.NET eSignatures API to remove barcode, text, image, QR-code or digital signatures from JPEG files in any type of C# .NET, Mono or Xamarin applications. Using advance .NET digital signature library – delete electronic signatures from already signed PDF, Microsoft Word documents, Excel worksheets, PowerPoint slides and a wide range of image file formats without using any external software or tool.
DownloadSearch and remove all or certain types of e-signatures from digitally secured and signed JPEG files at once using Conholdate.Total for .NET APIs.
Deleting signatures from digitally signed documents requires GroupDocs.Signature namespace. Proceed to download the respective files or fetch the whole package directly from NuGet.
Remove any type of Barcode, Text, Image, or QR Code signatures from documents using operating systems such as Windows, Linux or macOS while working on Windows Azure, Mono and Xamarin platforms.
The .NET signature API supports manipulating and removing barcode and QR-Code signatures from JPEG documents in .NET applications using a few lines of C# code. Remove one or several digital signatures of different types from signed documents at the same time.
The documents information extraction API not only allows getting the basic information about the source document file (JPEG) but it also supports extracting some valuable document information such as file type, size, number of pages, height and width using stream or a file stored on local disk.
The .NET document signature library offers a set of useful features to cancel digital signature processes (sign, verify, search) at any stage using a few simple steps.
Deleting text or image signatures from digitally signed JPEG files in C# .NET is easier with Conholdate.Total for .NET APIs. Sign digital documents with custom signatures using different colors, font, padding and styling options.
The document eSign API enables you to render remotely located documents from various cloud document storage sources such as stream, local disk, URL, FTP, Amazon S3, and Azure Blob storage. The document preview feature enables you to get the image representation of the document pages that can be useful to preview and adjust the position of digital signature inside the document.
Get the document preview of whole document or some specific page numbers in PNG, JPG or BMP image formats.
JPEG, short for Joint Photographic Experts Group, represents a lossy compression algorithm meticulously crafted to minimize the storage size of digital images. Renowned for its widespread usage in still images and graphics, it holds a prominent position on the web and in digital cameras. Operating on the principle of content analysis, JPEG meticulously measures and evaluates the image’s content before proceeding to compress it, thereby reducing the overall file size. The level of compression can be adjusted to cater to the desired image quality. While JPEG compression typically yields images with lower quality, it achieves remarkably small file sizes, rendering it perfect for online photo sharing.
JPEG’s exceptional popularity is primarily attributed to its ability to strike a balance between image quality and file size. By employing lossy compression techniques, JPEG effectively eliminates certain visual information that may not be noticeable to the human eye. This selective discarding of data ensures substantial reduction in file size while preserving the overall visual integrity to an acceptable level. Consequently, JPEG files are compact and highly efficient in terms of storage and transmission, making them ideal for web-based applications where bandwidth and storage limitations are prevalent.
The adjustable nature of JPEG compression further enhances its versatility. Users have the flexibility to determine the trade-off between file size and image quality by adjusting the compression settings. In scenarios where high image fidelity is of paramount importance, a lower compression level can be selected to preserve intricate details and minimize visual artifacts. Conversely, when the emphasis is on minimizing file size without significant loss in perceived quality, a higher compression level can be applied. This adaptability allows users to tailor the JPEG compression to their specific requirements, ensuring an optimal balance between file size and image quality.
It is noteworthy that while JPEG excels in the realm of digital image compression, it may not be the most suitable choice for all scenarios. Due to its lossy nature, repeatedly compressing and decompressing JPEG files can result in a cumulative loss of image quality. Therefore, it is advisable to exercise caution and refrain from excessive re-compression if preserving the highest possible image fidelity is paramount.
Learn(Portable Document Format)
(Word Processing Files)
(Spreadsheet Files)
(Digital Image Files)
(Microsoft Word Binary Format)
(Office 2007+ Word Document)
(Microsoft Word 2007 Marco File)
(Microsoft Word Template Files)
(Microsoft Word Template File )
(Microsoft Word 2007+ Template File)
(Microsoft Excel Spreadsheet (Legacy))
(Open XML Workbook)
(Excel Binary Workbook)
(Macro-enabled Spreadsheet)
(Excel 97 - 2003 Template)
(Excel Macro-Enabled Template)
(Excel Template)
(Microsoft PowerPoint 97-2003)
(Open XML presentation Format)
(PowerPoint Slide Show)
(PowerPoint Slide Show)
(Bitmap Image File)
(Graphical Interchange Format)
(Joint Photographic Expert Group Image)
(Portable Network Graphic)
(Microsoft PowerPoint Template File)
(Microsoft PowerPoint Template Presentation)
(Macro-enabled Presentation File)
(Macro-enabled Slide Show)
(Joint Photographic Expert Group Image)
(Tagged Image File Format)
(Raster Web Image Format)
(Photoshop Document)
(Scalar Vector Graphics)
(Windows Metafile)
(CorelDraw® Graphics Format)
(Corel Metafile Exchange Image)
(Graphics File Format)
(OpenDocument Presentation Format)
(OpenDocument Standard Format)
(OpenDocument Spreadsheet Template)
(OpenDocument Spreadsheet)
(OpenDocument Standard Format)
(OpenDocument Text File Format)