Add up to 10 multiple image files (Size Limit: 2MB per file | Supported Formats: JPEG & PNG)
About Image Optimizer
Have you ever tried to upload an image to a website only to be told that the image size is too large?
What about trying to save an image file but realizing that the size will eventually take up too much space?
In both cases, "Image Optimizer" is the solution.
What Is Image Optimizer?
Photo Compressor is a technical process to reduce the file size of an image document [withoutcompromising on its quality]. This allows the digital image to retain its appearance and body image, but to a much smaller size so as to fill a small space and be acceptable when uploading to the appropriate sites.
Reducing file size allows you to save the image economically and slowly, as the memory space we will be occupying now will be greatly reduced while the time and bandwidth required for uploading and downloading the image will also be at a very low level barest.
Usually, this is done with a simple technical procedure using a “compression tool.”
While there are plenty of such tools online, finding one that is reliable and can provide a good clean job can be a challenge.
But not anymore. Under your nose, you now have what we might officially call “the simplest, highest quality” on the internet.
How Does Image Optimizer Tool work?
The online Image Compressor tool is simple and easy to use. In fact, it is designed to require minimal user input while delivering surprisingly important results.
Step 1: Drag and drop your image file or click the upload button to upload the file.
Step 2: Image Compressor will compress your file while maintaining image quality
As mentioned earlier, you can upload up to 10 images at a time, but the image size should not exceed 2MB per image.
Next, upload your photo or photos. You can do this by clicking on "Upload" and selecting the photos you want on your computer. You can also upload photos.
Once you have selected an image, the tool will automatically compress the image without the need for additional input from you.
In this way, the number of colors is reduced by selecting the image data, leaving your images of the same quality and resolution as before. As a result, fewer bytes are needed to store or send data properly.