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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LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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ExtractAny
ExtractAny offers a professional, AI-driven solution for extracting structured data from complex sources such as websites, PDFs, and documents. With its no-code visual schema editor, users can easily configure extraction fields and use natural language prompts to specify the exact information needed. The platform excels at parsing nested tables, lists, and dynamic content, ensuring even complicated layouts can be processed accurately. Data extraction tasks run instantly with real-time monitoring and validation to guarantee clean JSON outputs. ExtractAny is suitable for a wide range of data types including contact info, product details, prices, and articles. Its flexible pricing models cater to casual users as well as high-volume enterprise clients, offering priority queues and API access at higher tiers. The tool streamlines data workflows for analysts, developers, and business professionals alike. Supported by global users across 30+ countries, ExtractAny continues to scale with growing demand.
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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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