Download JAR files tagged by image with all dependencies

GroupDocs.Total for Cloud is a suite of RESTful APIs that allows developers to seamlessly add powerful document collaboration functionality to their web/mobile applications or sites. With GroupDocs.Total, you can enable end users to view, collaboratively annotate, compare, convert, e-sign, assemble and securely share over 50 document and image types (including PDF and Microsoft Office) on the web, all without having to install any 3rd-party office software or browser plugins. With this SDK, you can easily customize and integrate GroupDocs’ document collaboration tools into your web or mobile Java application.

GroupDocs.Annotation lets you add notes to PDF and Word documents, as well as to image files – all directly from a web browser. It is a convenient web-based tool that doesn’t require any software installation and allows you and your colleagues to annotate documents online. Moreover, with GroupDocs.Annotation, you can add your notes to a document and then send it for approval or review, or share the document with others for online collaborative review in real-time. This way you get feedback faster and can keep everyone’s notes and comments in a single file.

GroupDocs.Viewer is an online document viewer that lets you read documents in your browser, regardless of whether you have the software that they were created in. You can view many types to word processing documents (DOC, DOCX, TXT, RTF, ODT), presentations (PPT, PPTX), spreadsheets (XLS, XLSX), portable files (PDF), and image files (JPG, BMP, GIF, TIFF). For each file, you get a high-fidelity rendering, showing the document just as it would if you opened it in the software it was created in. Layout and formatting is retained and you see an exact copy of the original. GroupDocs.Viewer lets you really read the document. You can search text documents, copy text and even embed the document – GroupDocs.Viewer and all - in a web page. You can print or download the file from GroupDocs.Viewer if you need to work with it offline.

JFace is a UI toolkit with classes for handling many common UI programming tasks. JFace is window-system-independent in both its API and implementation, and is designed to work with SWT without hiding it. JFace includes the usual UI toolkit components of image and font registries, text, dialog, preference and wizard frameworks, and progress reporting for long running operations. Two of its more interesting features are actions and viewers. The action mechanism allows user commands to be defined independently from their exact whereabouts in the UI. Viewers are model based adapters for certain SWT widgets, simplifying the presentation of application data structured as lists, tables or trees.

<b>JCAPTCHA</b>, for <b>J</b>ava <b>C</b>ompletely <b>A</b>utomated <b>P</b>ublic <b>T</b>est to tell <b>C</b>omputers and <b>H</b>umans <b>A</b>part <br/>The open source java framework for captcha definition and integration <br/> A captcha is a simple captcha container that contains a question, a challenge, and a response validation routine.<BR/> A captcha can only be built by a captcha factory that provides methods to build localized captchas.<br/> This jar aims to provide interfaces and implementation of generic and typed captcha and captcha factories.<BR/> It uses the word generator, types sub packages (image and sound) components (word to image, word to sound) to build typed captchas captchas.

GroupDocs.Signature for Java allows developers to write applications with ability to significantly sign electronic docs and verify them. Signatures can be of different types. API supports multitude of file formats and includes Pdf, Microsoft Office documents, Open Office formats, PowerPoint presentations, Images etc. The quite captivating fact about the API is, its UI less and independent calls can be made. It also provides a useful features to verify signed documents with stored signatures. Signature Types: - Text Signature - Image Signature - Digital Signature - Barcode Signature - QR-Code Signature - Stamp Signature Verification Types: - Text Signature - Digital Signature - Barcode Signature - QR-Code Signature For more details on the library, please visit GroupDocs website at: http://groupdocs.com/products/signature/java Note: The library comes up with some limitations in the evaluation mode. In order to test full features of GroupDocs.Signature for Java library, please request a free 30-day temporary license.

GroupDocs.Watermark for Java is a powerful document watermarking API to add image and text watermarks. Furthermore, API works to search and remove the watermarks which were already added to the documents by other third-party softwares. The watermarks added by this API are hard to remove by any third-party tools. It is straight-forward and self-descriptive for integration into the custom applications. The most notable features are: - Add text and image watermarks into documents and images - Search for possible watermarks in documents and remove them - Support various document formats: Pdf; MS Office: Word, Excel, PowerPoint, Visio - Support various image formats: png, bmp, jpeg, jpeg2000, gif, tiff, webp (including multiframe gif and tiff) - Process documents and images attached to stored email messages (msg, oft, eml, emlx formats are supported) - Add watermarks to images inside documents of all supported formats - Two ways of watermark adding/removing are supported: using generalized approach and working with supported format specifics

OpenIMAJ (Open Intelligent Multimedia in Java) is a collection of libraries and tools for multimedia analysis written in the Java programming language. OpenIMAJ intends to be the first truly complete multimedia analysis library and contains modules for analysing images, videos, text, audio and even webpages. The OpenIMAJ image and video analysis and feature extraction modules contain methods for processing visual content and extracting state-of-the-art features, including SIFT. The OpenIMAJ clustering and nearest-neighbour libraries contain efficient, multi-threaded implementations of clustering algorithms including Hierarchical K-Means and Approximate K-Means. The clustering library makes it possible to easily create visual-bag-of-words representations for images and video with very large vocabularies. The text-analysis modules contain implementations of a statistical language classifier and low-level processing pipeline. A number of modules deal with content creation, including interactive slideshows and animations. The hardware integration modules allow cross-platform integration with devices including webcams, the Microsoft Kinect, and even devices such as GPS's. OpenIMAJ also incorporates a number of tools to enable extremely-large-scale multimedia analysis using a distributed computing approach based on Apache Hadoop.