Seamless Digital Experience.
Happy Customers.

Digital Experience and Error Monitoring Platform - Zipy

Mastering Java Android OutOfMemoryError: A Comprehensive Guide to Fixing Memory Issues in Your App

Bhargava MNN
~ 3 min read | Published on Feb 28, 2024


Fix bugs faster with Zipy!

  • Session replay
  • Network calls
  • Console Logs
  • Stack traces
  • User identification
Get Started for Free


In the dynamic world of mobile application development, encountering an OutOfMemoryError in Java Android can be a daunting challenge, even for the most seasoned developers. This blog post aims to demystify the OutOfMemoryError, providing practical advice, code examples, and solutions to help you navigate through this common issue. Whether you're a beginner or an experienced developer, you'll find valuable insights to enhance your debugging skills and ensure your Android applications run smoothly.

Catch errors proactively with Zipy. Sign up for free!

Try Zipy now

Understanding OutOfMemoryError in Java Android

The OutOfMemoryError in Java Android occurs when the app attempts to allocate memory beyond the amount available to it. This can lead to application crashes, poor performance, and a negative user experience. Understanding the root causes and learning how to efficiently debug and handle these errors is crucial for any mobile app developer.

Scenario 1

Error code

Bitmap bitmap = BitmapFactory.decodeResource(getResources(), R.drawable.large_image);

Corrected code

// Reduced image size to avoid OutOfMemoryError
BitmapFactory.Options options = new BitmapFactory.Options();
options.inSampleSize = 4; // Reduce the image size
Bitmap bitmap = BitmapFactory.decodeResource(getResources(), R.drawable.large_image, options);

Solution Summary

In this scenario, loading a large image without considering the memory limitations of the device caused an OutOfMemoryError. By introducing an Options object and setting the inSampleSize to a higher value, the image size is effectively reduced, mitigating the risk of running out of memory.

Scenario 2

Error code

ArrayList<Bitmap> images = new ArrayList<>();
for (int i = 0; i < 1000; i++) {
    images.add(BitmapFactory.decodeResource(getResources(), R.drawable.an_image));

Corrected code

ArrayList<Bitmap> images = new ArrayList<>();
BitmapFactory.Options options = new BitmapFactory.Options();
options.inSampleSize = 2; // Reduce the image size to avoid OutOfMemoryError
for (int i = 0; i < 1000; i++) {
    images.add(BitmapFactory.decodeResource(getResources(), R.drawable.an_image, options));

Solution Summary

Creating an array list of bitmaps without resizing or efficient memory management quickly leads to an OutOfMemoryError. Applying a reduced sample size for each bitmap via BitmapFactory.Options helps in managing the memory footprint effectively.

Scenario 3

Error code

String largeString = new String(new char[10000000]);

Corrected code

// Initialize string more efficiently to avoid OutOfMemoryError
String largeString = "";
for (int i = 0; i < 1000; i++) {
    largeString += "Some smaller string";

Solution Summary

Allocating a very large string without considering the memory constraints can result in an OutOfMemoryError. By building the string in a more memory-efficient manner, such as appending smaller strings, the memory usage is significantly reduced.

Handling OutOfMemoryError in Java Android

To effectively handle OutOfMemoryError in Java Android, developers should focus on efficient memory management, use profiling tools to identify memory leaks, and apply best practices for resource allocation and release. Proactively managing resources, optimizing image and data handling, and understanding the application's memory requirements are key strategies to prevent these errors.

Proactive Error Debugging with Zipy

For developers looking to streamline their debugging process, Zipy offers an innovative solution. With its proactive error monitoring and user session replay capabilities, Zipy empowers developers to quickly identify and resolve runtime Java Android errors. Learn more about how Zipy can enhance your debugging workflow by visiting Zipy's website.

Debug and fix code errors with Zipy Error Monitoring.

Sign up for free


Understanding and resolving OutOfMemoryError in Java Android is crucial for developing robust and efficient applications. By following the guidelines and solutions presented in this article, developers can significantly reduce the occurrence of these errors. Remember, efficient memory management and proactive debugging are your best tools in ensuring your applications run smoothly.

Resources on how to debug and fix Java Android errors

Frequently Asked Questions

How can I detect memory leaks in my Android application?

Use the Android Profiler in Android Studio to monitor your application's memory usage in real time. Look for unusual patterns or continuous increase in memory consumption, which could indicate a leak.

What is the role of theinSampleSize attribute in handling images?

The inSampleSize attribute allows you to scale down your images when loading them into memory, significantly reducing the memory usage and mitigating the risk of OutOfMemoryError.

Why is it important to recycle bitmaps in Android?

Recycling bitmaps explicitly frees up the memory they occupy, making it available for other processes or applications, thus helping in preventing OutOfMemoryError.

Can using smaller data types in arrays help preventOutOfMemoryError?

Yes, opting for smaller data types (e.g., byte or short instead of int) in large arrays can reduce the memory footprint of your application.

What is a common misconception aboutOutOfMemoryError in Android?

A common misconception is that OutOfMemoryError only occurs with improper handling of large files or images. However, it can also result from cumulative small memory leaks over time.

Key takeaways

  • Efficiently managing and scaling down images is crucial to prevent OutOfMemoryError.
  • Proactively monitoring memory usage and identifying leaks can save your application from unexpected crashes.
  • Implementing best practices in memory management, such as recycling objects and using memory-efficient data structures, is key to maintaining optimal performance.
  • Tools like Zipy offer valuable assistance in debugging and resolving runtime errors, enhancing the overall development process.

Call to Action

Feel free to comment or write to us in case you have any further questions at We would be happy to help you. In case you want to explore for your app, you can sign up or book a demo.

Fix bugs faster with Zipy!

Get Started for Free
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Want to solve customer bugs even before they're reported?

The unified digital experience platform to drive growth with Product Analytics, Error Tracking, and Session Replay in one.

SOC 2 Type 2
Zipy is GDPR and SOC2 Type II Compliant
© 2023 Zipy Inc. | All rights reserved
by folks just like you
// open links in new tab script