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Image File Size Calculator

Table of contents

What is an image file?Understanding image file sizesHow to calculate image file size?Want to learn more?FAQs

This image file size calculator will help you estimate the file size of an uncompressed raster image file, provided that you know the image's resolution and its bit depth.

In this calculator, you'll learn what an image file is, what bit depth means, and the difference between a raster image and a vector image. We'll also show you how to calculate image file sizes yourself. Keep on reading to learn more.

What is an image file?

An image file is a digital representation of a picture, and we can display it on a screen like a computer monitor or a cell phone screen. Image files contain data about a picture's attributes, like the colors present in it, brightness and contrast intensities, and much more. This data are stored in what we call bits. You can learn more about bits and computer files in the "understanding computer file sizes" section of our download time calculator.

Image files can come in many different file formats that we can group into two categories: raster and vector images. A raster image file contains an array of pixels of various colors arranged in a grid to form a picture. Pixels are tiny dots that are pretty much similar to the small X stitches in a cross-stitch pattern, as shown in the comparison picture below.

An illustration showing a picture with inset picture of the pixels in it and a cross-stitch design with inset picture of its singular X stitches.

Pictures with more pixels tend to show more details and more quality, especially when trying to zoom in on that image. A raster image with a high pixel count, or resolution, lets us zoom in on the picture up a significant amount before we start to see the individual pixels that comprise it. (You might wanna take a look at our ppi calculator.)

On the other hand, vector images consist of attributes like curves, paths, shapes, line or stroke thicknesses, colors, etc., that are stored in formulas or equations. Unlike raster images that store data for each pixel in an image, vector images store data as a compilation of these equations representing each of the said attributes. You can think of it as a list of mathematical equations that we can graph on a cartesian plane. Displaying a vector image is like graphing these equations on a cartesian plane every time we open the image file. These "graphs" also refresh every time we scale or zoom a vector image, making us always see smooth lines and curves with consistent colors and details.

However, this image file size calculator can only determine the file sizes of raster images. Vector image attributes can vary an incredible amount, just like how you can express a mathematical graph with a variety of different mathematical equations. It's also worth noting that this image file size calculator only determines the file sizes of uncompressed images. However, you can even approximate a compressed image file size using this calculator if you know the image file's resulting bit depth.

Understanding image file sizes

Two parameters define a raster image's file size, and these are the number of pixels in the image and the bit depth of each pixel. To determine the file size of a raster image file, we have to multiply these variables together. Each pixel in a raster image typically takes up about 1 to 8 bits for black-and-white images and 8 to 64 bits for colored images. And the more pixels an image has, the more data it stores and the larger its file size.

We can determine the number of bits per pixel with what we call "bit depth." What bit depth indicates is the number of colors that we can show in the image file. The number of colors in a certain bit depth follows the binary system and is equal to 2 raised to the bit depth value. For example, a 1-bit image can only show black or white pixels as 1 bit can only store two values, a 1 or a 0 (21 = 2 values or colors). On the other hand, a 16-bit image can use a total of 216 or 65,536 colors to represent a picture. We can then say that the higher the image file's bit depth is, the better the quality of the image will be. To visualize this, let us consider a picture that has been "sampled" (or converted) to an image file with 24-bit, 8-bit, and 4-bit bit depths, respectively:

A side-by-side comparison of raster image at 24-bit, 8-bit, and 4-bit bit depths wherein the picture starts to get grainy at 8-bit bit depth, and much grainer and with less vibrance at 4-bit bit depth.

Sampling is obtaining information about a picture and trying to represent it closely in digital form in terms of pixels. We can also do it with sounds, wherein we record a variety of frequency and amplitude values to create a digital audio file. You can learn more about sampling through our audio file size calculator.

As you can see, the image that used a 24-bit bit depth is much more detailed than the 8-bit and 4-bit images. The 8-bit image starts to show imperfections in the least focused and least bright areas (also known as "noise"). These areas also become much more noisy and grainy in the 4-bit image.

How to calculate image file size?

Now that we know what bit depth is and how pixels matter in determining what an image file's size is, let us consider an example to understand how to calculate image file sizes. For our example, let us take an image with the dimensions of, say, 640 pixels (width) by 480 pixels (height) at 24-bit bit depth. To determine the pixel count of this image, we multiply the dimensions of the image in pixels. It's just like obtaining the area of a rectangle, but this time with pixels:

pixel count = width of image in pixels × height of image in pixels

pixel count = 640 pixels × 480 pixels

pixel count = 307,200 pixels

When talking about large numbers of pixels or resolutions, we can often see "MP," which stands for "megapixels." A megapixel is a unit equal to one million pixels. As for our calculated pixel count, we can also say that the image we are considering is approximately a 0.3-megapixel image. Continuing with our calculations, we can then determine the file size of our image as follows:

image file size = pixel count × bit depth

image file size = 307,200 pixels × 24 bits/pixel

image file size = 7,372,800 bits

image file size = 7,372,800 bits × (1 byte / 8 bits) × (1 kilobyte / 1000 bytes)

image file size = 921.6 kB (kilobytes)

Please note that our calculated image file size is just an estimate of the actual file size of the image file described. Computer files tend to have other data attached to them, including, but not limited to, the date the file was created, the name of the creator, and so on. But, for now, as an estimate of the image file size, we can say that it is around 921.6 kB. In our example above, we also used the SI decimal system to convert the data size, wherein 1000 bytes is equivalent to 1 kilobyte.

Want to learn more?

If you want to explore file sizes and the units used in digital files, you can check out our byte converter. There, you can input file sizes and see their value in other file size units – all at the same time.


How do I count pixels in an image?

To determine the pixel count of this image, you need to multiply the dimensions of the image in pixels. That is, apply the following formula:

pixel count = width of the image in pixels × height of the image in pixels

What is the pixel count of full HD?

Just over 2 million pixels. You can count this as follows:

  1. Full HD is a resolution of 1,920 by 1,080 pixels.
  2. Multiply the width of the image by its height (both in pixels) to get the pixel count.
  3. Hence, pixel count = 1,920 × 1,080 pixels.
  4. The precise answer is pixel count = 2,073,600 pixels.

How do I reduce image file size?

Compress the image: if you choose a reasonable compression rate, the result will be indistinguishable from the original file, while its size will be significantly reduced.

You can also resize the image, i.e., decrease its height and width. Modern cameras have much more pixels than your screen, so the image is scaled down for display

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