Simplify Process of Reading and Converting HEIC Images Using Java API

How to Get Started with Openize.HEIC for Java

Getting started with Openize.HEIC is quick and easy. Simply follow these steps:

• Install Openize.HEIC: Install the Openize.HEIC package via Maven/Gradle.
• Integrate with Your Project: Reference the Openize.HEIC library in your Java project.
• Start Converting: Utilize the simple API provided by Openize.HEIC to convert HEIC files to your desired format.

The recommended way to install Openize.HEIC for Java is using Maven/Gradle. Please use the following command for a smooth installation.

<repositories>
    <repository>
        <id>AsposeJavaRepo</id>
        <name>Aspose Java Repository</name>
        <url>https://releases.aspose.com/java/repo/</url>
    </repository>
</repositories>

<dependencies>
    <dependency>
        <groupId>openize</groupId>
        <artifactId>openize-heic</artifactId>
        <version>25.4</version>
    </dependency>

    
    <dependency>
        <groupId>openize</groupId>
        <artifactId>openize-heic</artifactId>
        <version>25.4</version>
        <classifier>javadoc</classifier>
    </dependency>
</dependencies>

Read HEIC File into Array in Java

This code snippet efficiently loads a HEIC image file, extracts its pixel data in the specified format, and stores it in an array for subsequent operations.

• Open the HEIC file named "filename.heic" using IOFileStream.
• Load the HEIC image from the file stream into a HeicImage object.
• Extract pixel data from the HEIC image in the ARGB32 format and store it in an integer array.

Copy and paste the code snippet below into your main file and execute the program.

 
try (IOFileStream fs = new IOFileStream("filename.heic", IOMode.READ))
{
    HeicImage image = HeicImage.load(fs);
    int[] pixels = image.getInt32Array(openize.heic.decoder.PixelFormat.Argb32);
}

Read HEIC file into BufferedImage in Java and save it to JPEG using Java ImageIO

The following code illustrates how to read an existing HEIC image file, extract its pixel data, and create a BufferedImage object for further processing and saving to JPEG:

• Open the HEIC file named "filename.heic" using IOFileStream.
• Load the HEIC image from the file stream into a HeicImage object.
• Extract pixel data from the HEIC image in the ARGB32 format and store it in an array.
• Get the width and height of the HEIC image.
• Create a BufferedImage object with the specified width, height, and pixel format.
• Write the extracted pixel data to the BufferedImage object.
• Save the BufferedImage object into a JPEG file.

Copy and paste the code snippet below into your main file and execute the program.

 
try (IOFileStream fs = new IOFileStream("filename.heic", IOMode.READ))
{
    HeicImage image = HeicImage.load(fs);
     
    int[] pixels = frames.get(key).getInt32Array(PixelFormat.Argb32);
    var width = (int)image.Width;
    var height = (int)image.Height;
    
    BufferedImage image2 = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);
    image2.setRGB(0, 0, width, height, pixels, 0, width);
    ImageIO.write(image2, "JPEG", new File("output.jpg"));
}

Read HEIC file into BufferedImage in Java and save it to PNG using Java ImageIO

The following code illustrates how to read an existing HEIC image file, extract its pixel data, and create a BufferedImage object for further processing and saving to PNG:

• Open the HEIC file named "filename.heic" using IOFileStream.
• Load the HEIC image from the file stream into a HeicImage object.
• Extract pixel data from the HEIC image in the ARGB32 format and store it in an array.
• Get the width and height of the HEIC image.
• Create a BufferedImage object with the specified width, height, and pixel format.
• Write the extracted pixel data to the BufferedImage object.
• Save the BufferedImage object into a PNG file.

Copy and paste the code snippet below into your main file and execute the program.

 
try (IOFileStream fs = new IOFileStream("filename.heic", IOMode.READ))
{
    HeicImage image = HeicImage.load(fs);
     
    int[] pixels = frames.get(key).getInt32Array(PixelFormat.Argb32);
    var width = (int)image.Width;
    var height = (int)image.Height;
    
    BufferedImage image2 = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);
    image2.setRGB(0, 0, width, height, pixels, 0, width);
    ImageIO.write(image2, "PNG", new File("output.png"));
}

Convert HEIC collection to a set of PNG files programatically in Java

The provided code demonstrates how to programmatically load a HEIC collection image file, convert it to a set of PNG files, and save it using Java. Here's a breakdown of the steps:

• Open the HEIC file named "filename.heic" in read mode using FileStream.
• Load the HEIC image from the file stream into a HeicImage object.
• For each frame of the image do the following:
  
  • Retrieve the width and height of the HEIC frame.
  • Extract the pixel data from the HEIC frame in the ARGB32 format, storing it in an int array.
  • Create a BufferedImage object with the specified width, height, DPI, pixel format.
  • Write the extracted pixel data to the BufferedImage object.
  • Save the BufferedImage object into "output.png" file.

Copy and paste the code snippet below into your main file and execute the program.

 
try (IOFileStream fs = new IOFileStream("filename.heic", IOMode.READ))
{
    HeicImage image = HeicImage.load(fs);

    final Map frames = image.getFrames();
    for (Long key : frames.keySet())
    {
        int width = (int)frames.get(key).getWidth();
        int height = (int)frames.get(key).getHeight();
        int[] pixels = frames.get(key).getInt32Array(PixelFormat.Argb32);

        BufferedImage image2 = new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);
        image2.setRGB(0, 0, width, height, pixels, 0, width);
        ImageIO.write(image2, "PNG", new File("output"+key+".png"));
    }
}

Openize.HEIC offers an intuitive API, comprehensive format support, and seamless integration with Java applications, empowering developers and users alike to effortlessly manage HEIC files. Whether you're converting HEIC files for web usage, archiving iPhone photos to a PC, or sharing them across different platforms, Openize.HEIC simplifies the process, ensuring optimal efficiency and quality at every step.

Explore our GitHub repository to contribute, suggest improvements, and enhance this Open Source API: Openize.HEIC for Java