Search Results for "java graphics"
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Showing 4 open source projects for "java graphics"
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Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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Iris Powered By Generali - Iris puts your customer in control of their identity.Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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The Embedded Web Server is designed for use in embedded systems with limited resources (eg, no disk). It supports both static (converted from a standard web tree, including graphics and Java class files) and dynamic pages. It is written in GCC Ada. The software is issued under the GPL Version 3 with the additional permissions granted by the GCC Runtime Library Exception version 3.1.
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A Java based file uploading program. Shows a progress bar for each file that is currently being uploaded. Also makes thumbnails for each image that is pending. Also supports drag n drop.
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LiveScreen makes it possible to publish GUI screenshots that users can interact with. Unlike other remote desktop solutions, no special client is required. Web browsers can act as clients without employing helper apps, plugins or Java.
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Generates JPEG images on the fly. The content is a mixure of xml-template based data, like which pic-set and font should be used, and the url specific date, like which pic from the pic-set and which text should be rendered.
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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