Convert Image to Base64 using Java

You can convert your images into Base64 using Java and then later use them in your HTML

Language Used:
Java

Git Repo:
https://github.com/csanuragjain/extra/tree/master/ImageToBase64

Pom Dependency:

 <dependency>  
   <groupId>commons-codec</groupId>  
   <artifactId>commons-codec</artifactId>  
   <version>1.10</version>  
 </dependency>  
 <dependency>  
   <groupId>org.apache.commons</groupId>  
   <artifactId>commons-io</artifactId>  
   <version>1.3.2</version>  
 </dependency>  

Program:

Main Method:

      public static void main(String[] args) throws IOException {  
           // TODO Auto-generated method stub  
           Scanner s=new Scanner(System.in);  
           System.out.println("Enter image path to be converted to base64 (eg. c:\\abc.jpg)");  
           String imgPath=s.nextLine();  
           File imgFile=new File(imgPath);  
           String base64Val=convertTobase64(imgFile);  
           System.out.println("Converted value ");  
           System.out.println(base64Val);  
      }  

How it works:
1) We make a scanner object
2) We take the image path from user
3) We make a file object pointing to the image path given by user
4) We call convertTobase64 which returns the base64 encoded valie
5) We print the base64 value to the user.

convertTobase64 Method:

      public static String convertTobase64(File imgFile) throws IOException  
      {  
           return Base64.encodeBase64String(FileUtils.readFileToByteArray(imgFile));  
      }  

How it works:
1) FileUtils.readFileToByteArray converts the File object passed by main method into byte array
2) Base64.encodeBase64String converts the byte array to base64 value

Sample Output:

 Enter image path to be converted to base64 (eg. c:\abc.jpg)  
 C:\Users\anjain\Desktop\images\2.png  
 Converted value   
 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  

Full Program:

 package com.cooltrickshome;  
 import java.io.File;  
 import java.io.IOException;  
 import java.util.Scanner;  
 import org.apache.commons.codec.binary.Base64;  
 import org.apache.commons.io.FileUtils;  
 public class ImageToBase64 {  
      /**  
       * @param args  
       * @throws IOException   
       */  
      public static void main(String[] args) throws IOException {  
           // TODO Auto-generated method stub  
           Scanner s=new Scanner(System.in);  
           System.out.println("Enter image path to be converted to base64 (eg. c:\\abc.jpg)");  
           String imgPath=s.nextLine();  
           File imgFile=new File(imgPath);  
           String base64Val=convertTobase64(imgFile);  
           System.out.println("Converted value ");  
           System.out.println(base64Val);  
      }  
      public static String convertTobase64(File imgFile) throws IOException  
      {  
           return Base64.encodeBase64String(FileUtils.readFileToByteArray(imgFile));  
      }  
 }  

Hope it helps :)