Apryse PDF SDK
Apryse (formerly PDFTron) transforms how organizations manage documents.
Built for both server and web applications, Apryse empowers businesses and developers to securely handle the entire document lifecycle — from creation and collaboration to compliance and archiving — without relying on third‑party services.
With Apryse, you can:
Run at enterprise scale on your own infrastructure, ensuring privacy, compliance, and maximum control.
Deliver modern, in‑browser document experiences with fast, accessible viewing, editing, and collaboration tools.
Integrate seamlessly across platforms, supporting PDF, Microsoft Office, CAD, and many other file types.
Streamline workflows and reduce costs with technology trusted by leading enterprises worldwide.
Apryse makes document workflows smarter, faster, and more secure — so teams can focus less on manual processes and more on meaningful work.
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Square 9
Square 9's advanced AI-driven platform revolutionizes information management by eliminating the need for paper, streamlining tasks with automated digital workflows that enhance productivity. It simplifies operations by capturing data from scanned documents or PDFs, organizing files in an easily searchable database, and creating digital replicas of existing processes using visual workflow designs. This innovative approach not only saves time but also increases efficiency in everyday tasks.
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IBM Datacap
Streamline the capture, recognition, and classification of business documents using IBM® Datacap software, a vital part of the IBM Cloud Pak® for Business Automation. This innovative software significantly boosts document management efficiency by incorporating cutting-edge technologies such as natural language processing, text analytics, and machine learning to effectively identify, classify, and extract data from unstructured and diverse paper documents. It supports input from a variety of channels, including scanners, faxes, emails, digital files like PDFs, and images obtained from mobile devices and applications. By utilizing machine learning capabilities, it simplifies the processing of complex or unfamiliar formats, facilitating the management of highly variable documents that conventional systems struggle with. Moreover, it provides the flexibility to export documents and data to a range of applications and content repositories, both from IBM and third-party providers. Users benefit from a user-friendly point-and-click interface that enables rapid configuration of capture workflows and applications, which greatly speeds up the deployment process. This efficient methodology not only boosts productivity but also guarantees a more integrated document management experience, ultimately allowing businesses to focus more on their core operations. As a result, organizations can achieve better outcomes and enhance their decision-making processes.
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Tungsten Transact
Tungsten Transact offers a state-of-the-art approach to intelligent document automation, optimizing the handling of incoming data for organizations each day. Available for both cloud and on-premises deployment, Transact meets a wide range of needs by employing advanced AI-powered OCR and machine learning classification techniques to quickly identify and extract critical information from various document formats with minimal user intervention. This adaptable solution is equipped to manage documents in numerous business and governmental contexts. In particular, Tungsten's invoice processing feature leverages AI and OCR technologies to automatically capture and extract data from invoices in just seconds, which boosts efficiency in accounts payable, accounts receivable, and remittance processing, thus reducing the burden of manual tasks. Moreover, government entities, frequently overwhelmed by extensive collections of paper documents, are eager to upgrade their processes, and Tungsten's groundbreaking capture and extraction technologies provide a practical means to transform any heavily documented process. By adopting such innovative solutions, organizations can not only enhance their operational efficiency but also achieve greater accuracy in their data management practices, ultimately leading to improved decision-making and service delivery.
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