HTML5/JavaScript Image Annotation and Markup SDK Technology

Web developers can use LEADTOOLS HTML5 and JavaScript Annotation SDK to provide zero-footprint, cross-platform image annotation and markup applications. Applications developed with LEADTOOLS JavaScript libraries are usable on any desktop, tablet, or mobile device browser that supports HTML5, including Chrome, Firefox, Internet Explorer, iOS, Android, and more.

LEADTOOLS Annotations include a clean and diverse collection of markup objects and collaborative tools designed to impart visual metadata to digital images and documents which enhance user experience, productivity, and security. Annotations can be added to any file format supported by LEADTOOLS and are most often used in a presentation layer without altering the image, but can also be permanently burned onto the image data.

Overview of LEADTOOLS HTML5/JavaScript Annotation SDK Technology

The following are some examples of web browsers that support HTML5 markup:
  • Desktop Browsers
    • Chrome
    • Firefox
    • Edge
    • Internet Explorer 9 and later
    • Opera
    • Safari
  • Mobile and Tablet Browsers
    • Safari
    • Chrome
    • Edge
    • Internet Explorer 10 and later
    • Android
    • Firefox Mobile
    • Opera Mobile

Technology Related to HTML5/JavaScript Image Annotation and Markup

Start Coding with LEADTOOLS

Download the Full Evaluation

The Full Evaluation Download includes all LEADTOOLS Document, Medical, Imaging, and Vector technologies for all development and target platforms. Get everything LEADTOOLS all in one convenient download.

Download Projects using NuGet

LEADTOOLS provides NuGet packages for .NET Framework, .NET Core, UWP, and Xamarin development. Download projects that reference our NuGets and start coding right away.

Code Tips That use HTML5/JavaScript Image Annotation and Markup

Documentation Links for HTML5/JavaScript Image Annotation and Markup

Demo Applications that Include HTML5/JavaScript Image Annotation and Markup

HTML5/JavaScript Annotations

Uses HTML5 and JavaScript to demonstrate our annotation and image-markup technology. Users may use the annotation toolbar at the bottom of the image to add stamps, sticky notes, rulers, and various other image markup devices to an annotation layer of the image without changing the original image data.

HTML5/JavaScript Medical Web Viewer Framework

A zero-footprint Medical viewer to display DICOM images (pixel data) with window level, stack, annotations/markup, and multi-touch support for phone, tablet, and desktop.

Note: If you have your own test images that you would like to upload into the application, contact to have a private user profile created.

HTML5/JavaScript Dental Web Viewer Framework

A zero-footprint dental viewer to display DICOM images with specialized features for dental that include Endo, Perio, Dentin, and FMX layouts. Additionally shows multi-touch support for phone, tablet, and desktop.

Screenshots of HTML5/JavaScript Image Annotation and Markup

HTML5 Annotations

HTML5 Annotations

LEADTOOLS SDK Products that Include HTML5/JavaScript Image Annotation and Markup

LEADTOOLS Document Imaging Suite v20

The LEADTOOLS Document Imaging Suite SDK is a comprehensive collection of LEADTOOLS SDK features designed to build end-to-end document imaging solutions that require OCR, MICR, OMR, ICR, barcode, forms recognition and processing, PDF, HTML5 Zero-footprint viewing, conversion, print, capture, archival, annotation, and image viewing functionality. This powerful set of tools utilizes LEAD's award-winning image processing technology to intelligently identify document features that can be used to recognize and extract data from any type of scanned or faxed form image.

LEADTOOLS Medical Imaging Suite v20

Develop powerful PACS and Medical imaging applications with LEADTOOLS Medical Imaging Suite. Features include LEAD's Zero-footprint HTML5 DICOM Viewer, Medical Web Viewer Framework, Medical 3D, DICOM Multimedia codecs, high and low-level PACS SCP and SCU functions and controls, secure PACS communication, Print to PACS, comprehensive DICOM data set support, image annotation, extended grayscale image display such as window level and LUT processing, DICOM Hanging Protocol, and specialized medical image processing. Other features include lossless JPEG compression, JPIP, and signed and unsigned image data processing.