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Category Archive: GroupDocs.Metadata Product Family
Official blog with announcements of latest supported features, hot fixes, technical articles, tips and videos of GroupDocs.Metadata – A .NET and Java API to manipulate documents metadata.
Read MP3 Tags in Java – (ID3, Lyrics, APE)
Metadata variants are attached with documents of different file formats. MP3 files commonly contain ID3 metadata tags. This article discusses how to read different MP3 tags in Java. One by one, we will see how to extract ID3 (IDEv1, ID3v2), Lyrics, and APEv2 metadata tags from the mp3 files using Java Metadata API.
Posted in GroupDocs.Metadata Product Family | Tagged read ID3 tags, read mp3 lyrics, Read MP3 tags, Read MP3 Tags in Java
Remove MP3 Tags in Java
When the metadata is not really required, you can eliminate it. In this article, we will learn how to programmatically remove different MP3 tags in Java. Precisely, we will see the removal of ID3v1, ID3v2, Lyrics, and APEv2 metadata tags from mp3 files within the Java application.
The following topics are covered below:
- Java API for MP3 tags
- Remove MP3 ID3 Tags - ID3, Lyrics, APE
- Java Code - Remove MP3 Metadata Example
Read MP3 Tags using C# – (ID3, Lyrics, APE)
There are different metadata standards that are used with MP3 files. Various types of data can be stored using different standards. In this article, we will discuss how to read different MP3 tags using C#. Specifically, we will learn to extract ID3v1, ID3v2, Lyrics, and APEv2 metadata tags from the mp3 files within the .NET application.
The following topics are covered in this article:
- .NET API to Manage MP3 tags
- Read MP3 ID3 Tags - ID3v1 & ID3v2
- Get MP3 Lyrics Tags
- Retrieve MP3 APEv2 Tags
Posted in GroupDocs.Metadata Product Family | Tagged read ID3 tags, read mp3 lyrics, Read MP3 tags, Read MP3 Tags CSharp
Remove MP3 Tags using C#
MP3 files could contain metadata of various standards. Sometimes you do not require certain metadata information. We can quickly remove these metadata MP3 tags programmatically. In this article, we will discuss how to remove different MP3 tags using C#. Precisely, we will learn to remove ID3v1, ID3v2, Lyrics, and APEv2 metadata tags from the mp3 files within the .NET application.
The following topics are covered in this article:
- .NET API to Remove MP3 tags
- Remove MP3 ID3 Tags - ID3, Lyrics, APE
- C# Code Example
Manage XMP and EXIF Data of HEIF/HEIC Images using C#
HEIC (High-Efficiency Image Container) is a container that can contain High-Efficiency Image Format HEIF images. XMP is an XML-based metadata standard, that can store metadata properties as name/value pairs. However, EXIF (Exchangeable Image File Format) is the standard and defines how to store metadata properties in the most common images and audio formats. In this article, we will learn how to extract, update, and remove the XMP and EXIP metadata of the HEIF/HEIC images using C# within .NET applications.
The following topics are covered in this article:
- .NET API for EXIF, XMP Metadata
- Read EXIF Data of HEIC/HEIF Images
- Read XMP data of HEIC/HEIF Images
Manage XMP and EXIF Data of HEIF/HEIC Images using Java
HEIC stands for High-Efficiency Image Container. It is the file extension for the captured images for some of the apple devices. It is a container that can contain High-Efficiency Image Format HEIF images. In this article, we will discuss how to extract, update, and remove the EXIF and XMP metadata of the HEIF/HEIC images within Java applications.
The following topics are covered in this article:
- Metadata Java API for EXIF, XMP data
- Read EXIF Data of HEIC/HEIF Images
- Read XMP data of HEIC/HEIF Images
Extract RIFF INFO and Metadata of WAV files in Java
RIFF file container format used to store audio and video multimedia. This data stored in chunks can include lots of information such as the creation date, copyright information, artists, comments, etc. You can programmatically manipulate the metadata as well as RIFF INFO. This article guides developers to programmatically extract metadata and RIFF INFO from the WAV audio files in Java.
The following topics are covered in the article in brief:
- Java API for Metadata Management
- Extract Metadata of WAV Files in Java
- Extract RIFF INFO of WAV Files in Java
Extract RIFF INFO and Metadata of WAV files in C#
RIFF (Resource Interchange File Format) is a file container format for storing data as tagged chunks. It is mainly used to store multimedia like video and audio. The chunk may include information such as the artist, the creation date, and copyright information, etc. This article will be guiding developers to extract metadata and RIFF INFO from the WAV audio files in C#.
The following topics will be covered in the article in brief:
- .NET API for Managing Metadata
- Extract Metadata of WAV Files in C#
- Extract RIFF INFO of WAV Files in C#
Metadata Remover for Documents and Images using C#
Today we are about to learn some ways to programmatically remove or entirely clean metadata of documents as well as images using C#. In an earlier post, we discussed removing the selective as well as all the available metadata properties from documents and images using Java. It is sometimes important to hide personal information from the receiver, that is attached to the document. Following are the topics that will help you clean your files from metadata using C#.
Metadata Cleaner for Documents and Images using Java
Metadata is the data that provides information about the actual data. It is commonly described as "data about data". When sending a file to someone, it is not a good practice to send metadata along. It can reveal your information to the receiver that you may not want to share. Some of the examples include; Name, Company Name, Document Modification Date, Make and Model of Camera, etc. In this article, we will be programmatically removing metadata from the images and documents using Java.
After reading this article, you can build your own metadata cleaner java application. It can support adding, modifying, extraction, and removing metadata from a large list of supported formats of word-processing documents, spreadsheets, presentations, PDF files, images, emails, eBooks, drawings, zip files, etc.