Image.crop() method Python PIL (original) (raw)

Last Updated : 21 Jan, 2026

Image.crop() method in PIL (Python Imaging Library) is used to extract a specific rectangular region from an image. It takes a box defined by four coordinates left, upper, right and lower and returns only that selected area as a new image. Example: This example shows how to open an image and crop a rectangular portion using the coordinates (left, top, right, bottom).

**Image used:

logo.png

Python `

from PIL import Image

img = Image.open("logo.png") res = img.crop((50, 50, 200, 200)) res.show()

`

**Output

Cropped Image

**Explanation: img.crop((50, 50, 200, 200)) extracts the area from x=50 to 200 and y=50 to 200.

Syntax

Image.crop(box=None)

**Parameters: box - A 4-tuple defining the crop area -> (left, upper, right, lower)

**Return Value: Returns a new Image object containing only the cropped region.

**Example 1: This example crops the central portion of the image using manually defined coordinates that cut from each side.

**Image used:

eyes.jpg

Python `

from PIL import Image

img = Image.open("eyes.jpg") w, h = img.size res = img.crop((20, h//4, w-20, 3*h//4)) res.show()

`

**Output

Cropped image displayed

**Explanation: img.crop((20, h//4, w-20, 3*h//4)) selects the middle horizontal strip of the image.

**Example 2: This example extracts a smaller object located in the top-right part of the image.

**Image Used:

bear.png

Python `

from PIL import Image

img = Image.open("bear.png") res = img.crop((150, 40, 320, 200)) res.show()

`

**Output

Cropped image displayed

**Explanation: coordinates (150, 40, 320, 200) target a specific rectangle in the upper-right corner.