Pixel Density Calculator
Calculate the pixel density (PPI — pixels per inch) of any screen or the print DPI of any image. Enter the pixel dimensions and the physical size (screen diagonal or print dimensions) to get instant results. Useful for photographers, designers, and developers who need to understand image resolution and whether an image has enough pixels for a given use case.
How to Use Pixel Density Calculator
- 1
Choose calculation mode
Select Screen PPI to calculate the pixel density of a display, or Print DPI to calculate what DPI an image produces at a given print size.
- 2
Enter pixel dimensions
Type the width and height of the image or screen in pixels. For screen PPI, use the native resolution of the display (e.g. 2560×1600 for a MacBook Pro).
- 3
Enter physical size
For screen PPI, enter the screen diagonal size in inches. For print DPI, enter the width or height of the intended print in inches.
- 4
View results
The calculator instantly shows the PPI or DPI, the total megapixel count, and a quality rating (Low / OK / Good / Excellent) for the intended use.
When to Use This Tool
Quick Reference
About Pixel Density Calculator
The Pixel Density Calculator computes the pixels-per-inch (PPI) or dots-per-inch (DPI) of a screen or image given its resolution and physical size. PPI determines how sharp and detailed images appear on a display — the higher the PPI, the more detail visible at a given viewing distance. This calculator is essential for comparing displays, determining print requirements, and understanding whether an image has sufficient resolution for a specific use case.
Pixel density calculation is needed for:
- Comparing the sharpness of two monitors or phone screens before purchasing
- Determining if a photo has sufficient resolution for a specific print size at 300 DPI
- Understanding why an image looks sharp on one screen but blurry on another
- Calculating the physical display dimensions from resolution and PPI specifications
- Verifying that a web image is optimized for retina displays (requires 2× the display PPI)
PPI is calculated using the formula: PPI = √(width² + height²) ÷ diagonal_inches, where width and height are the horizontal and vertical pixel counts and diagonal_inches is the screen diagonal in inches. This formula derives from the Pythagorean theorem — the diagonal pixel count divided by the physical diagonal gives pixels per inch. For images, DPI is simply the stored metadata value (modifiable but independent of pixel count). The calculator shows both the mathematical PPI and compares it to common display categories: SD (under 100 PPI), HD (100–200 PPI), Retina/HiDPI (200–400 PPI), and Super Retina (400+ PPI).
Input modes: Screen mode (enter resolution + diagonal size in inches/cm), Image mode (upload image to auto-read dimensions), Print mode (enter pixel dimensions + target print size to calculate required DPI). Output: PPI/DPI value, display quality rating, angular resolution (arc minutes per pixel at typical viewing distance), and print size recommendations.
All calculations are performed mathematically in your browser — no server needed. For related work, use the DPI Converter to change the DPI metadata stored in an image file, or the Image Size Checker to read the current dimensions and DPI of an image file.
Pro Tips for Pixel Density Calculator
For print work, use the Print mode to quickly verify resolution sufficiency — enter your image dimensions and target print size to see if you have 300 DPI or need to upscale.
When buying a monitor, PPI matters more than raw resolution — a 4K 32-inch monitor (138 PPI) looks less sharp than a 4K 24-inch monitor (184 PPI) despite having the same pixel count.
For web design targeting retina displays, multiply your CSS image size by 2 for the actual pixel dimensions needed — a 300×200 CSS image needs a 600×400px actual image file.
The angular resolution column (arc-minutes per pixel) tells you the viewing distance at which the display becomes "retina" — below 1 arc-minute, the eye cannot resolve individual pixels.
Frequently Asked Questions
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