Upload two images, compare them pixel by pixel, and see the differences instantly.
First image
Second image
Small differences in images can be hard to see. With our web-based tool, finding these differences is simple. We use an image-processing library that provides powerful features for image comparison.
This way, you can easily spot the differences between the two images. Compare the original file and the converted one to learn more about the conversion quality.
To show how the Compare Images tool works, we prepared two example images: the original image and a modified version where some objects are missing or have different colors. Can you spot the differences between them?
Image source: pikisuperstar from Freepik.
Our image comparison tool quickly analyzes and compares the images, highlighting the differences in bright red. You can also change the highlight color to suit your preferences.
After the comparison, a diff image is generated that shows exactly where the differences are between the two uploaded images. This is especially useful for comparing the quality of two images, as the tool can detect even small variations in resolution, color, or compression.
For best results, prepare the images by making sure they have the same size and resolution. The tool also supports many file types (bmp, gif, ico, jpeg, png, tga, tiff, etc.), so you can compare images in the format that works best for you.
With the Compare Images online tool, you can quickly see how much detail is lost in the compressed version of your image and spot any compression artifacts that may appear.
In the following example, we compared an original JPG with a compressed version created by setting the quality to 30%. We set the threshold to 10 (1-100).
The compression artifacts mostly affect object boundaries in the image.
The information below the generated diff image shows the method used for the comparison (in this case, Mean Absolute Error), the absolute error count for each color channel (Blue, Green, and Red), and the total error count for all channels combined (All). It also shows the percentage of pixels that are different between the two images.
The error count indicates how many pixels are different between the original JPG and the compressed JPG. A higher error count means more pixels have changed between the two images, which usually means lower compression quality, and vice versa.
The absolute error count for all channels is 8,809, which corresponds to a difference of 2.07% compared to the total pixel count of 426,400 (Total Pixels = Height x Width). This means the compression had a relatively small impact on the overall image quality.
From this table, we can see that the compressed image is 24.24 KB in size and the original image is 48.90 KB. Both images have the same height and width (533px x 800px).
Upload the two images you want to compare. You can drag and drop files, enter a URL, or choose from cloud storage.
Select the comparison method, then set the threshold and highlight color.
Click the "Start" button to begin the comparison.
View the diff image with all differences between the two images highlighted.
Quick and easy image comparison: A step-by-step guide
Read article
Learn how to use the Img2Go AI Art Generator with this short guide.
Read article
Master image resizing with Img2Go: quick adjustments, optimal quality.
Read article
