and classifying business documents with IBM® Datacap software, an essential component of the IBM Cloud Pak® for Business Automation. This software enhances the efficiency of document management by utilizing advanced technologies, including natural language processing, text analytics, and machine learning, to identify, classify, and extract information from unstructured and variable paper documents. It accommodates input from multiple channels, such as scanners, faxes, emails, digital files like PDFs, and images sourced from applications and mobile devices. By leveraging machine learning, it automates the handling of complex or unfamiliar formats, making it easier to manage highly variable documents that traditional systems find challenging. Additionally, it allows for the export of documents and data to various applications and content repositories, both from IBM and other providers. Furthermore, users can quickly configure capture workflows and applications through an intuitive point-and-click interface, significantly accelerating the deployment process. This streamlined approach ultimately enhances productivity and ensures a more seamless document management experience.
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