
- Python Pillow - Home
- Python Pillow - Overview
- Python Pillow - Environment Setup
- Basic Image Operations
- Python Pillow - Working with Images
- Python Pillow - Resizing an Image
- Python Pillow - Flip and Rotate Images
- Python Pillow - Cropping an Image
- Python Pillow - Adding Borders to Images
- Python Pillow - Identifying Image Files
- Python Pillow - Merging Images
- Python Pillow - Cutting and Pasting Images
- Python Pillow - Rolling an Image
- Python Pillow - Writing text on image
- Python Pillow - ImageDraw Module
- Python Pillow - Concatenating two Images
- Python Pillow - Creating Thumbnails
- Python Pillow - Creating a Watermark
- Python Pillow - Image Sequences
- Python Pillow Color Conversions
- Python Pillow - Colors on an Image
- Python Pillow - Creating Images With Colors
- Python Pillow - Converting Color String to RGB Color Values
- Python Pillow - Converting Color String to Grayscale Values
- Python Pillow - Change the Color by Changing the Pixel Values
- Image Manipulation
- Python Pillow - Reducing Noise
- Python Pillow - Changing Image Modes
- Python Pillow - Compositing Images
- Python Pillow - Working with Alpha Channels
- Python Pillow - Applying Perspective Transforms
- Image Filtering
- Python Pillow - Adding Filters to an Image
- Python Pillow - Convolution Filters
- Python Pillow - Blur an Image
- Python Pillow - Edge Detection
- Python Pillow - Embossing Images
- Python Pillow - Enhancing Edges
- Python Pillow - Unsharp Mask Filter
- Image Enhancement and Correction
- Python Pillow - Enhancing Contrast
- Python Pillow - Enhancing Sharpness
- Python Pillow - Enhancing Color
- Python Pillow - Correcting Color Balance
- Python Pillow - Removing Noise
- Image Analysis
- Python Pillow - Extracting Image Metadata
- Python Pillow - Identifying Colors
- Advanced Topics
- Python Pillow - Creating Animated GIFs
- Python Pillow - Batch Processing Images
- Python Pillow - Converting Image File Formats
- Python Pillow - Adding Padding to an Image
- Python Pillow - Color Inversion
- Python Pillow - M L with Numpy
- Python Pillow with Tkinter BitmapImage and PhotoImage objects
- Image Module
- Python Pillow - Image Blending
- Python Pillow Useful Resources
- Python Pillow - Quick Guide
- Python Pillow - Function Reference
- Python Pillow - Useful Resources
- Python Pillow - Discussion
Python Pillow - Identifying Image Files
Identifying image files using the Python Pillow (PIL) library involves checking file extensions to determine if a file is likely an image or not. While Pillow itself doesn't have a built-in method to identify image files and we can use functions of os module such as listdir(), path.splitext(), path.is_image_file(), path.join() to filter files based on their extensions as per our user requirements.
Python's os.path module does not provide a direct is_image_file() function for identifying image files. Instead we can typically use the Pillow library (PIL) to check if a file is an image.
However we can create a custom is_image_file() function using os.path in combination with Pillow to check if a file appears to be an image based on its extension.
Here's an example of how we can use os.path to check file extensions and determine if a file is likely an image file −
We define the is_image_file() function which first checks if the file's extension appears to be a common image format (defined in 'image_extensions'). If the file extension is not recognized, it's assumed not to be an image file.
For recognized image file extensions the function attempts to open the file as an image using Pillow's Image.open(). If this operation succeeds without errors then the function returns True indicating that the file is a valid image.
If there is an issue opening the file the function returns False.
This approach combines os.path for extracting file extensions and Pillow for checking whether the file is a valid image.
Example
import os from PIL import Image def is_image_file(file_path): image_extensions = {".jpg", ".jpeg", ".png", ".gif", ".bmp", ".tiff", ".ico"} #Add more extensions as needed _, file_extension = os.path.splitext(file_path) #Check if the file extension is in the set of image extensions return file_extension.lower() in image_extensions file_path = "Images/butterfly.jpg" if is_image_file(file_path): print("This is an image file.") Image.open(file_path) else: print("This is not an image file.")
Output
This is an image file.
Example
In this example we are passing the file extension as pdf, as it is not a image file extension the result will be not a image file.
import os from PIL import Image def is_image_file(file_path): image_extensions = {".jpg", ".jpeg", ".png", ".gif", ".bmp", ".tiff", ".ico"} #Add more extensions as needed _, file_extension = os.path.splitext(file_path) #Check if the file extension is in the set of image extensions return file_extension.lower() in image_extensions file_path = "Images/butterfly.pdf" if is_image_file(file_path): print("This is an image file.") Image.open(file_path) else: print("This is not an image file.")
Output
This is not an image file.